https://harmonydata.ac.uk/Recent content in AI-driven Data Discovery and Harmonisation on HarmonyHugo -- gohugo.ioen-GBCopyright © 2023 Ulster University.https://harmonydata.ac.uk/harmony-meta/Tue, 27 Jan 2026 00:00:00 +0000https://harmonydata.ac.uk/harmony-meta/Introducing Harmony Meta: A Simpler Way to Discover Research Metadata Finding the right data is the foundation of good research, but it shouldn’t be the hardest part of the process. We are pleased to announce the beta release of Harmony Meta, a search tool built to help researchers find datasets and study information more efficiently. This first version is now live, and we are inviting the research community to test it and help us shape its future.https://harmonydata.ac.uk/development/improved-pdf-model/Thu, 30 Oct 2025 00:00:00 +0000https://harmonydata.ac.uk/development/improved-pdf-model/Since we built Harmony, a common complaint has been that it frequently identifies the wrong questions in PDFs. The original algorithm for finding questions in PDFs was a mixture of rule based heuristics and some hand coded logic to look for e.g. lines in the document which begin with numbers. This was very fragile and worked fine on short questionnaires such as the GAD-7, but failed on larger documents. We decided to run a competition with our partner DOXA AI where members of the public could train their own model to extract questions from PDFs.https://harmonydata.ac.uk/ai-in-mental-health/harmony-at-mq-datamind/Fri, 02 May 2025 00:00:00 +0000https://harmonydata.ac.uk/ai-in-mental-health/harmony-at-mq-datamind/Harmony at MQ and Datamind Data Science workshop On 2 May 2025, Dr Eoin McElroy demonstrated Harmony at the MQ and Datamind Data Science workshop in Deutsche Bank. Eoin’s presentation focused on “Maximising the use of existing survey data: facilitating cross-study research using retrospective harmonization.” The workshop brought together researchers interested in applying novel harmonisation techniques to existing datasets. Eoin explained traditional harmonisation processes and presented a user-friendly guide to the Harmony tool, demonstrating how natural language processing can streamline the harmonisation process.https://harmonydata.ac.uk/chrome/Fri, 14 Mar 2025 00:00:00 +0000https://harmonydata.ac.uk/chrome/[Beta mode: we are currently testing this extension] We have developed a browser extension for Harmony called “Send to Harmony” which lets you send selected text to Harmony with a right-click. For PDFs, use the popup to paste your selected text. Send to Harmony enables users to send selected text to the Harmony Data Harmonization (https://harmonydata.ac.uk/) platform for analysis. This plugin provides a right-click or context menu item which allows users to easily bring text from into their harmonisations, making it easier to compare and analyze different measurement scales across research studies.https://harmonydata.ac.uk/open-source-for-social-science/harmony-updates-r-and-fine-tuned-llm/Tue, 11 Mar 2025 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/harmony-updates-r-and-fine-tuned-llm/We have a number of exciting updates to Harmony including: some improvements to the R library which have been asked for by researchers around the world who have been using Harmony on studies in lots of different topics as well as making our own fine tuned large language model available in the web UI, which is José’s winning model from the DOXA challenge which ended on 10 January 2025. Harmony has its own Large Language Model!https://harmonydata.ac.uk/ai-uk/Tue, 25 Feb 2025 00:00:00 +0000https://harmonydata.ac.uk/ai-uk/Harmony is an Official Partner of AI UK 2025 We are delighted to announce that Harmony is an Official Partner of AI UK 2025, the UK’s premier showcase for data science and artificial intelligence, hosted by The Alan Turing Institute. 📅 Date: 17-18 March 2025 📍 Location: Queen Elizabeth II Centre, Westminster, London At Harmony, we are pioneering AI-driven data harmonisation, enabling researchers to compare and integrate questionnaire data across diverse studies.https://harmonydata.ac.uk/compare-harmonise-instruments/phq-9-vs-gds/Mon, 10 Feb 2025 00:00:00 +0000https://harmonydata.ac.uk/compare-harmonise-instruments/phq-9-vs-gds/Harmonising PHQ-9 vs GDS Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages. You can try Harmony here: https://harmonydata.ac.uk/app. Harmony is also available as a Python and R package. You may also be interested in Harmony Meta, our new discovery engine that helps you search through vast catalogues of study metadata to identify the variables you need for your research.https://harmonydata.ac.uk/design-challenge/Mon, 13 Jan 2025 00:00:00 +0000https://harmonydata.ac.uk/design-challenge/Help us design the next phase of Harmony and win up to £300 in vouchers! Search and Results UX/UI Challenge Harmony is a platform for researchers to help them discover and compare complex meta-data across different academic studies. The project is a collaboration between University College London (UCL), The University of Ulster, and Fast Data Science and has been funded by the Economic and Social Research Council (ESRC) and by Wellcome as part of the Wellcome Data Prize in Mental Health.https://harmonydata.ac.uk/matching-challenge-winner-announcement/Mon, 13 Jan 2025 00:00:00 +0000https://harmonydata.ac.uk/matching-challenge-winner-announcement/It’s all over! The Matching Challenge is now officially closed. Thank you to everyone who took part. The wait is over! We have now closed the Matching Challenge which was hosted on DOXA AI. Over the course of the competition we saw a total of 26 participants with 14 finalists making it onto the scoreboard. The final days were tense with many participants improving on their scores, submitting different methods and swapping places at the top of the scoreboard.https://harmonydata.ac.uk/psychology-ai-tool/newspeak-house/Wed, 08 Jan 2025 00:00:00 +0000https://harmonydata.ac.uk/psychology-ai-tool/newspeak-house/Tech Talk: Building AI for Good - Showcase & Meetup at Newspeak House on 23 January 2025 We will present the open source AI tool Harmony at the second Building AI for Good - Showcase & Meetup on 23 January 2025 organised by Newspeak House. ​* 18:30 - Doors Open ​19:00 - 19:20: Thomas Wood (Fast Data Science) and Bettina Moltrecht on supporting psychologists with Harmony. We will discuss using generative AI and LLMs to help researchers discover datasets and compare items in mental health questionnaires, even when they are written in different languages.https://harmonydata.ac.uk/doxa-parsing/Fri, 20 Dec 2024 00:00:00 +0000https://harmonydata.ac.uk/doxa-parsing/Train your own Large Language Model to parse PDFs and win up to £1000 in vouchers! Join a competition to train a machine learning model to improve Harmony’s PDF parsing. You don’t need to have trained a machine learning model before. Register on DOXA AI Enter the competition on DOXA AI by fine tuning your own model and improve Harmony! Join our Discord Join the Harmony Discord server. Check out the 🏅「parsing-challenge」 channel!https://harmonydata.ac.uk/psychology-ai-tool/genai-llms-night/Thu, 12 Dec 2024 00:00:00 +0000https://harmonydata.ac.uk/psychology-ai-tool/genai-llms-night/Harmony at GenAI and LLMs night at Google London on 10 December 2024 Above: video of the AICamp meetup in London on 10 December 2024. Harmony starts at 40:00 - the first talk is by Connor Leahy of Conjecture We have presented the AI tool Harmony at the GenAI and LLMs night at Google London on 10th December organised by AI Camp at Google Cloud Startup Hub. AI Camp and Google hosted two deep dive tech talks on AI, GenAI, LLMs and machine learning, with food/drink, networking with speakers and fellow developers.https://harmonydata.ac.uk/open-source-for-social-science/training-workshop/Tue, 26 Nov 2024 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/training-workshop/Click to view the video of the training session Transforming data management with the Harmony Data Tool: A hands-on introduction We’re excited to be partnering with UK Data Service to deliver a practical workshop on how to best use our tools. The session will take place online on 29 November. With live demonstrations of the Harmony Data Tool’s key functionalities, participants will leave with a clear understanding of how this tool can improve their data management processes which will help improve the efficiency and accuracy of longitudinal data analysis.https://harmonydata.ac.uk/open-source-for-social-science/example-repository/Tue, 19 Nov 2024 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/example-repository/For users who have been using Harmony in their research, we have created an example scripts repository here https://github.com/harmonydata/harmony_examples This contains example R notebooks and Jupyter notebooks. You can upload your own example script if you have something to share with the research community. Example problems that users have been solving included: R examples Walkthrough R notebook in R Studio: Walkthrough R notebook in Google Colab: R Markdown to Check for Correspondence between Differently Worded Versions of the Same Scale Item View on Github - credit to Deanna Varley R Script to Check for Matches between Items from Different Scales View on Github - credit to Deanna Varley Python examples Walkthrough Python notebook Example script to create a crosswalk table on real survey data Example script to strip prefixes from questions Documentation View the PDF documentation of the R package on CRANhttps://harmonydata.ac.uk/open-source-for-social-science/discovery/Fri, 08 Nov 2024 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/discovery/New Feature in Development: Enhancing Harmony with User-Centred Discovery At Harmony, we’re working on a new feature aimed at making data discovery and exploration - through the use of meta-data - even more efficient and intuitive To ensure this feature addresses real needs, we’re conducting co-design sessions with researchers, data-managers and other users, allowing us to develop a tool that solves real-life user requirements. The Co-Design Approach: Co-design allows us to build this feature with direct input from those who will use it most.https://harmonydata.ac.uk/open-source-for-social-science/good-first-issues-python-and-r/Tue, 29 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/good-first-issues-python-and-r/We have a few more issues that have been added to the issue trackers. If you are new and would like to make a pull request in either the Python or R libraries feel free to pick these up - they should be quite small. Easy issues in Python library We would like to expose the “between instrument matches” and the “negation” switches in the Python library and then from the API side.https://harmonydata.ac.uk/data-harmonisation/clinical-trial-research-data-harmonisation/Sun, 27 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/clinical-trial-research-data-harmonisation/Clinical trial and research data harmonisation principles In the realm of healthcare, clinical trials serve as the bedrock of evidence-based medicine, guiding decisions that affect patient care and public health policies. However, the effectiveness of these trials hinges on the quality and compatibility of the data they generate. The harmonisation of clinical research data emerges as a pivotal endeavour in ensuring the integrity and interpretability of trial outcomes. In this blog post, we delve into the principles of clinical data harmonisation, exploring its significance in clinical trials and elucidating the strategies.https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-in-real-estate/Sun, 27 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-in-real-estate/Overview In this era of digital business, ‘data’ is considered priceless wealth. It’s an important resource which provides businesses with the necessary insights, visions, and suggestions to take on new approaches, continually innovate, and make more informed decisions which benefits everyone in the mix – in case of real estate, from the property owners, landlords, and tenants to real estate agencies, agents, stakeholders, and what have you. Data harmonisation refers to a process where data is selected from a variety of sources, such as internal operations and external interactions as well as day to day business activities, where the relevant information is synthesised to make it qualitative and easily connect between the different sources.https://harmonydata.ac.uk/data-harmonisation/international-cancer-data-harmonisation/Sun, 27 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/international-cancer-data-harmonisation/International cancer data harmonisation – The state of 2024 If we look at the last decade alone, biomedical sciences have changed a lot. The data they must gather on a daily basis has also evolved to be vaster, more natively web-based, more interdependent, and more distributed. It’s a transformation that has fundamentally diversified not only the actors responsible for conducting analyses but also the types of data accessed. In order to find the answers to some incredibly complex scientific questions posed by the entire range of stakeholders in healthcare, we need to have specific systems and standards implemented in order to address the challenge of using data that is both unified and meaningful.https://harmonydata.ac.uk/data-harmonisation/master-data-harmonisation/Sun, 27 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/master-data-harmonisation/Unlocking Business Value through Master Data Harmonisation “The world is one big data problem.” – Andrew McAfee, Co-director of the MIT Initiative on the Digital Economy. Indeed, data can turn into a significant problem when organizations don’t know how to effectively manage and use it. Today, businesses deal with a lot of data. If they don’t handle this data well, it can become too much to manage. This can cause businesses to miss chances, work less efficiently, and make bad decisions.https://harmonydata.ac.uk/data-harmonisation/pharma-r-and-d-data-harmonisation/Sun, 27 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/pharma-r-and-d-data-harmonisation/Overview The pharmaceutical industry is mired in regulatory compliance requirements, which means businesses need to have well-established pharmaceutical R&D data harmonisation standards. Any omission, inaccuracies, inconsistencies or errors in data recording and reporting can carry a lot of risk, which means pharmaceutical R&D data harmonisation companies must be able to provide a complete audit trail of each step within every process – from the development of drugs or products to bringing them to the market to tracking them throughout their lifespan.https://harmonydata.ac.uk/doxa/Mon, 21 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/doxa/Harmony on DOXA AI: Train your own Large Language Model and win up to £500 in vouchers! Join a competition to train a Large Language Model for mental health data. You don’t need to have trained a Large Language Model before. Register on DOXA AI Enter the competition on DOXA AI by fine tuning your own large language model and improve Harmony! Join our Discord Join the Harmony Discord server. Check out the 🏅「matching-challenge」 channel!https://harmonydata.ac.uk/open-source-for-social-science/women-in-data/Mon, 21 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/women-in-data/Harmony at Women In Data™️ London Chapter (online event) On 22 November, we will present Harmony at Women In Data™️ London Chapter’s event on Application of Generative AI and LLMs. Thomas Wood will demonstrate Harmony and how it uses Gen AI. The event will be livestreamed. ⏲️ 25 minutes talk + 10 minutes Q&A 📅 Date: November 22nd 2024, 6:15 pm 📝 RSVP See also our past events 22 November 2024: Harmony at Women In Data™️ London Chapter 30 October 2024: Onboarding webinar for DOXA AI competition 8 October 2024: Harmony: a free online tool using LLMs for research in psychology and social sciences at AI|DL London 11 and 12 September 2024: Harmony at MethodsCon Futures in Manchester 2 July 2024: Harmony: NLP and generative models for psychology research at Pydata London 3 June 2024: Harmony Hackathon at UCL 5 May 2024: Harmony: A global platform for harmonisation, translation and cooperation in mental health at Melbourne Children’s LifeCourse Initiative seminar series.https://harmonydata.ac.uk/psychology-ai-tool/aidl-meetup/Tue, 08 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/psychology-ai-tool/aidl-meetup/Tech Talk at the AI|DL AI Meetup (London) Artificial Intelligence and Deep Learning for Enterprise Thomas Wood presents the Harmony project at the 19th AI and Deep Learning for Enterprise meetup on 8 October 2024. In case you missed the talk about Harmony on Tuesday at Civo Tech Junction with AI and Deep Learning for Enterprise sponsored by Daemon, you can now watch the recording of the live stream on AI|DL’s channel.https://harmonydata.ac.uk/ai-in-mental-health/Mon, 07 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/ai-in-mental-health/AI in mental health research Artificial intelligence (AI) is revolutionising numerous fields, and mental health research is no exception. By harnessing the power of AI, researchers are gaining unprecedented insights into the complexities of mental health, leading to more effective interventions and treatments. One notable example of AI’s impact is the development of tools like Harmony. This innovative AI tool, originally funded by the Wellcome Trust as part of the Wellcome data prize and later by UKRI, uses natural language processing (NLP) to streamline the harmonisation of mental health questionnaires.https://harmonydata.ac.uk/psychology-ai-tool/Mon, 07 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/psychology-ai-tool/Psychology AI Tools: Revolutionising research with Harmony and beyond The landscape of psychology research is undergoing a transformation thanks to the power of Artificial Intelligence (AI). AI tools are not only streamlining data analysis but also unlocking new avenues for understanding human behavior. Let’s explore some of these advancements, with a special focus on the innovative tool Harmony. Harmony: Streamlining Questionnaire Harmonisation One major hurdle in psychology research is data harmonisation.https://harmonydata.ac.uk/item-harmonisation/Sun, 06 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/Conquer the Chaos of Questionnaires: Item harmonisation made easy Researchers in psychology and social sciences frequently face a challenge: comparing data from different questionnaires. For example, they may be combining cohort studies or longitudinal studies or pooling data for cross cohort research. Imagine trying to compare responses to “I often feel anxious” with “Feeling nervous, anxious or afraid” – even though they seem similar, they might not capture the same level of anxiety.https://harmonydata.ac.uk/ai-in-mental-health/research-funders-ai-governance/Wed, 02 Oct 2024 00:00:00 +0000https://harmonydata.ac.uk/ai-in-mental-health/research-funders-ai-governance/How are research funders reacting to the AI governance vacuum? A recent article by Sense about Science, a leading independent charity that promotes the public interest in sound science and evidence, highlights the growing need for responsible AI governance in research. The article, titled Research funders tackle AI governance vacuum with pragmatic guidance, discusses the alarming gap between the rapid development and adoption of AI tools, and the lack of clear frameworks for their safe and ethical use.https://harmonydata.ac.uk/ai-in-mental-health/harmony-at-methodscon-futures/Wed, 11 Sep 2024 00:00:00 +0000https://harmonydata.ac.uk/ai-in-mental-health/harmony-at-methodscon-futures/MethodsCon in Manchester We have attended MethodsCon: Futures in Manchester, run by the National Centre for Research Methods on 11 and 12 September 2024 to present Harmony, the NLP and AI tool we have been developing for researchers in social science, funded by Wellcome and the Economic and Social Research Council. The events took place at The Edwardian Manchester. Methods Showcase – 11th September The first event was a workshop on 11 September:https://harmonydata.ac.uk/discovery/Thu, 05 Sep 2024 00:00:00 +0000https://harmonydata.ac.uk/discovery/Harmony discovery Click to visit Discovery dash prototypehttps://harmonydata.ac.uk/ai-in-mental-health/bmc-psychiatry-paper/Tue, 20 Aug 2024 00:00:00 +0000https://harmonydata.ac.uk/ai-in-mental-health/bmc-psychiatry-paper/BMC Psychiatry has published our paper validating Harmony on real-world data We are pleased to announce the publication of a paper validating Harmony on real-life data: Using natural language processing to facilitate the harmonisation of mental health questionnaires: a validation study using real-world data, authored by Eoin McElroy, Thomas Wood, Raymond Bond, Maurice Mulvenna, Mark Shevlin, George B. Ploubidis, Mauricio Scopel Hoffmann and Bettina Moltrecht, and published in BMC Psychiatry.https://harmonydata.ac.uk/integrating-with-harmony/Wed, 24 Jul 2024 00:00:00 +0000https://harmonydata.ac.uk/integrating-with-harmony/Sending data from another website to Harmony using Javascript We have exposed functionality for external websites to integrate with Harmony and add an “import to Harmony” button, either generated in Javascript or in Python. Create an Instrument object with at least an instrument_name and questions property in JSON - the questions must have a question_no and question_text properties eg: { "instrument_name": "Smoking behaviour", "questions": [ { "question_no": "1", "question_text": "Do you currently smoke or have you ever smoked?https://harmonydata.ac.uk/open-source-for-social-science/pydata-meetup/Sun, 23 Jun 2024 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/pydata-meetup/Harmony at PyData London - 86th Meetup Update: you can download the slides from the presentation here Topic: NLP and generative models for psychology research Thomas Wood will present our work on Harmony, harmonydata.ac.uk, which is a free online tool that uses generative AI and LLMs to help psychologists analyse datasets. It uses Python, Pandas and HuggingFace Sentence Transformers to find similarities between questionnaires. Psychologists and social scientists often have to match items in different questionnaires, such as “I often feel anxious” and “Feeling nervous, anxious or afraid”.https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-in-education/Wed, 05 Jun 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-in-education/Data Harmonisation in Education: Overview The term ‘harmonisation’ has often been used in different contexts – for example, to describe similar phenomena, such as collaboration, coherence, alignment, integration, partnership, etc. However, we might argue that these concepts might do nothing more than indicate the extent and scale of integration among different entities when it comes to regional cooperation. Now, the underlying degree of interaction between all the players involved can run a lot deeper and tighter when we transition from collaboration, partnership, and cooperation to integration, community, harmonisation, and interdependence.https://harmonydata.ac.uk/item-harmonisation/find-matching-and-common-items-in-questionnaires-and-surveys/Mon, 27 May 2024 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/find-matching-and-common-items-in-questionnaires-and-surveys/When researchers take on the task of analysing data from surveys and questionnaires, they often encounter a significant obstacle: finding matching or common items across different sources. This challenge is due to the many different ways questions are asked or formatted. This makes it tough to compare and merge data effectively. According to Forbes, researchers spend up to 80% of their time just getting data ready for analysis, and a big part of that time goes into harmonising data.https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-in-public-sector/Mon, 20 May 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-in-public-sector/Overview Public administrations today are tasked with managing massive volumes of data in multiple formats, often using different management methods, as per the demands of their individual organisations. It’s also become common for them to host multiple copies of that data across different repositories. As a result, the data can often be disseminated across multiple regions, especially in terms of content and presentation, unless it is ‘harmonised’. This is one reason why there is so much re-use at the low level of existing information on citizens and businesses, for example.https://harmonydata.ac.uk/data-harmonisation/extract-process-data-from-questionnaires/Mon, 20 May 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/extract-process-data-from-questionnaires/More than thirty years ago, John Naisbitt put into words a feeling many of us recognise today in “Megatrends,” saying, “We are drowning in information but starved for knowledge.” This statement is incredibly relevant in today’s world, filled to the brim with data for research, analysis, and making decisions. The job of pulling and refining data from questionnaires is key, as these are so many insights and so much valuable feedback.https://harmonydata.ac.uk/ai-in-mental-health/harmony-at-lifecourse-seminar/Wed, 15 May 2024 00:00:00 +0000https://harmonydata.ac.uk/ai-in-mental-health/harmony-at-lifecourse-seminar/Harmony at Lifecourse seminar On 15 May 2024, Eoin McElroy and Bettina Moltrecht gave a seminar Harmony: A global platform for harmonisation, translation and cooperation in mental health research for the Melbourne Children’s LifeCourse Initiative seminar series.https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-in-biopharma/Tue, 30 Apr 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-in-biopharma/Harmonising Data in Biopharma In the biopharmaceutical sector, the collection and analysis of data from diverse sources: clinical trials, real-world evidence (RWE), patient registries, and more—are fundamental to drug development, regulatory approval, and post-market surveillance. However, data from these sources often vary in format, nomenclature, and measurement standards, making it challenging to aggregate and analyse them effectively. Data harmonisation addresses these challenges by standardising disparate data for seamless integration, analysis, and interpretation.https://harmonydata.ac.uk/open-source-for-social-science/hackathon/Mon, 22 Apr 2024 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/hackathon/The Harmony Hackathon Come and join us for a day of coding, collaboration, and creativity at the Harmony Hackathon! Whether you’re a seasoned programmer or just starting out, this event is perfect for anyone interested in tech and innovation. You can sign up on Eventbrite! The AI Hackathon event will be held at Chandler House (UCL), providing a vibrant and inspiring atmosphere for all participants. Get ready to work on exciting projects, learn new skills, and connect with like-minded individuals.https://harmonydata.ac.uk/data-harmonisation/harmonising-questionnaire-data-consistency/Tue, 16 Apr 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/harmonising-questionnaire-data-consistency/How to Harmonise Questionnaires - 10 Practical Steps (+ 1 Bonus Tip) Data privacy is a big challenge today. It’s all about what we share and what we don’t. Zoher Karu said it well: “One of the biggest challenges is around data privacy and what is shared versus what is not shared. And my perspective on that is consumers are willing to share if there’s value returned. One-way sharing is not going to fly anymore.https://harmonydata.ac.uk/mastering-survey-data-analysis-with-harmony-a-smart-guide/Tue, 09 Apr 2024 00:00:00 +0000https://harmonydata.ac.uk/mastering-survey-data-analysis-with-harmony-a-smart-guide/Comparing Apples to Oranges: How to Analyse Two Completely Different Surveys So, you’ve created a survey (or multiple surveys), convinced people to take part and answer your questions, and have received the results. Great job! Yet, the real test comes when it’s time to make sense of these survey findings. Today, we’ll take a look at why you need surveys, how to design effective surveys, how to analyse survey data, how to analyse survey data with multiple responses, and how to do data harmonisation when you’re dealing with multiple surveys.https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-tools-frameworks/Tue, 02 Apr 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-tools-frameworks/Data Harmonisation Tools – Overview Organisations typically collect data from multiple sources and for many different reasons. This data comes in various forms and formats – for example, it may be coming from market research, customer research or inter-organisation departments. Data harmonisation, an advanced technique used to make sense of all the raw data collected and uses for research purposes, becomes necessary in this case, but unless it is incorporated effectively, organisations might miss the full, holistic view of business performance that they wish to gain.https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-for-marketing-success-strategies-and-insights/Tue, 26 Mar 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-for-marketing-success-strategies-and-insights/In the digital age, where data is as valuable as currency, marketing professionals face the challenge of navigating through vast oceans of information. The key to unlocking the potential of this data lies in harmonisation - a process that not only streamlines disparate data sources but also unlocks profound insights for targeted and effective marketing strategies. Data harmonisation is a critical process in the marketing world, enabling organizations to standardize, integrate, and leverage data from diverse sources for strategic decision-making.https://harmonydata.ac.uk/harmonised-data/Tue, 26 Mar 2024 00:00:00 +0000https://harmonydata.ac.uk/harmonised-data/About Harmonised Data and The Harmony Project If you’ve ever heard of data integration then you can easily understand what harmonised data or data harmonisation is: where disparate data sources are brought together into a single, unified location. But where harmonisation goes a step further is that it reorganises data according to the parameters set by a single schema. Let’s say you want to combine surveys or questionnaires on mental health with different kinds of wording for similar questions, like “anxiety” vs.https://harmonydata.ac.uk/psychology-ai-tool/aicamp-meetup/Fri, 22 Mar 2024 00:00:00 +0000https://harmonydata.ac.uk/psychology-ai-tool/aicamp-meetup/Upcoming Tech Talk: at the AICamp AI Meetup (London): AI, Generative AI, LLMs Update: you can download the slides from the presentation here We’re pleased to announce that the AI tool Harmony will be showcased at the upcoming AICamp AI Meetup in London on 27 March. You are invited to AICamp’s monthly in-person AI meetup in London. Join us for deep dive tech talks on AI, GenAI, LLMs and machine learning, food/drink, networking with speakers and fellow developershttps://harmonydata.ac.uk/data-harmonisation/data-harmonisation-in-healthcare/Tue, 19 Mar 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-in-healthcare/Introduction In the realm of healthcare, integrating and harmonising data across public and private records is crucial for advancing patient care, research, and policy-making. Data harmonisation in healthcare is a pivotal process for integrating diverse data sources, ranging from public health records to private medical data. This endeavor aims to standardize and unify data for more comprehensive insights, enhancing patient care, research capabilities, and policy-making. This blog explores the concept, significance, and methodologies of data harmonisation in healthcare, referencing key sources and projects in the field.https://harmonydata.ac.uk/data-harmonisation/tabulate-questionnaire-survey-result-data/Tue, 05 Mar 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/tabulate-questionnaire-survey-result-data/Tabulating questionnaires and survey results is a crucial step in data analysis, providing insights into patterns, preferences, and trends among your respondents. This comprehensive guide will walk you through the process, from understanding basic concepts to applying these principles through a practical exercise. By the end, you will be equipped with the knowledge to efficiently organise, analyse, and interpret your survey data. Introduction Tabulation involves organizing and summarizing data in a structured format, usually in tables, to facilitate analysis.https://harmonydata.ac.uk/data-harmonisation/10-data-harmonisation-examples-that-move-businesses-and-organisations-forward/Tue, 27 Feb 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/10-data-harmonisation-examples-that-move-businesses-and-organisations-forward/Did you know that every day, humanity generates 2.5 quintillion bytes of data? That’s like stacking CDs from Earth to Moon twice! Decisions are increasingly driven by data, which is a big reason why the practice of data harmonisation has become essential in research and the realm of business analytics. Data harmonisation means combining data from different places to make sure it matches up and can be compared. This is vital for making sense of the huge amounts of data we collect and helps us find clear and important insights.https://harmonydata.ac.uk/data-harmonisation/combine-multiple-survey-sources-best-practices/Tue, 27 Feb 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/combine-multiple-survey-sources-best-practices/In today’s data-driven world, surveys are a pivotal tool for researchers, marketers, and decision-makers. They offer invaluable insights into consumer behavior, employee satisfaction, and wide-ranging social issues. However, the challenge often lies in harmonising data from multiple survey sources to draw coherent, actionable conclusions. This blog explores best practices for combining survey data, inspired by cutting-edge methodologies. Table of Contents Introduction Understanding Data Harmonisation Understanding the Landscape Data Integration Techniques Addressing Challenges Leveraging Technology Case Study: Integration of Survey Data to Identify Retail Market Trends Conclusion References Introduction Creating a comprehensive harmonises data from multiple survey sources is both an art and a science.https://harmonydata.ac.uk/ai-in-mental-health/news-coverage/Wed, 21 Feb 2024 00:00:00 +0000https://harmonydata.ac.uk/ai-in-mental-health/news-coverage/21 Feb 2024, University College London University College London has posted on their website about the Harmony project. Read more on UCL’s website 26 Jan 2024, Software Sustainability Institute The team on the Harmony project contacted the Software Sustainability Institute (SSI) and had some conversations with Steve Crouch from the SSI and the University of Southampton about making our software more sustainable. Read more on the SSI’s website 28 September 2023, Ulster University Ulster University’s Psychology department post writes, “The Harmony project is running at Ulster University in collaboration with University College London, the Universidade Federal de Santa Maria and Fast Data Science.https://harmonydata.ac.uk/data-harmonisation/what-is-truly-harmonised-data/Tue, 13 Feb 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/what-is-truly-harmonised-data/What is Truly Harmonised Data: A Practical Overview In the era of data-driven decision-making, the concept of harmonised data has emerged as a cornerstone for businesses aiming to leverage their data assets fully. However, despite its critical importance, there exists a significant gap between the perception and reality of data harmonisation in the business world. This blog post aims to demystify harmonised data, highlight the common misconceptions businesses have about their data being harmonised, and explore examples of content that have successfully attracted traffic on this topic.https://harmonydata.ac.uk/open-source-for-social-science/what-features-would-you-like-to-see-in-harmony/Sun, 11 Feb 2024 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/what-features-would-you-like-to-see-in-harmony/Please fill out this form to give feedback on Harmony, an open source tool for social science. Click here to view other people’s responses.https://harmonydata.ac.uk/open-source-for-social-science/harmony-orientation-session/Fri, 09 Feb 2024 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/harmony-orientation-session/Here’s the link to join our Discord, where you can find the event: https://discord.gg/harmonydata! Announcing: Harmony Orientation Session! 🌐 Date & Time: Monday 19 February 2024, at 10am UK time Location: ⁠Discord Video of the event Hey Harmony Community! We’re excited to invite you to our upcoming Orientation Session on Discord! Whether you’re new to Harmony or looking to dive deeper into our projects, this event is for you. During the session, we’ll cover:https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-steps-techniques-best-practices/Tue, 06 Feb 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/data-harmonisation-steps-techniques-best-practices/Introduction In the digital age, data is often collected from multiple sources, leading to variability in formats, standards, and quality. Data harmonisation addresses these issues by transforming disparate data into a cohesive dataset, enabling better analysis, insights, and decision-making. It is essential for organisations looking to leverage their data assets across diverse systems and platforms. Data harmonisation involves several key steps: preparing, transforming, and validating data. Additionally, it’s built on a foundation of best practices that ensure the integrity, accuracy, and usability of the harmonised data.https://harmonydata.ac.uk/ideas/Sun, 04 Feb 2024 00:00:00 +0000https://harmonydata.ac.uk/ideas/Project ideas for future development of Harmony Accepted project ideas Below you can see the list of project ideas aligned with Harmony’s standards, all designed to elevate the functionality and accessibility of Harmony. These proposals aim to fortify Harmony as a comprehensive tool for researchers navigating questionnaire item harmonisation across diverse studies. Each idea maintains a clear scope, typically avoiding extensive overhauls. Quick-start guidelines and beginner-friendly tasks are provided for each idea.https://harmonydata.ac.uk/open-source-for-social-science/kaggle/Thu, 01 Feb 2024 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/kaggle/Harmony launches on Kaggle! We are proud to have launched our first competition on Kaggle! The primary challenge of this competition is to develop an AI tool or method that can accurately extract questionnaire questions from documents, primarily PDFs. This competition offers a unique opportunity for participants to contribute to the field of natural language processing and document analysis as well as open source for social science while developing solutions that have real-world applications.https://harmonydata.ac.uk/data-harmonisation/data-standardisation-vs-harmonisation/Tue, 30 Jan 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/data-standardisation-vs-harmonisation/Data Standardisation vs Harmonisation: The Right Things at the Right Times In the evolving landscape of data management, two concepts often come to the forefront: data standardisation and data harmonisation. Both play critical roles in how organisations manage and utilise their data, but they serve different purposes and are applicable in various contexts. This article delves into the nuances of each concept, particularly focusing on their significance in business and scientific environments.https://harmonydata.ac.uk/data-harmonisation/Tue, 23 Jan 2024 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/Data Harmonisation: Unifying Data for Deeper Insights What is Data Harmonisation? In today’s data-driven world, data harmonisation has become increasingly important. With data coming from disparate sources, it’s essential to ensure that this information is consistent, accurate, and usable. For example, in a large study in social sciences, such as a longitudinal study or meta-analysis, it is common that a researcher may want to combine data from different studies. We can make data comparable by recoding variables from different studies, modifying them, or identifying which variables in one study match variables in another study.https://harmonydata.ac.uk/open-source-for-social-science/Sat, 06 Jan 2024 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/How can I contribute to an open source project? Your guide to contributing to open source projects Are you feeling intimidated by the thought of stepping into the world of open source contributions? You don’t have to be an expert to help. You might find this guide helpful: https://opensource.guide/how-to-contribute as well as the Reddit Opensource community. 1. Start small, think big: Don’t feel pressured to tackle the most complex issues right away.https://harmonydata.ac.uk/open-source-for-social-science/formatting-help/Thu, 07 Dec 2023 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/formatting-help/How should I format my file for Harmony? Harmony supports the following file types: Word - download an example Word doc formatted for Harmony Excel - download an example Excel spreadsheet formatted for Harmony with two tabs for two questionnaires CSV - download an example tab separated CSV file formatted for Harmony PDF - download an example tabular PDF document formatted for Harmony If you want to upload multiple questionnaires in a single file, you can use Excel format and put them in separate tabs.https://harmonydata.ac.uk/open-source-for-social-science/troubleshooting-harmony/Thu, 07 Dec 2023 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/troubleshooting-harmony/Troubleshooting Harmony Harmony didn’t find anything in my PDF Harmony tends to perform better if you upload a file with item numbers. If there are are no question numbers in the instrument, it’s very hard for Harmony to distinguish question text from other content such as the copyright information. Click here to see an example PDF with question numbers included. Also, if your PDF is a scanned document, please see if you can find a fully digitised (OCR’ed) version of the document.https://harmonydata.ac.uk/open-source-for-social-science/sustainability/Wed, 01 Nov 2023 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/sustainability/Longevity is a tricky topic in software development. We’ve been thinking about how we can make sure that Harmony continues to operate for a long time in the future, since Harmony is intended as a public good for researchers to use with no strings attached (an open source tool for social science). Sustainability assessment In April 2023, we completed the software sustainability assessment with the Software Sustainability Institute, which gave us 29 recommended improvements to make Harmony more sustainable.https://harmonydata.ac.uk/open-source-for-social-science/harmony-update-new-features-and-bug-fixes/Wed, 04 Oct 2023 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/harmony-update-new-features-and-bug-fixes/Harmony update: new features and bug fixes We are pleased to announce the release of a new update to Harmony, our open source online platform for harmonising question items. This update includes a number of new features and bug fixes, designed to improve the user experience and make Harmony even more useful for researchers. New features: Complete reworking of the search functionality: The search functionality in Harmony has been completely rewritten to support Lucene-like queries.https://harmonydata.ac.uk/open-source-for-social-science/harmony-r-notebook-r-markdown-example/Sun, 01 Oct 2023 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/harmony-r-notebook-r-markdown-example/This notebook shows how you can use Harmony to find the similarity matrix between two questionnaires: the Child Behavior Checklist (CBCL) and GOASSESS. The Harmony project is an open source data harmonisation project that uses Natural Language Processing to help researchers make better use of existing data from different studies by supporting them with the harmonisation of various measures and items used in different studies. Harmony was developed as a collaboration between Ulster University, University College London, the Universidade Federal de Santa Maria, and Fast Data Science.https://harmonydata.ac.uk/open-source-for-social-science/harmony-cran/Wed, 06 Sep 2023 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/harmony-cran/We are excited to announce that Harmony, an open source Natural Language Processing tool for data harmonisation, is now available on the Comprehensive R Archive Network CRAN! Previously, Harmony R could be installed using devtools. Harmony can be used to compare questionnaire items across studies, find the best match for a set of items, and identify different versions of the same questionnaire. Harmony is a collaboration project between Ulster University, University College London, the Universidade Federal de Santa Maria, and Fast Data Science.https://harmonydata.ac.uk/open-source-for-social-science/harmony-r-package/Mon, 21 Aug 2023 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/harmony-r-package/We have developed the R package for Harmony and open sourced it. To get started, you need R installed on your system. Click here to try an example in Google Colab. Here’s a Jupyter Notebook with an example using Harmony in R Installing R library We are currently submitting the R library to CRAN. In the meantime, you can install the development version of harmonydata from GitHub (documentation in the README file):https://harmonydata.ac.uk/share-your-harmonisations-on-social-media/Sun, 20 Aug 2023 00:00:00 +0000https://harmonydata.ac.uk/share-your-harmonisations-on-social-media/Now you can share your harmonisations with your colleagues with a simple share link! We’ve added Firebase authentication to Harmony. You can log in with Google, Github or Twitter, and then you can see all your previous harmonisation work. You can even share your work with colleagues on LinkedIn, Twitter, or via URL. You’ll then be taken to the dialogue box in your chosen platform, where you can share your work as normal.https://harmonydata.ac.uk/psychology-ai-tool/harmony-many-languages/Sat, 19 Aug 2023 00:00:00 +0000https://harmonydata.ac.uk/psychology-ai-tool/harmony-many-languages/Привет Гармония! 哈莫尼可以让中英文和谐！ שלום הרמוני Harmony peut aussi harmoniser les instruments en français. We’re happy to share some exciting news with you. Harmony now supports at least 8 languages: Portuguese, French, German, Spanish, Russian, Chinese, and Hebrew. This means that you can use Harmony to compare and harmonise questionnaire data across studies that are written in different languages. I evaluated Harmony’s ability to match the GAD-7 in 11 languages to the English version.https://harmonydata.ac.uk/ai-in-mental-health/harmony-and-tidal-workshop/Fri, 18 Aug 2023 00:00:00 +0000https://harmonydata.ac.uk/ai-in-mental-health/harmony-and-tidal-workshop/On Thursday, August 17th, 2023, the Harmony and TIDAL teams teamed up to run a workshop at University College London to allow researchers to try out their software tools. The workshop was attended by researchers interested in using these tools to study child and adolescent mental health, and other areas in social science research, from the effects of gambling addiction to asking questions about nature vs nurture in twin studies.https://harmonydata.ac.uk/open-source-for-social-science/running-harmony-in-your-browser-with-no-internet-connection/Wed, 12 Jul 2023 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/running-harmony-in-your-browser-with-no-internet-connection/Here’s a quick start guide to running Harmony, an open source tool for social science research. These instructions are for the complete version of Harmony including the graphical browser-based tool which is available online at https://harmonydata.ac.uk/app/. If you only need the Python or R libraries, or the REST API, please refer to our Github page. You will need to first download and install a couple of programs that Harmony needs to run.https://harmonydata.ac.uk/sign-up-to-test-harmony/Wed, 28 Jun 2023 00:00:00 +0000https://harmonydata.ac.uk/sign-up-to-test-harmony/We are running workshops to test Harmony so that we can plan future development – see the signup link here.https://harmonydata.ac.uk/open-source-for-social-science/harmony-api/Wed, 07 Jun 2023 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/harmony-api/We are pleased to announce that the Harmony REST API is now released. The source code (open source under MIT License) is at https://github.com/harmonydata/harmonyapi and the API reference PDF can be seen at https://github.com/harmonydata/harmonyapi/blob/main/docs/API_reference.pdf. Meanwhile, you can install and run Harmony Python library with pip install harmonydata How does Harmony work in layman’s terms? Harmony compares questions from different instruments by converting them to a vector representation and calculating their similarity.https://harmonydata.ac.uk/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/Sun, 02 Apr 2023 00:00:00 +0000https://harmonydata.ac.uk/nlp-semantic-text-matching/harmony-on-kufungisisa-a-cultural-concept-of-distress-from-zimbabwe/Many psychologists believe that mental illnesses can vary across cultures. In 1904, Emil Kraepelin initiated the field of comparative psychiatry after studying mental health disorders in Java, writing that “Die Eigenart eines Volkes wird auch in der Häufigkeit und klinischen Gestaltung seiner Geistesstörungen zum Ausdruck kommen,” meaning “The peculiarity of a people[ethnic group] will also be expressed in the frequency and clinical form of its mental disorders.”[1] More than a century later, the emergence of global mental health research projects has opened a number of debates about the applicability of psychiatric categories to different cultural settings, such as those in the Diagnostic and Statistical Manual of Mental Disorders (DSM) series[2].https://harmonydata.ac.uk/nlp-semantic-text-matching/measuring-the-performance-of-nlp-algorithms/Sat, 25 Feb 2023 00:00:00 +0000https://harmonydata.ac.uk/nlp-semantic-text-matching/measuring-the-performance-of-nlp-algorithms/Harmony was able to reconstruct the matches of the questionnaire harmonisation tool developed by McElroy et al in 2020 with the following AUC scores: childhood 84%, adulthood 80%. Harmony was able to match the questions of the English and Portuguese GAD-7 instruments with AUC 100% and the Portuguese CBCL and SDQ with AUC 89%. Harmony was also evaluated using a variety of transformer models including MentalBERT, a publicly available pretrained language model for the mental healthcare domain.https://harmonydata.ac.uk/ai-in-mental-health/radio-podcast-about-wellcome-data-prize/Sat, 11 Feb 2023 00:00:00 +0000https://harmonydata.ac.uk/ai-in-mental-health/radio-podcast-about-wellcome-data-prize/The Wellcome Data Prize was recently featured on Smile 90.4FM, a radio station in South Africa. In this episode, Inês Pote discussed the Wellcome Data Prize in Mental Health. Wellcome is on the lookout for teams that develop innovative ways to use data to improve the prevention, treatment, and management of anxiety and depression in young people in South Africa. See also - during the Wellcome Data Prize we participated in a joint workshop with TIDAL, another team in the Data Prize.https://harmonydata.ac.uk/ai-in-mental-health/harmony-going-forward/Thu, 09 Feb 2023 00:00:00 +0000https://harmonydata.ac.uk/ai-in-mental-health/harmony-going-forward/5 key things Implementation Science has taught us to focus on Yesterday the Harmony team received the wonderful news that we are given the chance to continue working on Harmony for another six months, after which we can put ourselves forward for the final round. The Wellcome Mental Health Data Prize has chosen an unusual (for the research world) approach this time, using a “Dragon’s Den” style scheme where research teams can pitch their ideas to win funding for their projects.https://harmonydata.ac.uk/nlp-semantic-text-matching/Wed, 08 Feb 2023 00:00:00 +0000https://harmonydata.ac.uk/nlp-semantic-text-matching/Semantic text matching is a task in natural language processing involving estimating the semantic similarity between two texts. For example, if we had to quantify the similarity between “I feel nervous” and “I feel anxious”, most people would agree that these are closer together than either sentence is to “I feel happy”. A semantic text matching algorithm would be able to place a number on the similarity, such as 79%.https://harmonydata.ac.uk/open-source-for-social-science/marketing-for-open-science/Sun, 15 Jan 2023 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/marketing-for-open-science/Marketing is important for an open science NLP project such as Harmony for several reasons: To raise awareness of the project and its goals. Research projects are often complex and technical, so it’s important to communicate their value and potential to a wide audience. Marketing can help to do this by creating clear and concise messaging, and by promoting the project through channels that reach the target audience. To attract contributors and collaborators.https://harmonydata.ac.uk/data-harmonisation/back-to-the-future-retrospectively-harmonising-questionnaire-data/Thu, 10 Nov 2022 00:00:00 +0000https://harmonydata.ac.uk/data-harmonisation/back-to-the-future-retrospectively-harmonising-questionnaire-data/Now more than ever, the international research community are keen to determine whether their findings replicate across different contexts. For instance, if a researcher discovers a potentially important association between two variables, they may wish to see whether this association is present in other populations (e.g. different countries, or different generations). In an ideal world, this would be achieved by conducting follow-up studies that are harmonised by design. In other words, the exact same methodologies and measures would be used in a new sample, in order to determine whether the findings can be replicated.https://harmonydata.ac.uk/harmony-questionnaire/Thu, 10 Nov 2022 00:00:00 +0000https://harmonydata.ac.uk/harmony-questionnaire/https://harmonydata.ac.uk/ai-in-mental-health/ppie-for-secondary-data-analysis/Wed, 09 Nov 2022 00:00:00 +0000https://harmonydata.ac.uk/ai-in-mental-health/ppie-for-secondary-data-analysis/New Discoveries for Patient and Public Involvement About one year ago I fully entered the world of secondary data analysis research – away from applied mental health research with creative data collection methods and small sample sizes, towards big data and complex analyses efforts to overcome what someone deemed not worth measuring (Wait, why are we not assessing emotion regulation in each and every study 1?) Of course, I know we can’t measure everything and the decision of what to measure in studies is one of the hardest to make.https://harmonydata.ac.uk/nlp-semantic-text-matching/how-does-harmony-work/Thu, 03 Nov 2022 00:00:00 +0000https://harmonydata.ac.uk/nlp-semantic-text-matching/how-does-harmony-work/When you input two questionnaires into Harmony, such as the GAD-7 and Beck’s Anxiety Inventory, Harmony is able to match similar questions and assign a number to the match. (I have written another blog post on how we measured Harmony’s performance in terms of AUC). So how does Harmony achieve this? Harmony uses techniques from the field of natural language processing to identify when two questions deal with a similar topic.https://harmonydata.ac.uk/matilda/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/matilda/Case Study: Harmonising Psychological Distress Measures with Harmony Dr. Deanna Varley and Associate Professor Matthew Sunderland, both based at the Matilda Centre at the University of Sydney, have been using Harmony on a data harmonisation project with large population-based Australian surveys that have measured psychological distress with different scales and sometimes with different versions of the same scale. Their goal was to identify pre-existing data in Australia that has measured psychological distress and to combine and harmonise multiple large-scale Australian population surveys, each employing various psychological distress measures, into a unified dataset.https://harmonydata.ac.uk/discover-data/adhd-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/adhd-datasets-and-studies/ADHD datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about ADHD across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find ADHD datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find ADHD datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover ADHD Datasets with Harmony Discovery A common hurdle for researchers conducting studies about Attention Deficit Hyperactivity Disorder (ADHD) is finding relevant and comprehensive datasets.https://harmonydata.ac.uk/discover-data/alcohol-use-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/alcohol-use-datasets-and-studies/Alcohol Use datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Alcohol Use across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Alcohol Use datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Alcohol Use datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Alcohol Use datasets Alcohol misuse is a public health concern globally, putting strain on medical systems and having significant consequences on an individual’s personal life and health.https://harmonydata.ac.uk/discover-data/alexithymia-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/alexithymia-datasets-and-studies/Alexithymia datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Alexithymia across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Alexithymia datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Alexithymia datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Alexithymia Datasets with Harmony Discovery Researchers interested in Alexithymia can find a broad range of data sets on Harmony Discovery.https://harmonydata.ac.uk/discover-data/anhedonia-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/anhedonia-datasets-and-studies/Anhedonia datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Anhedonia across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Anhedonia datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Anhedonia datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Anhedonia Datasets with Harmony Discovery Anhedonia, experiencing a reduced interest in previously enjoyable activities and a decreased ability to experience pleasure, is a significant symptom of various mental health conditions.https://harmonydata.ac.uk/discover-data/antisocial-behaviour-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/antisocial-behaviour-datasets-and-studies/Antisocial Behaviour datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Antisocial Behaviour across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Antisocial Behaviour datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Antisocial Behaviour datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Antisocial Behaviour Datasets with Harmony Discovery As researchers, we often face the challenge of locating appropriate datasets for our studies, sorting through countless data points, and identifying those that align with our research objectives.https://harmonydata.ac.uk/discover-data/antisocial-personality-disorder-aspd-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/antisocial-personality-disorder-aspd-datasets-and-studies/Antisocial Personality Disorder (ASPD) datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Antisocial Personality Disorder (ASPD) across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Antisocial Personality Disorder (ASPD) datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Antisocial Personality Disorder (ASPD) datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/anxiety-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/anxiety-datasets-and-studies/Anxiety datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Anxiety across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Anxiety datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Anxiety datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Anxiety Datasets with Harmony Discovery As the need for rich, accurate data escalates in the field of mental health, researchers are finding powerful allies in tools like Harmony Discovery.https://harmonydata.ac.uk/discover-data/anxiety-sensitivity-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/anxiety-sensitivity-datasets-and-studies/Anxiety Sensitivity datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Anxiety Sensitivity across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Anxiety Sensitivity datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Anxiety Sensitivity datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Anxiety Sensitivity Datasets with Harmony Discovery In the realm of social sciences and mental health research, finding the right datasets can significantly streamline the research process.https://harmonydata.ac.uk/discover-data/aspergers-syndrome-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/aspergers-syndrome-datasets-and-studies/Asperger’S Syndrome datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Asperger’S Syndrome across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Aspergers Syndrome datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Asperger'S Syndrome datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Asperger’s Syndrome datasets with Harmony Discovery Welcome to a brand new era in social science research with Harmony Discovery, an intuitive tool that aids researchers in unearthing datasets on various topics, including Asperger’s Syndrome.https://harmonydata.ac.uk/discover-data/attachment-disorders-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/attachment-disorders-datasets-and-studies/Attachment Disorders datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Attachment Disorders across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Attachment Disorders datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Attachment Disorders datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Attachment Disorders Datasets with Harmony Discovery For researchers interested in exploring Attachment Disorders, finding the appropriate datasets can be a formidable task.https://harmonydata.ac.uk/ada/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/ada/Harmony case study The Australian Data Archive (ADA) is a national service for the collection and preservation of digital research data, similar to the UK Data Archive (UKDA). The ADA provides data access through the ADA Dataverse. The collection includes polls on housing conditions in Australian states, political views over time across the country, questions about employment or health, and other datasets that the ADA has collected over the years (such as the Australian election study).https://harmonydata.ac.uk/discover-data/autism-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/autism-datasets-and-studies/Autism datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Autism across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Autism datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Autism datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Autism Datasets with Harmony Discovery Researchers within the fields of social science, mental health, and healthcare often need quick access to rich, accurate, and related research datasets to aid their research process.https://harmonydata.ac.uk/discover-data/autism-spectrum-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/autism-spectrum-disorder-datasets-and-studies/Autism Spectrum Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Autism Spectrum Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Autism Spectrum Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Autism Spectrum Disorder datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/avoidant-personality-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/avoidant-personality-disorder-datasets-and-studies/Avoidant Personality Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Avoidant Personality Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Avoidant Personality Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Avoidant Personality Disorder datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/behavioural-problems-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/behavioural-problems-datasets-and-studies/Behavioural Problems datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Behavioural Problems across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Behavioural Problems datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Behavioural Problems datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Behavioural Problems Datasets with Harmony Discovery Harmony Discovery provides the ideal hub for social scientists and psychologists worldwide to explore specialised longitudinal studies.https://harmonydata.ac.uk/discover-data/bipolar-and-mania-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/bipolar-and-mania-datasets-and-studies/Bipolar and Mania datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Bipolar and Mania across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Bipolar and Mania datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Bipolar and Mania datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/bipolar-disorder-and-mania-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/bipolar-disorder-and-mania-datasets-and-studies/Bipolar Disorder and Mania datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Bipolar Disorder and Mania across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Bipolar Disorder and Mania datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Bipolar Disorder and Mania datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/borderline-personality-disorder-bpd-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/borderline-personality-disorder-bpd-datasets-and-studies/Borderline Personality Disorder (BPD) datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Borderline Personality Disorder (BPD) across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Borderline Personality Disorder (BPD) datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Borderline Personality Disorder (BPD) datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/cannabis-use-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/cannabis-use-datasets-and-studies/Cannabis Use datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Cannabis Use across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Cannabis Use datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Cannabis Use datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Cannabis Use Datasets with Harmony Discovery Harmony Discovery is an essential tool for researchers in social sciences who seek to find datasets about varied fields of study, one of which includes Cannabis Use.https://harmonydata.ac.uk/cohort-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/cohort-studies/Cohort Studies Cohort studies are a fundamental research design in the social sciences and medical fields, providing impactful insights by following groups of individuals with common characteristics over time. These longitudinal studies allow researchers to explore the effects of various exposures, treatments, and behaviors on specific outcomes, such as the incidence of diseases or psychological changes. Given the complexity and volume of data involved in cohort studies, it’s crucial for researchers to have efficient tools to discover relevant studies, datasets, and variables.https://harmonydata.ac.uk/cohort-studies/anxiety/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/cohort-studies/anxiety/Cohort Studies on Anxiety Anxiety is a prevalent mental health condition, characterized by excessive worry and fear that can disrupt daily activities and quality of life. According to the Diagnostic and Statistical Manual (DSM-5), experts define anxiety disorders by persistent and intense feelings of apprehension across various aspects of life for at least six months. Understanding the factors that contribute to anxiety disorders and identifying effective interventions are crucial areas of research in mental health.https://harmonydata.ac.uk/cohort-studies/depression/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/cohort-studies/depression/Cohort Studies on Depression Depression, particularly in older adults, demands focused research due to its complex interaction with various risk factors and its detrimental effects on health and quality of life. As the global population continues to age, understanding the trajectories of late-life depression becomes increasingly important. Cohort studies, a type of longitudinal study, offer a powerful approach to examine these trajectories by following groups of individuals over extended periods.https://harmonydata.ac.uk/community/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/community/Sign up for our upcoming hackathon! Hackathon Sign up for a hackathon! Try Kaggle Try your hand at our competition Join the Harmony community on Discord! Join our Discord server We now have a Harmony channel on Discord. Discord is an app that lets you text, chat, and communicate with others using video and audio (kind of like Skype). You can create a group chat for people who want to talk about the same general topic, or communicate with someone one-on-one.https://harmonydata.ac.uk/compare-harmonise-instruments/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/compare-harmonise-instruments/Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages. You can try Harmony here: https://harmonydata.ac.uk/app. Harmony is also available as a Python and R package. You may also be interested in Harmony Meta, our new discovery engine that helps you search through vast catalogues of study metadata to identify the variables you need for your research. Here are some of the harmonisations which can be done using Harmony:https://harmonydata.ac.uk/discover-data/conduct-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/conduct-disorder-datasets-and-studies/Conduct Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Conduct Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Conduct Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Conduct Disorder datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Conduct Disorder Datasets with Harmony Discovery Conduct Disorder (CD) is a serious behavioral and emotional disorder that can occur in children and teenagers.https://harmonydata.ac.uk/contact/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/contact/ Loading…https://harmonydata.ac.uk/cross-sectional-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/cross-sectional-studies/Cross Sectional Studies Cross-sectional studies play a crucial role in the field of epidemiology, providing snapshots of data at a single point in time. These studies help researchers measure the prevalence of health outcomes, understand determinants of health, and describe the characteristics of a population without the need for longitudinal follow-up. They are cost-effective, relatively simple to conduct, and serve as a foundational step in planning more advanced studies. However, finding relevant cross-sectional studies can be challenging.https://harmonydata.ac.uk/cross-sectional-studies/anxiety/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/cross-sectional-studies/anxiety/Cross Sectional Studies on Anxiety Cross Sectional Studies on Anxiety Anxiety is a widespread mental health challenge that affects millions of people globally. Understanding its prevalence, determinants, and effects on populations is crucial for effective intervention and treatment strategies. Cross-sectional studies, which analyze data from a population at a specific point in time, offer valuable insights into anxiety’s impact. However, identifying relevant studies and data can be a daunting task for researchers.https://harmonydata.ac.uk/cross-sectional-studies/depression/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/cross-sectional-studies/depression/Cross Sectional Studies on Depression Cross Sectional Studies on Depression In the ever-evolving fields of social sciences and healthcare research, understanding the prevalence and impact of mental health issues, such as depression, has never been more crucial. With progressive population ageing, depression in older adults demands particular attention due to its complex interaction with risk factors and its significant negative impact on health and quality of life. One valuable approach to exploring the prevalence of depression and its determinants within a population at a single point in time is through cross-sectional studies.https://harmonydata.ac.uk/discover-data/dependent-personality-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/dependent-personality-disorder-datasets-and-studies/Dependent Personality Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Dependent Personality Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Dependent Personality Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Dependent Personality Disorder datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/depression-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/depression-datasets-and-studies/Depression datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Depression across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Depression datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Depression datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Depression Datasets with Harmony Discovery As researchers, when working on longitudinal studies about depression, finding the right dataset is an essential part of our journey.https://harmonydata.ac.uk/discover-data/depressive-personality-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/depressive-personality-disorder-datasets-and-studies/Depressive Personality Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Depressive Personality Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Depressive Personality Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Depressive Personality Disorder datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Depression across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. What data sources does Harmony Discovery connect to? CLOSER Catalogue of Mental Health Measures UKLLC HDR UK ADR UK Examples of topics which can be found on Harmony Discovery Depression datasets and studies Psychopathy datasets and studieshttps://harmonydata.ac.uk/discover-data/eating-disorders-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/eating-disorders-datasets-and-studies/Eating Disorders datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Eating Disorders across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Eating Disorders datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Eating Disorders datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Eating Disorders Datasets Using Harmony Discovery If you’re a researcher in the area of social sciences and are interested in studying Eating Disorders, finding the right datasets to power your investigation is key.https://harmonydata.ac.uk/discover-data/emotional-problems-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/emotional-problems-datasets-and-studies/Emotional Problems datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Emotional Problems across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Emotional Problems datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Emotional Problems datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Emotional Problems Datasets with Harmony Discovery Dealing with emotional problems is a crucial aspect of social sciences, and the need for high-quality datasets to study this field of research is ever-growing.https://harmonydata.ac.uk/enigma/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/enigma/Case Study: ENIGMA Consortium The ENIGMA Consortium (Enhancing NeuroImaging Genetics through Meta Analysis) is a global research initiative involving over thousand researchers across 43 nations and 50 specialized working groups who focus on brain studies. The Parkinson’s Disease working group (ENIGMA-PD) is currently running a project which investigates brain morphological correlates of neuropsychiatric symptoms in Parkinson’s patients. Julia-Katharina Pfarr (McGill, Montreal) and Eva van Heese (Amsterdam UMC) are working with Harmony and other large language models to harmonise mental health questionnaire items in order to identify common dimensions of different psychiatric constructs.https://harmonydata.ac.uk/fair-data/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/fair-data/What are the FAIR Data Principles? The FAIR principles are a set of guidelines for making data more discoverable, accessible, interoperable, and reusable. The principles are intended to help organizations and individuals maximise the value of their data by making it easier to find, access, and use. The FAIR principles were published in Nature in 2016 to address the difficulties in reproducing scientific research. Funding organisations, publishers, and governmental agencies are increasingly beginning to require data management plans for data generated in research.https://harmonydata.ac.uk/frequently-asked-questions/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/frequently-asked-questions/What is harmonisation? Harmonisation means taking variables from different studies and manipulating them to make them comparable. For example, if we have datasets of depression from different countries, which is typically measured using a questionnaire, how can we harmonise two depression questionnaires? Typically this is a manual process – we would look at the content and find common elements between the questionnaires. For an example of a pre-existing harmonisation tool, please see:https://harmonydata.ac.uk/compare-harmonise-instruments/gad-7-vs-beck-anxiety-inventory/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/compare-harmonise-instruments/gad-7-vs-beck-anxiety-inventory/Harmonising and comparing GAD-7 vs Beck Anxiety Inventory The Generalised Anxiety Disorder Assessment (GAD-7) and the Beck Anxiety Inventory (BAI) are two instruments used to measure anxiety. Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages. You can try Harmony here: https://harmonydata.ac.uk/app. Harmony is also available as a Python and R package. You may also be interested in Harmony Meta, our new discovery engine that helps you search through vast catalogues of study metadata to identify the variables you need for your research.https://harmonydata.ac.uk/compare-harmonise-instruments/gad-7-vs-phq-9/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/compare-harmonise-instruments/gad-7-vs-phq-9/Harmonising and comparing GAD-7 vs PHQ-9 The GAD-7 is a seven-item tool that measures the severity of a person’s anxiety. The PHQ-9 assesses the extent of depression. Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages. You can try Harmony here: https://harmonydata.ac.uk/app. Harmony is also available as a Python and R package. You may also be interested in Harmony Meta, our new discovery engine that helps you search through vast catalogues of study metadata to identify the variables you need for your research.https://harmonydata.ac.uk/compare-harmonise-instruments/gad-7-vs-scared/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/compare-harmonise-instruments/gad-7-vs-scared/GAD-7 vs SCARED (adult): A Comparative Analysis Using Harmony The GAD-7 and SCARED scales are both commonly used psychologists and other researchers to measure anxiety. Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages. You can try Harmony here: https://harmonydata.ac.uk/app. Harmony is also available as a Python and R package. You may also be interested in Harmony Meta, our new discovery engine that helps you search through vast catalogues of study metadata to identify the variables you need for your research.https://harmonydata.ac.uk/discover-data/gambling-behaviour-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/gambling-behaviour-datasets-and-studies/Gambling Behaviour datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Gambling Behaviour across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Gambling Behaviour datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Gambling Behaviour datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Gambling Behaviour datasets with Harmony Discovery Gambling, while a common recreational activity, can sometimes intensify into a compulsive problem, leading to significant negative effects on individuals and society.https://harmonydata.ac.uk/discover-data/gambling-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/gambling-datasets-and-studies/Gambling datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Gambling across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Gambling datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Gambling datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Gambling Datasets with Harmony Discovery In the field of social sciences, the study of gambling is essential to understanding its effects, risks, and societal particulars.https://harmonydata.ac.uk/discover-data/gambling-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/gambling-disorder-datasets-and-studies/Gambling Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Gambling Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Gambling Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Gambling Disorder datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Gambling Disorder Datasets with Harmony Discovery In today’s digital era, vast amounts of data are collected and stored.https://harmonydata.ac.uk/discover-data/gender-dysphoria-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/gender-dysphoria-datasets-and-studies/Gender Dysphoria datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Gender Dysphoria across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Gender Dysphoria datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Gender Dysphoria datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Gender Dysphoria Datasets with Harmony Discovery Research into gender dysphoria – the distress a person feels due to a mismatch between their gender identity and their sex assigned at birth – is growing exponentially, adding to our understanding of the many factors at play.https://harmonydata.ac.uk/gesis/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/gesis/Harmony case study: GESIS using Harmony for the EU-funded project Infra4NextGen Dr. Insa Bechert, Dr. Rabia Karatoprak Ersen, and Nidanur Baştürk at the GESIS - Leibniz Institute for the Social Sciences are using Harmony for the initial phase of identifying similar questions administered across international survey programs. These items constitute a Variable Database which is an entry point to harmonized cross-national survey data on the five NextGenEU youth policy topics: Make it Green; Make it Digital; Make it Healthy; Make it Strong; and Make it Equal as part of the EU-funded project Infra4NextGen.https://harmonydata.ac.uk/open-source-for-social-science/contributing-to-harmony-nlp-project/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/open-source-for-social-science/contributing-to-harmony-nlp-project/Thank you for considering contributing to the Harmony project. This guide consolidates all the resources, tools, and tips you need to start contributing effectively. We value your input, no matter what skill set you have - whether you’re a developer, researcher, or data and AI enthusiast, or even if you’re in an entirely different field. Table of Contents Getting started with Harmony Contributing to Harmony as a user Using Harmony from Python and R libraries How you can help the Harmony project Contributing to Harmony as a developer Where is the source code?https://harmonydata.ac.uk/tracker/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/tracker/Tracking Harmony issues and raising feedback Have you found a problem with Harmony? You can use the links on the Harmony homepage at harmonydata.ac.uk - you can see there are buttons titled Raise NLP issue and Raise UI issue, which take you to the process for logging issues in Github. The issues remain in the issue trackers and can be assigned to people either under “Assignee” or in the comments:https://harmonydata.ac.uk/privacy-policy/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/privacy-policy/​Harmony Privacy Policy ​Our contact details harmonydata.ac.uk (Harmony, the Harmony project) is provided by Ulster University. The Office of the University Secretary is the data controller for harmonydata.ac.uk. A data controller determines how and why personal data is processed. ​What data we collect The personal data we collect from you may include the following: questions, queries or feedback you leave, including your email address if you contact us or sign up to our email alerts your name telephone numbers how you use our emails – for example whether you open them and which links you click on your Internet Protocol (IP) address, and details of which version of web browser you used information on how you use the site, using cookies and page tagging techniques ​Third party cookies We use third party cookies, including Google Analytics, to collect information about how you use harmonydata.https://harmonydata.ac.uk/videos/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/videos/Videos Harmony orientation session 19 Feb 2024 Interested in contributing to an open source project involving psychology and natural language processing? Whether you’re new to Harmony or looking to dive deeper into our projects, this event is for you. Introduction to Harmony Overview of Current Projects How to Get Involved Key points from the video Harmony is free to use under the MIT license and aims to build a community of developers for further development.https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-cross-cohort-research/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-cross-cohort-research/Harmony: A Free AI Tool for Cross-Cohort Research Harmony is a revolutionary software developed specifically for psychologists and social scientists. Its main purpose is to make the item harmonisation process easier and more efficient for researchers. Try Harmony Harmony: A Free AI Tool for Cross-Cohort Research What is harmonisation, you might ask? It refers to the process of matching items from different questionnaires, such as determining if “I often feel anxious” in one questionnaire is equivalent to “Feeling nervous, anxious or afraid” in another questionnaire.https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-data-pooling/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-data-pooling/Harmony: A Free AI Tool for Data Pooling Harmony is a software tool specifically designed for psychologists and social scientists. Its main purpose is to automate the process of questionnaire harmonisation, which is the task of matching similar items from different questionnaires. Try Harmony Harmony: A Free AI Tool for Data Pooling Traditionally, harmonisation has been a time-consuming and subjective task. It involves going through long PDFs of questionnaires and manually inputting the questions into Excel or other software.https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-harmonisation-of-instruments-in-psychology/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-harmonisation-of-instruments-in-psychology/Harmony: A Free AI Tool for Harmonisation Of Instruments In Psychology Harmony is a powerful software developed specifically for psychologists and social scientists. Its main purpose is to help with the process of item harmonisation, which involves matching items from different questionnaires. Try Harmony Harmony: A Free AI Tool for Harmonisation Of Instruments In Psychology The tool utilizes natural language processing (NLP) and generative AI models to assist researchers in harmonising questionnaire items, even if they are in different languages.https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-item-harmonisation/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-item-harmonisation/Harmony: A Free AI Tool for Item Harmonisation Harmony is an innovative software specifically designed for psychologists and social scientists to help with the time-consuming task of harmonising questionnaire items. It utilizes natural language processing and generative AI models to compare items from different questionnaires, even in different languages. Try Harmony Harmony: A Free AI Tool for Item Harmonisation One of the key features of Harmony is its ability to match items from various questionnaires, such as “I often feel anxious” and “Feeling nervous, anxious or afraid.https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-item-wise-harmonisation/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-item-wise-harmonisation/Harmony: A Free AI Tool for Item-Wise Harmonisation Harmony is a software designed specifically for psychologists and social scientists to aid in the harmonisation of questionnaire items. This tool uses natural language processing and AI models to help researchers match items from different questionnaires, even if they are in different languages. This saves researchers a significant amount of time and effort, as the process of harmonisation can be time-consuming and subjective.https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study/Harmony: A Free AI Tool for Longitudinal Studies Harmony is a powerful software designed specifically for psychologists and social scientists. Its main purpose is to assist researchers in harmonising questionnaire items in longitudinal studies, saving time and improving accuracy. Try Harmony Harmony: A Free AI Tool for Longitudinal Study One of the key features of Harmony is its natural language processing and generative AI models, which are used to compare items in different questionnaires.https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-for-longitudinal-study-in-psychology/Harmony: A Free AI Tool for Longitudinal Studies In Psychology Harmony is a software designed specifically for psychologists and social scientists, in order to help them efficiently and accurately harmonise questionnaire items in their studies. This tool utilizes natural language processing and generative AI models to compare instruments in different languages, making it helpful for cross-cultural and longitudinal studies. Try Harmony Harmony: A Free AI Tool for Longitudinal Study In Psychology The process of harmonisation is extremely time consuming and can be quite subjective.https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-to-combine-cohort-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-to-combine-cohort-studies/Harmony: A Free AI Tool to Combine Cohort Studies Harmony is an innovative software that has been specifically designed for psychologists and social scientists to streamline the item harmonisation process. The tool uses natural language processing and generative AI models to compare questionnaire items, even in different languages. Try Harmony Harmony: A Free AI Tool to Combine Cohort Studies One of the main features of Harmony is its ability to match items in different questionnaires, ultimately making the process of harmonisation faster and more accurate.https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-to-merge-cohort-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-to-merge-cohort-studies/Harmony: A Free AI Tool to Merge Cohort Studies Harmony is a software that uses natural language processing and generative AI models to assist psychologists in harmonising questionnaire items. Whether researchers are merging items from different questionnaires or comparing instruments in longitudinal studies, Harmony can efficiently analyse and match items in multiple languages. Try Harmony Harmony: A Free AI Tool to Merge Cohort Studies One of the main challenges for psychologists and social scientists is the time-consuming and subjective process of harmonisation.https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-to-merge-longitudinal-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/item-harmonisation/harmony-a-free-ai-tool-to-merge-longitudinal-studies/Harmony: A Free AI Tool to Merge Longitudinal Studies Harmony is a powerful software tool designed for psychologists and social scientists to help them harmonise questionnaire items in different languages. This AI-driven platform uses natural language processing and generative AI models to make the process of harmonisation easier, faster and more accurate. Try Harmony Harmony: A Free AI Tool to Merge Longitudinal Studies Often, longitudinal studies require the comparison of instrument items, such as in the case of GAD-7 and PHQ-9.https://harmonydata.ac.uk/discover-data/histrionic-personality-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/histrionic-personality-disorder-datasets-and-studies/Histrionic Personality Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Histrionic Personality Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Histrionic Personality Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Histrionic Personality Disorder datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/impairment-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/impairment-datasets-and-studies/Impairment datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Impairment across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Impairment datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Impairment datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Impairment Datasets with Harmony Discovery Harmony Discovery is an innovative tool designed for social science researchers to discover datasets related to specific topics such as Impairment.https://harmonydata.ac.uk/longitudinal-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/longitudinal-studies/Longitudinal Studies Longitudinal studies are invaluable in understanding the intricacies of developmental patterns, the impacts of interventions, and the progression of conditions over time. By repeatedly examining the same individuals, researchers can detect changes and draw conclusions about cause-and-effect relationships. While this type of study is prevalent in medicine, economics, and epidemiology, its application spans across various social and medical sciences. Discovering Longitudinal Studies with Harmony Discovery We are working on an extension to the Harmony tool, called Harmony Discovery, which will allow researchers to discover longitudinal studies via an integration with different data providers.https://harmonydata.ac.uk/longitudinal-studies/anxiety/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/longitudinal-studies/anxiety/Longitudinal Studies on Anxiety Anxiety disorders are a significant public health concern affecting millions of people worldwide. To better understand anxiety and develop effective interventions, researchers often turn to longitudinal studies. These studies offer unique insights by repeatedly examining the same individuals over time, highlighting changes and developments in anxiety-related symptoms and behaviors. The Importance of Longitudinal Studies in Research on Anxiety We are working on an extension to the Harmony tool, called Harmony Discovery, which will allow researchers to discover anxiety longitudinal studies via an integration with different data providers.https://harmonydata.ac.uk/longitudinal-studies/depression/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/longitudinal-studies/depression/Longitudinal Studies on Depression With the world experiencing an unprecedented shift towards an aging population, understanding depression in old age becomes even more crucial. Researchers studying depression face the challenge of tracing the progression of depressive symptoms over time and understanding the interplay of various risk factors. This is where longitudinal studies come into play, offering invaluable insights into the progression, recurrence, and emergence of depression across different life stages, including late life.https://harmonydata.ac.uk/discover-data/mental-illness-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/mental-illness-datasets-and-studies/Mental Illness datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Mental Illness across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Mental Illness datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Mental Illness datasets on Harmony Discovery Beta Preview of Harmony Discovery title: ‘Discover Mental Illness datasets with Harmony Discovery’ author: ‘Your Name’ date: ‘2023-06-17’ With the rising prevalence of mental health disorders, it has never been more crucial to have accessibility to comprehensive datasets for research purposes.https://harmonydata.ac.uk/discover-data/narcissistic-personality-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/narcissistic-personality-disorder-datasets-and-studies/Narcissistic Personality Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Narcissistic Personality Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Narcissistic Personality Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Narcissistic Personality Disorder datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/obsessive-compulsive-disorder-ocd-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/obsessive-compulsive-disorder-ocd-datasets-and-studies/Obsessive Compulsive Disorder (OCD) datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Obsessive Compulsive Disorder (OCD) across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Obsessive Compulsive Disorder (OCD) datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Obsessive Compulsive Disorder (OCD) datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/our-team/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/our-team/https://harmonydata.ac.uk/discover-data/paranoid-personality-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/paranoid-personality-disorder-datasets-and-studies/Paranoid Personality Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Paranoid Personality Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Paranoid Personality Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Paranoid Personality Disorder datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/personality-and-temperament-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/personality-and-temperament-datasets-and-studies/Personality and Temperament datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Personality and Temperament across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Personality and Temperament datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Personality and Temperament datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/personality-disorders-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/personality-disorders-datasets-and-studies/Personality Disorders datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Personality Disorders across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Personality Disorders datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Personality Disorders datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Personality Disorders datasets with Harmony Discovery Harmony Discovery is an invaluable tool in the research space, with a special focus on social sciences.https://harmonydata.ac.uk/compare-harmonise-instruments/phq-9-vs-beck-anxiety-inventory/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/compare-harmonise-instruments/phq-9-vs-beck-anxiety-inventory/Harmonising and comparing PHQ-9 vs Beck Anxiety Inventory The Patient health questionnaire (PHQ-9) is an 9-item instrument for measuring the severity of depression. The Beck Anxiety Inventory (BAI) is a 21-item questionnaire which was developed to measure anxiety in psychiatric populations. Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages. You can try Harmony here: https://harmonydata.ac.uk/app. Harmony is also available as a Python and R package.https://harmonydata.ac.uk/projects-partners/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/projects-partners/https://harmonydata.ac.uk/discover-data/psychological-distress-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/psychological-distress-datasets-and-studies/Psychological Distress datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Psychological Distress across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Psychological Distress datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Psychological Distress datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Psychological Distress Datasets With Harmony Discovery In a world where an era is termed ’the age of anxiety’, exploring topics around psychological distress has never been more important.https://harmonydata.ac.uk/discover-data/psychological-wellbeing-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/psychological-wellbeing-datasets-and-studies/Psychological Wellbeing datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Psychological Wellbeing across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Psychological Wellbeing datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Psychological Wellbeing datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Psychological Wellbeing Datasets Renowned academic researchers, budding scholars or passionate data enthusiasts who are delving into the field of Psychological Wellbeing need reliable and comprehensive datasets to carry out meaningful studies.https://harmonydata.ac.uk/discover-data/psychopathy-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/psychopathy-datasets-and-studies/Psychopathy datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Psychopathy across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Psychopathy datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Psychopathy datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Psychopathy Datasets with Harmony Discovery In the booming field of psychopathy research, finding appropriate datasets is a crucial yet often difficult task.https://harmonydata.ac.uk/discover-data/psychosis-and-schizophrenia-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/psychosis-and-schizophrenia-datasets-and-studies/Psychosis and Schizophrenia datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Psychosis and Schizophrenia across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Psychosis and Schizophrenia datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Psychosis and Schizophrenia datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/ptsd-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/ptsd-datasets-and-studies/PTSD datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about PTSD across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find PTSD datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find PTSD datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover PTSD Datasets with Harmony Discovery Uncovering critical insights about Post Traumatic Stress Disorder (PTSD) and the variation of its impact on individuals over time is crucial for healthcare and social science professionals.https://harmonydata.ac.uk/compare-harmonise-instruments/alcoholism/rapi-vs-assist/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/compare-harmonise-instruments/alcoholism/rapi-vs-assist/RAPI vs ASSIST The ‘Rutgers Alcohol Problem Index’ (RAPI) and the ‘Alcohol, Smoking, and Substance Involvement Screening Test - Substance Use’ (ASSIST) are two integral tools in the field of psychology for assessing addictive behaviours. Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages. You can try Harmony here: https://harmonydata.ac.uk/app. Harmony is also available as a Python and R package.https://harmonydata.ac.uk/discover-data/schizoid-personality-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/schizoid-personality-disorder-datasets-and-studies/Schizoid Personality Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Schizoid Personality Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Schizoid Personality Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Schizoid Personality Disorder datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/schizophrenia-and-psychosis-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/schizophrenia-and-psychosis-datasets-and-studies/Schizophrenia and Psychosis datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Schizophrenia and Psychosis across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Schizophrenia and Psychosis datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Schizophrenia and Psychosis datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/schizotypal-personality-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/schizotypal-personality-disorder-datasets-and-studies/Schizotypal Personality Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Schizotypal Personality Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Schizotypal Personality Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Schizotypal Personality Disorder datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/self-harm-and-suicide-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/self-harm-and-suicide-datasets-and-studies/Self Harm and Suicide datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Self Harm and Suicide across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Self Harm and Suicide datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Self Harm and Suicide datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/smoking-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/smoking-datasets-and-studies/Smoking datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Smoking across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Smoking datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Smoking datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Smoking Datasets with Harmony Discovery A wealth of data for research lies in longitudinal studies.https://harmonydata.ac.uk/discover-data/social-anxiety-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/social-anxiety-disorder-datasets-and-studies/Social Anxiety Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Social Anxiety Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Social Anxiety Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Social Anxiety Disorder datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/social-skills-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/social-skills-datasets-and-studies/Social Skills datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Social Skills across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Social Skills datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Social Skills datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Social Skills Datasets with Harmony Discovery Research in the field of Social Sciences often involves rigorous investigation of complex dynamics that shape human interactions.https://harmonydata.ac.uk/discover-data/somatic-symptom-disorder-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/somatic-symptom-disorder-datasets-and-studies/Somatic Symptom Disorder datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Somatic Symptom Disorder across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Somatic Symptom Disorder datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Somatic Symptom Disorder datasets on Harmony Discovery Beta Preview of Harmony Discoveryhttps://harmonydata.ac.uk/discover-data/substance-use-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/substance-use-datasets-and-studies/Substance Use datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Substance Use across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Substance Use datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Substance Use datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Substance Use Datasets with Harmony Discovery As researchers within the social and medical sciences fields may be aware, gaining access to vast datasets can be a catalyst for leading-edge research.https://harmonydata.ac.uk/discover-data/tobacco-use-datasets-and-studies/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/discover-data/tobacco-use-datasets-and-studies/Tobacco Use datasets and studies The Harmony team is working on Harmony Discovery, which will allow social scientists to find datasets about Tobacco Use across data platforms. Harmony Discovery is due in 2025 and will extend the functionality of Harmony. Find Tobacco Use datasets and longitudinal studies on the Catalogue of Mental Health Measures Try Harmony Discovery Find Tobacco Use datasets on Harmony Discovery Beta Preview of Harmony Discovery Discover Tobacco Use Datasets with Harmony Discovery Exploring the origins, prevalence, and effects of tobacco use has occupied significant effort in the social sciences.https://harmonydata.ac.uk/harmonisation-validation/aim-acceptability-of-intervention-measure-score/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/aim-acceptability-of-intervention-measure-score/Validation and Harmonisation of AIM (Acceptability of Intervention Measure) score The AIM (Acceptability of Intervention Measure) score is a measurement tool used to assess the acceptability of interventions in a research study. It consists of seven items, each rated on a scale of 1 (not at all acceptable) to 5 (extremely acceptable). The items cover aspects such as ease of use, satisfaction with the intervention, and willingness to continue using the intervention.https://harmonydata.ac.uk/harmonisation-validation/alcohol-urges-questionnaire-auq/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/alcohol-urges-questionnaire-auq/Validation and Harmonisation of Alcohol Urges Questionnaire (AUQ) The Alcohol Urges Questionnaire (AUQ) is an 8-item self-administered questionnaire that assesses craving for alcohol among alcohol users in the current context. It provides a score that ranges from 8 (lowest craving value) to 56 (highest craving value). Try Harmony Validation and Harmonisation of Alcohol Urges Questionnaire (AUQ) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/arthritis-impact-measurement-scales-2-aims2/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/arthritis-impact-measurement-scales-2-aims2/Validation and Harmonisation of Arthritis Impact Measurement Scales-2 (AIMS2) The Arthritis Impact Measurement Scales-2 (AIMS2) is a widely used instrument for assessing pain in individuals with arthritis. It consists of five items that assess typical pain, pain severity, and pain during specific times of the day, using a 5-point Likert scale (“all days” to “no days”). The possible range of scores is 0-10, with higher scores indicating more severe pain.https://harmonydata.ac.uk/harmonisation-validation/beck-depression-inventory-ii-bdi-ii/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/beck-depression-inventory-ii-bdi-ii/Validation and Harmonisation of Beck Depression Inventory-II (BDI-II) The Beck Depression Inventory-II (BDI-II) is a widely used self-report instrument designed to measure the severity of depressive symptoms in individuals aged 13 years and above. It is commonly used in both clinical and research settings to assess the presence and severity of depression in individuals. Try Harmony Validation and Harmonisation of Beck Depression Inventory-II (BDI-II) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/berg-balance-scale/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/berg-balance-scale/Validation and Harmonisation of Berg Balance Scale The Berg Balance Scale (BBS) is a clinical measure used to assess balance in older adults, adults with neurological conditions, and other individuals with balance impairments. It consists of 14 tasks that assess different aspects of balance, such as sitting, standing, and walking. Try Harmony Validation and Harmonisation of Berg Balance Scale Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/bristol-stool-scale/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/bristol-stool-scale/Validation and Harmonisation of Bristol Stool Scale The Bristol Stool Scale is a medical tool designed to classify the form of human feces into seven categories or types, ranging from constipation to diarrhea. It is used to assess the health and well-being of individuals and is often used in clinical settings. Try Harmony Validation and Harmonisation of Bristol Stool Scale Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/client-satisfaction-questionnaire-csq/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/client-satisfaction-questionnaire-csq/Validation and Harmonisation of Client Satisfaction Questionnaire (CSQ) The Client Satisfaction Questionnaire (CSQ) is a measure used in psychology and social sciences to assess patient satisfaction with treatment. It consists of 8-10 items and has a scoring range of 8-32. Try Harmony Validation and Harmonisation of Client Satisfaction Questionnaire (CSQ) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/clinical-global-impression-of-change-cgic/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/clinical-global-impression-of-change-cgic/Validation and Harmonisation of Clinical Global Impression of Change (CGIC) The Clinical Global Impression of Change (CGIC) is a tool used in psychiatric research to assess the overall change in a patient’s condition over a specific period of time. It is usually rated on a 7-point scale, ranging from 1 (Very Much Improved) to 7 (Very Much Worse). Try Harmony Validation and Harmonisation of Clinical Global Impression of Change (CGIC) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/clinician-administered-ptsd-scale-caps/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/clinician-administered-ptsd-scale-caps/Validation and Harmonisation of Clinician Administered PTSD Scale (CAPS) The Clinician Administered PTSD Scale (CAPS) is a structured clinical interview used to assess symptoms of Posttraumatic Stress Disorder (PTSD). It consists of 30 items that measure the frequency and intensity of specific PTSD symptoms and has been widely used in research and clinical settings. Try Harmony Validation and Harmonisation of Clinician Administered PTSD Scale (CAPS) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/columbia-suicide-severity-rating-scale-c-ssrs/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/columbia-suicide-severity-rating-scale-c-ssrs/Validation and Harmonisation of Columbia-Suicide Severity Rating Scale (C-SSRS) The Columbia-Suicide Severity Rating Scale (C-SSRS) is a semi-structured interview used to assess the occurrence, severity, and frequency of suicide-related thoughts and behaviors during a specific assessment period. It includes definitions and suggested questions to gather relevant information for determining if a suicide-related thought or behavior has occurred. Try Harmony Validation and Harmonisation of Columbia-Suicide Severity Rating Scale (C-SSRS) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/comprehensive-psychopathological-rating-scale-cprs/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/comprehensive-psychopathological-rating-scale-cprs/Validation and Harmonisation of Comprehensive Psychopathological Rating Scale (CPRS) The Comprehensive Psychopathological Rating Scale (CPRS) is an 18-item interview-based instrument used by psychologists to assess depression and anxiety symptoms. It includes two subscales, the Montgomery-Asberg Depression Rating Scale (MADRS) and the Brief Scale for Anxiety (BSA), each ranging from 0 to 60 in severity. Try Harmony Validation and Harmonisation of Comprehensive Psychopathological Rating Scale (CPRS) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/contact-lens-user-experience-clue/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/contact-lens-user-experience-clue/Validation and Harmonisation of Contact Lens User Experience (CLUE) The Contact Lens User Experience (CLUE) is a validated patient-reported outcomes (PRO) questionnaire used to assess patient-experience attributes of soft contact lenses in a contact-lens wearing population. It measures aspects such as comfort, vision, handling, and packaging to determine the overall user experience. Try Harmony Validation and Harmonisation of Contact Lens User Experience (CLUE) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/dermatology-life-quality-index-dlqi/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/dermatology-life-quality-index-dlqi/Validation and Harmonisation of Dermatology Life Quality Index (DLQI) The Dermatology Life Quality Index (DLQI) is a questionnaire in dermatology research that measures the impact of skin conditions on an individual’s quality of life. Try Harmony Validation and Harmonisation of Dermatology Life Quality Index (DLQI) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages. You can try Harmony here: https://harmonydata.https://harmonydata.ac.uk/harmonisation-validation/epworth-sleepiness-scale/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/epworth-sleepiness-scale/Validation and Harmonisation of Epworth Sleepiness Scale The Epworth Sleepiness Scale (ESS) is a self-report questionnaire used to measure the level of daytime sleepiness in adults. It consists of 8 items, each rated from zero (no chance of dozing) to 3 (high chance of dozing), with a total score range from 0 (best) to 24 (worst). Try Harmony Validation and Harmonisation of Epworth Sleepiness Scale Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/functional-assessment-of-cancer-therapy-general-fact-g-with-fact-head-and-neck-fact-hn-subscale/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/functional-assessment-of-cancer-therapy-general-fact-g-with-fact-head-and-neck-fact-hn-subscale/Validation and Harmonisation of Functional Assessment of Cancer Therapy-General (FACT-G) with FACT-Head and Neck (FACT-HN) subscale The Functional Assessment of Cancer Therapy-General (FACT-G) is a widely used instrument for assessing quality of life (QOL) and functional status in cancer patients. It consists of 27 questions that assess four subscales: physical well-being, social well-being, emotional well-being, and functional well-being. Try Harmony Validation and Harmonisation of Functional Assessment of Cancer Therapy-General (FACT-G) with FACT-Head and Neck (FACT-HN) subscale Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/hamilton-depression-rating-scale/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/hamilton-depression-rating-scale/Validation and Harmonisation of Hamilton depression rating scale The Hamilton depression rating scale (HDRS) is a widely used and validated instrument for assessing the severity of depression in clinical and research settings. It consists of 17 items, each rated on a scale of 0 to 4, with a total possible score ranging from 0 (no depression) to 52 (severe depression). The items cover a range of symptoms and behaviours related to depression, such as depressed mood, guilt, insomnia, and psychomotor agitation.https://harmonydata.ac.uk/harmonisation-validation/hospital-anxiety-and-depression-scale-hads/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/hospital-anxiety-and-depression-scale-hads/Validation and Harmonisation of Hospital Anxiety and Depression Scale (HADS) The Hospital Anxiety and Depression Scale (HADS) is a widely used self-report tool that measures symptoms of anxiety and depression in clinical and non-clinical populations. Try Harmony Validation and Harmonisation of Hospital Anxiety and Depression Scale (HADS) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages. You can try Harmony here: https://harmonydata.https://harmonydata.ac.uk/harmonisation-validation/insomnia-severity-index-isi/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/insomnia-severity-index-isi/Validation and Harmonisation of Insomnia Severity Index (ISI) The Insomnia Severity Index (ISI) is a self-report questionnaire used to measure the severity of insomnia symptoms in individuals. It consists of seven items that assess different aspects of insomnia, such as sleep onset, sleep maintenance, early morning awakening, and interference with daily functioning. Try Harmony Validation and Harmonisation of Insomnia Severity Index (ISI) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/Validation and Harmonisation of psychological instruments Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages. You can try Harmony here: https://harmonydata.ac.uk/app. Harmony is also available as a Python and R package. You may also be interested in Harmony Meta, our new discovery engine that helps you search through vast catalogues of study metadata to identify the variables you need for your research.https://harmonydata.ac.uk/harmonisation-validation/loe-silness-gingival-index/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/loe-silness-gingival-index/Validation and Harmonisation of Loe & Silness Gingival Index The Loe & Silness Gingival Index is a scale used to measure gum (gingival) inflammation. It is used to assess the severity of gingival inflammation in individuals and is scored on a scale of 0 to 3, with 0 indicating no inflammation and 3 indicating severe inflammation. Try Harmony Validation and Harmonisation of Loe & Silness Gingival Index Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/medical-outcomes-survey-sleep-quality-subscale/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/medical-outcomes-survey-sleep-quality-subscale/Validation and Harmonisation of Medical Outcomes Survey Sleep Quality Subscale The Medical Outcomes Survey Sleep Quality Subscale (MOS-SQS) is a standardized instrument used to assess the quality of sleep in patients. It is a 0-10 numeric rating scale, with 0 representing poor sleep quality and 10 representing a restful night of sleep. Try Harmony Validation and Harmonisation of Medical Outcomes Survey Sleep Quality Subscale Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/montgomery-asberg-depression-rating-scale/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/montgomery-asberg-depression-rating-scale/Validation and Harmonisation of Montgomery Asberg Depression Rating Scale The Montgomery Asberg Depression Rating Scale (MADRS) is a commonly used tool in the assessment and severity rating of depression. It consists of 10 items that cover the core symptoms of depression, including mood, sleep, appetite, and energy levels. Each item is rated on a 7-point scale, with higher scores indicating more severe depressive symptoms. Try Harmony Validation and Harmonisation of Montgomery Asberg Depression Rating Scale Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/montgomery-asberg-depression-rating-scale-madrs/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/montgomery-asberg-depression-rating-scale-madrs/Validation and Harmonisation of Montgomery Asberg Depression Rating Scale (MADRS) The Montgomery Asberg Depression Rating Scale (MADRS) is a 10-item diagnostic questionnaire used by psychiatrists to measure the severity of depressive episodes in patients with mood disorders. It is a commonly used instrument for assessing depression symptoms and has been validated and widely used in clinical trials and research studies. Try Harmony Validation and Harmonisation of Montgomery Asberg Depression Rating Scale (MADRS) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/nasa-tlx-task-load-index/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/nasa-tlx-task-load-index/Validation and Harmonisation of NASA TLX Survey Index Scores (NASA Task Load Index) The NASA TLX (National Aeronautics and Space Administration Task Load Index) is a survey that measures an individual’s perceived task load in various workload dimensions, including mental, physical, and temporal demands, effort, and frustration level. It is often used in research and industry settings, such as in evaluating the workload of pilots and healthcare professionals. Import NASA Task Load Index into Harmony - compare NASA Task Load Index with other instruments Questions in the NASA Task Load Index (NASA-TLX) No.https://harmonydata.ac.uk/harmonisation-validation/numeric-pain-rating-scale-nprs/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/numeric-pain-rating-scale-nprs/Validation and Harmonisation of Numeric Pain Rating Scale (NPRS) The Numeric Pain Rating Scale (NPRS) is a commonly used instrument in the field of pain assessment. It is a 0-10 scale, with 0 representing no pain and 10 representing the worst imaginable pain. It is a self-report measure and is typically used to assess pain intensity. Try Harmony Validation and Harmonisation of Numeric Pain Rating Scale (NPRS) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/oswestry-disability-index-odi/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/oswestry-disability-index-odi/Validation and Harmonisation of Oswestry Disability Index (ODI) The Oswestry Disability Index (ODI) is a widely used questionnaire for measuring the change in pain and function after spine fusion surgery. It consists of 10 questions related to different daily activities and their level of difficulty due to back or leg pain. The scores range from 0 to 100, with higher scores indicating worse outcomes. Try Harmony Validation and Harmonisation of Oswestry Disability Index (ODI) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/overall-health-related-quality-of-life-sf-36/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/overall-health-related-quality-of-life-sf-36/Validation and Harmonisation of Overall Health-related Quality of Life (SF-36) The Overall Health-related Quality of Life (SF-36) is a self-reported questionnaire commonly used to measure overall health status in research and healthcare settings. It consists of eight scaled scores, each measuring a different aspect of physical and mental health. Researchers often use this instrument to assess changes in health status over time or compare it with other similar instruments. Try Harmony Validation and Harmonisation of Overall Health-related Quality of Life (SF-36) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/patient-global-impression-of-change-pgic/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/patient-global-impression-of-change-pgic/Validation and Harmonisation of Patient Global Impression of Change (PGIC) The Patient Global Impression of Change (PGIC) is a participant-rated instrument used to measure the overall change in a participant’s status over the course of a study. It is often used in clinical trials and longitudinal studies to assess the effectiveness of treatments, interventions, or changes in social conditions. Try Harmony Validation and Harmonisation of Patient Global Impression of Change (PGIC) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/patient-health-questionnaire-9-phq-9/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/patient-health-questionnaire-9-phq-9/Validation and Harmonisation of Patient Health Questionnaire-9 (PHQ-9) The Patient Health Questionnaire-9 (PHQ-9) is a self-report questionnaire used to measure the severity of depression symptoms. It consists of 9 items, each corresponding to one of the DSM-IV diagnostic criteria for major depressive disorder. The possible range of scores for the PHQ-9 is 0-27, with higher values indicating more severe depression symptoms. Try Harmony Validation and Harmonisation of Patient Health Questionnaire-9 (PHQ-9) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/patient-reported-outcome-measure-information-system-promis-anxiety-subscale/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/patient-reported-outcome-measure-information-system-promis-anxiety-subscale/Validation and Harmonisation of Patient-reported Outcome Measure Information System (PROMIS) Anxiety subscale The Patient-reported Outcome Measure Information System (PROMIS) Anxiety subscale is a commonly used measure of anxiety symptoms in research and clinical settings. It consists of four items that assess different aspects of anxiety, such as worry, fear, and trouble relaxing. Try Harmony Validation and Harmonisation of Patient-reported Outcome Measure Information System (PROMIS) Anxiety subscale Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/pedsql-multidimensional-fatigue-scale/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/pedsql-multidimensional-fatigue-scale/Validation and Harmonisation of PedsQL Multidimensional Fatigue Scale The PedsQL Multidimensional Fatigue Scale is a questionnaire used to measure fatigue in children. It consists of three subscales: general fatigue, cognitive fatigue, and sleep-rest fatigue. Try Harmony Validation and Harmonisation of PedsQL Multidimensional Fatigue Scale Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages. You can try Harmony here: https://harmonydata.https://harmonydata.ac.uk/harmonisation-validation/penn-alcohol-craving-scale-pacs/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/penn-alcohol-craving-scale-pacs/Validation and Harmonisation of Penn Alcohol Craving Scale (PACS) The Penn Alcohol Craving Scale (PACS) is a five-item self-administered instrument used to measure alcohol craving over the past week. It has a scoring range from 0 (lowest craving value) to 30 (highest craving value). The PACS is widely used by psychologists and researchers to assess alcohol craving in individuals and its effectiveness in treatment. Try Harmony Validation and Harmonisation of Penn Alcohol Craving Scale (PACS) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/perceived-stress-scale-pss/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/perceived-stress-scale-pss/Validation and Harmonisation of Perceived Stress Scale (PSS) The Perceived Stress Scale (PSS) is a commonly used instrument in psychology to measure the degree of stress in a person’s life. It consists of 10 items designed to evaluate the levels of stress in three areas: overload, unpredictability, and lack of control. Try Harmony Validation and Harmonisation of Perceived Stress Scale (PSS) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/physical-activity-scale-for-the-elderly-pase/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/physical-activity-scale-for-the-elderly-pase/Validation and Harmonisation of Physical Activity Scale for the Elderly (PASE) The Physical Activity Scale for the Elderly (PASE) is a widely used self-reported instrument for measuring physical activity in older adults. It is designed to assess a range of activities that older adults may engage in, such as leisure, household, or work-related activities. The PASE has been shown to have good reliability and validity in measuring physical activity in older adults, making it a valuable tool in research studies.https://harmonydata.ac.uk/harmonisation-validation/pittsburgh-sleep-quality-index/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/pittsburgh-sleep-quality-index/Validation and Harmonisation of Pittsburgh Sleep Quality Index The Pittsburgh Sleep Quality Index (PSQI) is a widely used questionnaire measure that assesses sleep quality in adults. It consists of 19 individual items, which are used to generate seven component scores: subjective sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbances, use of sleep medications, and daytime dysfunction. A global score can also be calculated by summing the individual component scores, with a higher score indicating poorer sleep quality.https://harmonydata.ac.uk/harmonisation-validation/pittsburgh-sleep-quality-index-psqi/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/pittsburgh-sleep-quality-index-psqi/Validation and Harmonisation of Pittsburgh Sleep Quality Index (PSQI) The Pittsburgh Sleep Quality Index (PSQI) is a self-rated questionnaire that is widely used by researchers to measure overall sleep quality. It consists of 19 questions that assess different aspects of sleep, such as bedtime, sleep duration, sleep disturbances, and daytime dysfunction. The scores from these questions are then combined to yield a global score, which ranges from 0-21, with higher scores indicating poorer sleep quality.https://harmonydata.ac.uk/harmonisation-validation/promis-depression-subscale/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/promis-depression-subscale/Validation and Harmonisation of PROMIS depression subscale The Patient-Reported Outcomes Measurement Information System (PROMIS) is a set of questionnaires designed to assess various aspects of a person’s physical, mental, and social health. The PROMIS depression subscale specifically measures the severity of depressive symptoms in individuals. Try Harmony Validation and Harmonisation of PROMIS depression subscale Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/promis-29-v2-0-questionnaire/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/promis-29-v2-0-questionnaire/Validation and Harmonisation of PROMIS-29 v2.0 questionnaire The Patient-Reported Outcomes Measurement Information System (PROMIS) is a set of measures that assess various health domains such as physical, mental, and social health. The PROMIS-29 v2.0 questionnaire is a widely used instrument that measures patient-reported outcomes for adults in multiple domains. Try Harmony Validation and Harmonisation of PROMIS-29 v2.0 questionnaire Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/quality-of-life-qol-eortc-qlq-c30/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/quality-of-life-qol-eortc-qlq-c30/Validation and Harmonisation of Quality of Life (QoL) EORTC QLQ-C30 The Quality of Life (QoL) EORTC QLQ-C30 is a commonly used questionnaire designed to assess the quality of life of cancer patients. It contains 30 items that cover aspects such as physical, emotional, and social functioning, as well as symptoms and overall quality of life. Try Harmony Validation and Harmonisation of Quality of Life (QoL) EORTC QLQ-C30 Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/quickley-hein-plaque-index-pi/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/quickley-hein-plaque-index-pi/Validation and Harmonisation of Quickley-Hein plaque index (PI) The Quickley-Hein plaque index (PI) is a tool used by dentists to measure the amount of plaque on a patient’s teeth. It is determined by visually inspecting the buccal and lingual surfaces of each tooth and scoring them on a scale from 0 to 5, with higher scores indicating a greater amount of plaque. Try Harmony Validation and Harmonisation of Quickley-Hein plaque index (PI) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/quigley-hein-turesky-modification-index-for-dental-plaque/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/quigley-hein-turesky-modification-index-for-dental-plaque/Validation and Harmonisation of Quigley-Hein, Turesky Modification Index for Dental Plaque The Quigley-Hein, Turesky Modification Index for Dental Plaque is a standardized measurement tool used to assess the amount of dental plaque, a bacterial biofilm that can cause tooth decay and gum disease, on a person’s teeth. The scale ranges from 0 to 5, with 0 representing no plaque and 5 representing extensive plaque coverage on the tooth surface. Try Harmony Validation and Harmonisation of Quigley-Hein, Turesky Modification Index for Dental Plaque Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/sf-36-health-survey/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/sf-36-health-survey/Validation and Harmonisation of SF-36 health survey The SF-36 health survey is a widely used questionnaire to measure an individual’s overall health and well-being. It consists of eight subscales, including physical functioning, role limitations due to physical health problems, bodily pain, general health perceptions, vitality (energy/fatigue), social functioning, role limitations due to emotional problems, and mental health. Try Harmony Validation and Harmonisation of SF-36 health survey Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/sheehan-disability-scale-sds/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/sheehan-disability-scale-sds/Validation and Harmonisation of Sheehan Disability Scale (SDS) The Sheehan Disability Scale (SDS) is a commonly used instrument in clinical trials and research studies to measure functional impairment and disability in individuals. It consists of 5 items that assess disability in work, social life/leisure, and family life/home responsibilities, with higher scores indicating greater impairment. Try Harmony Validation and Harmonisation of Sheehan Disability Scale (SDS) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/sirs-scale-systemic-inflammatory-response-syndrome/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/sirs-scale-systemic-inflammatory-response-syndrome/Validation and Harmonisation of SIRS scale (Systemic Inflammatory Response Syndrome) The SIRS scale is a clinical tool used to assess the severity of systemic inflammatory response syndrome, which can occur in response to infections, injuries, and other conditions. It includes seven signs and symptoms, which are rated on a scale from 0 to 6 based on severity. Try Harmony Validation and Harmonisation of SIRS scale (Systemic Inflammatory Response Syndrome) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/visual-analog-scale-vas/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/visual-analog-scale-vas/Validation and Harmonisation of Visual Analog Scale (VAS) The Visual Analog Scale (VAS) is a subjective measurement instrument commonly used in research and clinical settings to assess a person’s perception of a specific construct, such as pain, anxiety, or mood. It is a horizontal line with endpoints labeled as 0 (representing no experience of the construct) and 10 (representing the worst possible experience of the construct). The participant is asked to place a mark on the line to indicate their experience on a continuum between the two endpoints.https://harmonydata.ac.uk/harmonisation-validation/walking-impairment-questionaire-wiq/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/walking-impairment-questionaire-wiq/Validation and Harmonisation of Walking Impairment Questionaire (WIQ) The Walking Impairment Questionnaire (WIQ) is a disease-specific instrument used to assess walking ability through a questionnaire. It is often used as an alternative to treadmill testing and is commonly used in studies involving patients with Peripheral Artery Disease (PAD) and/or intermittent claudication. Try Harmony Validation and Harmonisation of Walking Impairment Questionaire (WIQ) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/harmonisation-validation/young-mania-rating-scale-ymrs/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/harmonisation-validation/young-mania-rating-scale-ymrs/Validation and Harmonisation of Young Mania Rating Scale (YMRS) The Young Mania Rating Scale (YMRS) is a tool used to assess manic symptoms in patients. It has 11 items and scores range from 0 to 60, with higher scores indicating more severe mania. The scale is based on the patient’s subjective report of their clinical condition over the previous 48 hours. Try Harmony Validation and Harmonisation of Young Mania Rating Scale (YMRS) Harmony is an AI tool which uses Large Language Models to automatically match items from different questionnaires, even across different languages.https://harmonydata.ac.uk/welcome/Mon, 01 Jan 0001 00:00:00 +0000https://harmonydata.ac.uk/welcome/