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. This means that you can now use wildcards, logical operators, parentheses, and negation to create precise and complex searches. You can also search by data field (instrument, question, or topic), and select matches by clicking them to build up a list of selected matches from multiple different queries.
Data fields do not need to be specified and by default all are searched.
Complete cosine similarity matrix: The complete cosine similarity matrix for the model is now provided on a second sheet in every exported Excel file. This can be useful for researchers who want to perform more advanced analyses of their data.
Integration to the Catalogue of Mental Health Measures: The integration to the MHC is now shown as a separate card at the top of the results list. This card shows topics for the entire results model, rather than individually for each match.
Rating popup: We have added a 5-star rating popup to Harmony. This allows you to rate your experience with the tool and provide feedback to help us improve it.
Bug fixes:
We hope that you enjoy using the new features and bug fixes in Harmony. Please let us know if you have any feedback or questions.
The update to Harmony is now available to all users. To try it, simply visit https://harmonydata.ac.uk/app.
Thank you for using Harmony!
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.
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.
