Harmony News
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.
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.
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. 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.
Harmony update: new features and bug fixes We are pleased to announce the release of a new update to Harmony, our online platform for harmonising questions. 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 notebook shows how you can use Harmony to find the similarity matrix between two questionnaires: the CBCL and GOASSESS. The Harmony project is a 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.
We are excited to announce that Harmony, a 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.
