Harmony: a web-tool for retrospective, multilingual harmonisation of questionnaire items using natural language processing

Bettina Moltrecht, Thomas Andrew Wood, Mauricio Scopel Hoffmann and Eoin McElroy
Additional contact information
Thomas Andrew Wood: fastdatascience.com
Mauricio Scopel Hoffmann: Universidade Federal de Santa Maria
Eoin McElroy: University of Leicester

No 9bmf3, OSF Preprints from Center for Open Science

Abstract: Motivation Retrospective questionnaire harmonisation allows researchers to pool and analyse information from multiple data sources, thereby increasing reproducibility in science. Currently, harmonisation of questionnaires relies on a multi-step process where items are manually matched based on expert opinion. Harmony, a new natural-language processing tool supports researchers with fast, reproducible and multilingual measurement harmonisation. Implementation Harmony is a web tool which can be used from any major web-browser by non-technical users. General features Users can upload questionnaire meta-data in text, PDF or excel format. Once uploaded, Harmony extracts the relevant information from the files and presents them to the user. Users choose which items they would like to match. Harmony will use the cosine similarity to find the closest matches between items and present the findings including a percentage match-score. Availability Harmony is open-source (//github.com/harmonydata/harmony) and freely available via //app.harmonydata.org/ under the MIT licence for non-commercial use.

Date: 2023-04-24
New Economics Papers: this item is included in nep-big
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Persistent link: https://EconPapers.repec.org/RePEc:osf:osfxxx:9bmf3

DOI: 10.31219/osf.io/9bmf3

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