Unravelling research jargon for the public

ObjectivesBeing open and transparent with the public around research with data is a real challenge, especially given the language typically used. Our aim was to provide an easy tool for both administrators to update, and intuitive for the general public to use. MethodThe web-based tool that was developed needed to provide answers quickly and easily. To address this issue, members of the public were consulted to compile a list of research terms that needed breaking down. The terms were then categorised into subject areas and given additional taxonomies to allow users to drill-down and filter the terms. Text-based search functionality was added to broadly cover the Term Names and their Definitions. Another function was created to allow users to submit their own words or terms to the tool’s administrators. ResultsThe resulting interactive glossary was very effective in quickly helping members of the public understand unfamiliar terms and demystify aspects of data research. Allowing the public to submit any terms they couldn’t find allowed for continuous feedback and for administrators to keep the tool fresh with new and relevant content. ConclusionThis approach could easily be adapted for any research area, and enhance public buy-in. Constant communication with the public was key to really maximising the tool’s utility.

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Publication Details

Journal
International Journal for Population Data Science
Published
2025-08-28
DOI
https://doi.org/10.23889/ijpds.v10i4.3314
Primary Topic
Health and Medical Research Impacts
Type
article
Field-Weighted Citation Impact
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article

Unravelling research jargon for the public

Michael Bale, Matthew John, Nicola Maclean
International Journal for Population Data Science
Health and Medical Research Impacts
article

Unravelling research jargon for the public

Michael Bale, Matthew John, Nicola Maclean
article en

Abstract

ObjectivesBeing open and transparent with the public around research with data is a real challenge, especially given the language typically used. Our aim was to provide an easy tool for both administrators to update, and intuitive for the general public to use. MethodThe web-based tool that was developed needed to provide answers quickly and easily. To address this issue, members of the public were consulted to compile a list of research terms that needed breaking down. The terms were then categorised into subject areas and given additional taxonomies to allow users to drill-down and filter the terms. Text-based search functionality was added to broadly cover the Term Names and their Definitions. Another function was created to allow users to submit their own words or terms to the tool’s administrators. ResultsThe resulting interactive glossary was very effective in quickly helping members of the public understand unfamiliar terms and demystify aspects of data research. Allowing the public to submit any terms they couldn’t find allowed for continuous feedback and for administrators to keep the tool fresh with new and relevant content. ConclusionThis approach could easily be adapted for any research area, and enhance public buy-in. Constant communication with the public was key to really maximising the tool’s utility.

International Journal for Population Data ScienceVol. 10(4)
Swansea University (GB)
Openalex Percentile: Top 69%
Health and Medical Research Impacts
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Unravelling research jargon for the public — Michael Bale, Matthew John, et al. · International Journal for Population Data Science (2025) | TGRS Research Map | TGRS