A journey to evaluating and improving the FAIRness of data ontologies

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Authors: Laurence Horton, Emna Amdouni, Agnes Jasinska, Lionel Scremin
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Abstract

FAIRness Assessment Challenge. During the 3-month challenge participants took part in three virtual workshops to self-assess and incrementally improve the FAIRness of their selected outputs. During the support action, participants benefited from interacting with a group of mentors representing the various FAIRness assessment tools and methods. A team from IRT SystemX in France used FOOPS! to assess the FAIRness of their semantic artefacts, with the goal of further improving the FAIRness of their data holdings.

Fields of Study & Subjects

Research Data Management Practices Semantic Web and Ontologies Scientific Computing and Data Management

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
30 January 2026
Language
EN