[en] FAIR data is considered good data. However, it can be difficult to quantify data FAIRness objectively, without appropriate tooling. To address this issue, FAIR metrics were developed in the early days of the FAIR era. However, to be truly informative, these metrics must be carefully interpreted in the context of a specific domain, and sometimes even of a project. Here, we share our experience with FAIR assessments and FAIRification processes in the biomedical domain. We aim to raise the awareness that “being FAIR” is not an easy goal, neither the principles are easily implemented. FAIR goes far beyond technical implementations: it requires time, expertise, communication and a shift in mindset.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Waltemath, Dagmar
Inau, Esther
Michaelis, Lea
SATAGOPAM, Venkata ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core
BALAUR, Irina-Afrodita ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB) > Bioinformatics Core
External co-authors :
yes
Language :
English
Title :
Experiences From FAIRifying Community Data and FAIR Infrastructure in Biomedical Research Domains
Publication date :
07 September 2023
Event name :
1st Conference on Research Data Infrastructure (CoRDI) - Connecting Communities
Event organizer :
Editors York Sure-Vetter, Nationale Forschungsdateninfrastruktur (NFDI) e.V. & Karlsruhe Institute of Technology (KIT) Carole Goble, Information Management, University of Manchester
Event place :
Karlsruhe, Germany
Event date :
12 – 14 September 2023
By request :
Yes
Audience :
International
Journal title :
Proceedings of the Conference on Research Data Infrastructure
ISSN :
2941-296X
Publisher :
TIB Open Publishing
Special issue title :
The Proceedings of the CoRDI are financially supported by the Federal Ministry of Education and Research
