Making experimental data tables in the life sciences more FAIR: a pragmatic approach

Making data compliant with the FAIR Data principles (Findable, Accessible, Interoperable, Reusable) is still a challenge for many researchers, who are not sure which criteria should be met first and how. Illustrated from experimental data tables associated with a Design of Experiments, we propose an approach that can serve as a model for a research data management that allows researchers to disseminate their data by satisfying the main FAIR criteria without insurmountable efforts. More importantly, this approach aims to facilitate the FAIRification process by providing researchers with tools to improve their data management practices.Centre français de phénomique végétaleDéveloppement d'une infrastructure française distribuée pour la métabolomique dédiée à l'innovationParticipation française au GO FAIR Food Systems Implementation NetworkModélisation intégrative du fruit pour un système de sélection unifiéEOSC-Life - Providing an open collaborative space for digital biology in Europ