Journal
GIGASCIENCE
Volume 9, Issue 12, Pages -Publisher
OXFORD UNIV PRESS
DOI: 10.1093/gigascience/giaa144
Keywords
research data management; FAIR Data principles; FAIR assessment; experimental data tables
Categories
Funding
- PHENOME-EMPHASIS project - French National Research Agency [ANR-11-INBS-0012]
- FRIMOUSS project - French National Research Agency [ANR-15-CE20-0009-01]
- EPPN2020 project (H2020 grant) [731013]
- EOSC-Life European program [824087]
- FooSIN project - French National Research Agency [ANR-19-DATA-0019-01]
- French National Research Institute for Agriculture, Food and the Environment (INRAE)
- Eranet Erasysbio+ FRIM project - French National Research Agency [ANR-09-SYSB-003]
- MetaboHUB project - French National Research Agency [ANR-11-INBS-0010]
- Agence Nationale de la Recherche (ANR) [ANR-15-CE20-0009] Funding Source: Agence Nationale de la Recherche (ANR)
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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 with experimental data tables associated with a Design of Experiments, we propose an approach that can serve as a model for 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 FAIR compliance process by providing researchers with tools to improve their data management practices.
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