  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.
