REMEDi4ALL - Standard Operating Guideline - Fair Data Assessment

FAIR data assessment for experimental data is an essential process that ensures data is managed in accordance with the FAIR (Findability, Accessibility, Interoperability, and Reusability) principles. By adhering to these principles, researchers can significantly enhance the transparency, efficiency, and impact of their work beyond the project. Ultimately, a FAIR compliant data resource not only promotes collaboration and innovation but also ensures compliance with institutional and funding agency requirements, ultimately advancing the scientific community's collective knowledge.
This SOP describes a potential approach to evaluate the FAIRness level of the datasets and proposes opportunities for data dissemination into public repositories.