FAIR Data: principles, implementation, implications

Abstract

The presentation provides an overview on the area of Open Research Data as a key part of Open Science implementation in which CODATA plays a very relevant role. The history of the policy push towards Open Data is explored in parallel with the gradual arising of the discourse on Open Science. The rationale behind the FAIR Data principles for findability, accessibility, interoperability and reusability and the challenges posed specially by the two last ones are described. Since these FAIR Data principles lie at the core of initiatives like the European Open Science Cloud, a roadmap is suggested for their implementation including -- among others -- areas like defining indicators for measuring progress on each of the four features, clarifying the boundaries of openness, investing in sustainable data infrastructure or addressing the skills needs for data scientists and researchers.