GSS EU Science Funding Gateway

To produce high quality research data, researchers have to follow good data management and data stewardship practices. To maximise the value of science, research data should be FAIR: Findable, Accessible, Interoperable and Reusable. Proposals should support international cooperation on the FAIRness of both data & digital objects in a discipline-specific manner. Applicants should map current initiatives and best practices, globally, within a given scientific discipline, and should facilitate the exchange of best practices across disciplines. They should support case studies and pilots to implement both domain-specific and domain-independent recommendations in FAIR practice (from the Research Data Alliance –RDA-, the Committee on Data of the International Science Council -CODATA-, etc.). They should develop, pilot and possibly deploy interoperability standards and guidelines for increasing FAIRness in specific scientific disciplines, and across different disciplines. They should also develop assessment and evaluation methodologies to appraise FAIRness within disciplines and to develop domain-specific benchmarks. Proposals are expected to cooperate and align with activities of the European Open Science Cloud (EOSC) Partnership and to coordinate with relevant initiatives and projects contributing to the development of EOSC.