The EOSC Future Project and RDA Announces New Calls for Funding | RDA

“The EOSC Future Project is developing an environment to deliver professional data services, open research products and infrastructure that will support European researchers in managing the data lifecycle. To enable early adoption of the EOSC environment, RDA and EOSC have issued the following open calls targeting scientific communities, technical experts and early career researchers, backed by a grant funded by EOSC Future with the aim of enabling bottom-up engagement of the RDA community in EOSC: …”

Recommendations on FAIR metrics for EOSC – Publications Office of the EU

Abstract:  The Recommendations on FAIR Metrics for EOSC document contains an analysis of activities relevant to the definition of FAIR Metrics in the EOSC context. It makes recommendations on the definition and implementation of metrics, proposes a set of metrics for FAIR data in EOSC to be extensively tested, offers an analysis of gaps and potential opportunities for extension, and defines priorities for future work. The report analyses recent and on-going activities relevant to the definition of FAIR metrics for data and other research objects at the European and international levels, in particular in the FAIRsFAIR project and RDA. It also discusses the maintenance of Turning FAIR into reality Recommendations and Action Plan and of the FAIR guiding principles themselves. It then offers seven recommendations on the definition and implementation of FAIR metrics.


Data policy standardisation and implementation IG | RDA

“Increasing the availability of research data for reuse is in part being driven by research data policies and the number of funders and journals and institutions with some form of research data policy is growing. The research data policy landscape of funders, institutions and publishers is however too complex (Ref: and the implementation and implications of policies for researchers can be unclear.  While around half of researchers share data, their primary motivations are often to carry out and publish good research, and to receive renewed funding, rather than making data available. Data policies that support publication of research need to be practical and seen in this context to be effective beyond specialist data communities and publications….”