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Recommendations for Services in a FAIR data ecosystem - Report by FAIRsFAIR, RDA Europe, OpenAIRE, EOSC-hub, FREYA

This report highlights common challenges and priorities, and proposes a set of initial recommendations on how existing data infrastructures can evolve and collaborate to provide services that support the implementation of the FAIR data principles, in particular in the context of building the European Open Science Cloud (EOSC).

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This report presents the outcome of an active process of community consultation - most notably in the form of three workshops held in 2019 - to gather, discuss and analyse recommendations for data services and research infrastructures to support the implementation of the FAIR principles. Coming from a broad range of participants, representing several stakeholder groups, these recommendations provide valuable insights into what the participants perceive to be the greatest impediments, challenges, and opportunities for services to support FAIR data. These insights give further direction and impetus to the development of a FAIR data ecosystem as envisioned in the Turning FAIR into reality​ report, in particular in the context of building the European Open Science Cloud. To deliver tangible and actionable results, with a view of facilitating adoption, the recommendations gathered in the initial two workshops were prioritised and associated with actions and suggested action owners in the third and final workshop. Here it should be clarified that ‘priority’ is meant as a statement of timeliness more than overall value; in other words, participants were explicitly asked to indicate what should be done the most urgently rather than what should be done versus not done. The report offers a concise summary of the recommendations as well as the relative priority assigned by different stakeholder groups and a panel of experts. The results presented here are naturally a snapshot in time and, as such, represent work in progress. It has proven to be oftentimes challenging to associate more high-level recommendations with pointed, concrete actions and well-defined owners. This workshop series has endeavoured to do that and, while it is hoped that the results presented here will help direct the discussion and spur action, it will no doubt be part of a longer journey with further iterations on the formulation of these recommendations, priorities and actions. Publication date: December 19, 2019 DOI:


FAIR data, Research data, Research Data Management, Research infrastructures