08 Jul 2020

Formulating guidelines for data and infrastructure service providers is key to the realisation of a data ecosystem in which findable, accessible, interoperable, and reusable (FAIR) research data can be easily shared and optimally reused, driving down inefficiencies in the current academic system and enabling new forms of data-driven discovery.

The article entitled "Recommendations for Services in a FAIR Data Ecosystem", just published in the journal Patterns and authored by representatives from FAIRsFAIR, FREYA, OpenAIRE, EOSC-hub, and RDA Europe, puts forward key recommendations resulting from an extensive community consultation process which gathered and prioritised feedback on the challenges and priorities for services to support FAIR data.

Ranked in order of their perceived urgency, the recommendations propose how data infrastructures and related stakeholders can align 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). Funding criteria, support for domain-specific ontologies, FAIR-aligned certification, and the establishment of stewardship programs providing simple and intuitive training for researchers are some of the recommendations.

Continue to the article here

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