project . 2019 - 2022 . Closed

FAIRsFAIR

Fostering FAIR Data Practices in Europe
Open Access mandate for Publications and Research data   European Commission  
Funder: European CommissionProject code: 831558 Call for proposal: H2020-INFRAEOSC-2018-4
Funded under: H2020 | CSA Overall Budget: 9,998,850 EURFunder Contribution: 9,998,850 EUR
Status: Closed
01 Mar 2019 (Started) 28 Feb 2022 (Ended)
Description
Now the H2020 EOSC pilot project has taken the first steps towards creating the blueprint for an open European Science Cloud, this proposal aims to supply practical solutions for the use of the FAIR data principles throughout the research data life cycle. Emphasis is on fostering FAIR data culture and the uptake of good practices in making data FAIR. Keeping in mind that there is no ‘one size fits all’, the consortium will focus on all scientific communities for supporting, creating, further developing and implementing a common scheme to ensure data development, wide uptake of and compliance with FAIR data principles and practices by data producers as well as national and European research data providers and repositories contributing to the EOSC. Furthermore, the consortium will closely collaborate with other relevant (global) projects and initiatives already on the way e.g. GO-FAIR, Research Data Alliance (RDA), World Data System (WDS), CODATA. We will provide a platform for using and implementing the FAIR principles in the day to day work of national and European research data providers and repositories. The consortium cooperates with other projects that will be funded under the INFRAEOSC-05-2018 topic (e.g. the EOSC governance (5a) and where appropriate 5b, the projects funded in the INFRAEOSC-04-2018 topic (e.g. the ESFRI clusters SSHOC, PANOSC, ENVRI FAIR, ESCAPE and EOSCLife) and with the EOSC coordination structure developed in the existing EOSC-pilot and EOSC-hub projects. According to the research data life cycle (planning/creating, processing, analysing, preserving and reuse) the consortium partners have defined goals, activities and outputs on - making data FAIR through research workflows - ensuring long-term preservation of data - making data FAIR through data curation - improving accessibility of research data (e.g. legal barriers) - improving findability of data through creation and interconnection of metadata catalogues - curricula/education
Data Management Plans