FAIRsFAIR | Fostering FAIR Data Practices in Europe

Summary
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
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More information & hyperlinks
Web resources: https://cordis.europa.eu/project/id/831558
Start date: 01-03-2019
End date: 28-02-2022
Total budget - Public funding: 9 998 848,75 Euro - 9 998 848,00 Euro
Cordis data

Original 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

Status

CLOSED

Call topic

INFRAEOSC-05-2018-2019

Update Date

28-04-2024
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Horizon 2020
H2020-EU.1. EXCELLENT SCIENCE
H2020-EU.1.4. EXCELLENT SCIENCE - Research Infrastructures
H2020-EU.1.4.1. Developing the European research infrastructures for 2020 and beyond
H2020-EU.1.4.1.1. Developing new world-class research infrastructures
H2020-INFRAEOSC-2018-3
INFRAEOSC-05-2018-2019 Support to the EOSC Governance
H2020-INFRAEOSC-2018-4
INFRAEOSC-05-2018-2019 Support to the EOSC Governance