ENVRI-FAIR - Interoperable environmental FAIR data and services for society, innovation and research

Open Access
Authors
  • A. Petzold
  • A. Asmi
  • A. Vermeulen
  • G. Pappalardo
  • D. Bailo
  • D. Schaap
  • H.M. Glaves
  • U. Bundke
  • Z. Zhao ORCID logo
Publication date 2019
Book title IEEE 15th International Conference on eScience
Book subtitle proceedings : 24-27 September 2019, San Diego, California
ISBN
  • 9781728124520
ISBN (electronic)
  • 9781728124513
Event 15th IEEE International Conference on eScience, eScience 2019
Pages (from-to) 277-280
Number of pages 4
Publisher Los Alamitos, California: IEEE Computer Society
Organisations
  • Faculty of Science (FNWI) - Informatics Institute (IVI)
Abstract

ENVRI-FAIR is a recently launched project of the European Union's Horizon 2020 program (EU H2020), connecting the cluster of European Environmental Research Infrastructures (ENVRI) to the European Open Science Cloud (EOSC). The overarching goal of ENVRI-FAIR is that all participating research infrastructures (RIs) will provide a set of interoperable FAIR data services that enhance the efficiency and productivity of researchers, support innovation, enable data-And knowledge-based decisions and connect the ENVRI cluster to the EOSC. This goal will be reached by: (1) defining community policies and standards across all stages of the data life cycle, aligned with the wider European policies and with international developments; (2) creating for all participating RIs sustainable, transparent and auditable data services for each stage of the data life cycle, following the FAIR principles; (3) implementing prototypes for testing pre-production services at each RI, leading to a catalogue of prepared services; (4) exposing the complete set of thematic data services and tools of the ENVRI cluster to the EOSC catalogue of services.

Document type Conference contribution
Note ENVRI-FAIR has received funding from the EC Horizon 2020 research and innovation programme under grant agreement No 824068.
Language English
Published at https://doi.org/10.1109/eScience.2019.00038
Published at https://zenodo.org/record/3462816
Other links http://www.proceedings.com/53619.html https://www.scopus.com/pages/publications/85079486663
Downloads
2019.conference.escience.softtool.camera (Accepted author manuscript)
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