ENVRI-FAIR - Interoperable environmental FAIR data and services for society, innovation and research
| Autor: | Ulrich Bundke, Andreas Petzold, Alex Vermeulen, Ari Asmi, Helen Glaves, Zhiming Zhao, Gelsomina Pappalardo, Daniele Bailo, Dick Schaap |
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| Přispěvatelé: | Multiscale Networked Systems (IvI, FNWI), INAR Physics |
| Rok vydání: | 2019 |
| Předmět: |
Knowledge management
010504 meteorology & atmospheric sciences Life cycle Interoperability European union 0207 environmental engineering Data life cycle Cloud computing 02 engineering and technology Pre-production environmental science 114 Physical sciences 01 natural sciences Knowledge-based systems Environmental researches Thematic data media_common.cataloged_instance 020701 environmental engineering Productivity 0105 earth and related environmental sciences media_common data services business.industry e-Science Research infrastructure research infrastructures International development EOSC Knowledge based systems Data as a service business Knowledge based |
| Zdroj: | IEEE 15th International Conference on eScience: proceedings : 24-27 September 2019, San Diego, California, 277-280 STARTPAGE=277;ENDPAGE=280;TITLE=IEEE 15th International Conference on eScience eScience 2019 15th International Conference on eScience (eScience) |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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