Data Management in Distributed, Federated Research Infrastructures: The Case of EPOS
Data management is a key activity when Open Data stewardship through services complying with the FAIR principles is required, as it happens in many National and European initiatives. Existing guidelines and tools facilitate the drafting of Data Management Plans by focusing on a set of common paramet...
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Veröffentlicht in: | Data Science Journal 2024-01, Vol.23, p.5-5 |
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Sprache: | eng |
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Zusammenfassung: | Data management is a key activity when Open Data stewardship through services complying with the FAIR principles is required, as it happens in many National and European initiatives. Existing guidelines and tools facilitate the drafting of Data Management Plans by focusing on a set of common parameters or questions. In this paper we describe how data management is carried out in EPOS, the European Research Infrastructure for providing access to integrated data and services in the solid Earth domain. EPOS relies on a federated model and is committed to remain operational in the long term. In EPOS, five key dimensions were identified for the Federated Data Management, namely the management of: thematic data; e-infrastructure for data integration; community of data providers committed to data provision processes; sustainability; and policies. On the basis of the EPOS experience, which is to some extent applicable to other research infrastructures, we propose additional components that may extend the EU Horizon 2020 Data Management Guidelines template, thus comprehensively addressing the Federated Data Management in the context of distributed Research Infrastructures. Keywords: Data Management, Federated Research Infrastructures, EPOS, FAIR Principles, Open Data, Data Integration, Solid Earth Science, Data Management Plans |
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ISSN: | 1683-1470 1683-1470 |
DOI: | 10.5334/dsj-2024-005 |