Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

A Reference Model Guided Approach for Common Challenges
Springer (Verlag)
  • 1. Auflage
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  • erschienen am 25. Juli 2020
  • Buch
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  • Softcover
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  • 384 Seiten
978-3-030-52828-7 (ISBN)
This open access book summarises the latest developments on data management in the EU H2020 ENVRIplus project, which brought together more than 20 environmental and Earth science research infrastructures into a single community. It provides readers with a systematic overview of the common challenges faced by research infrastructures and how a 'reference model guided' engineering approach can be used to achieve greater interoperability among such infrastructures in the environmental and earth sciences.

The 20 contributions in this book are structured in 5 parts on the design, development, deployment, operation and use of research infrastructures. Part one provides an overview of the state of the art of research infrastructure and relevant e-Infrastructure technologies, part two discusses the reference model guided engineering approach, the third part presents the software and tools developed for common data management challenges, the fourth part demonstrates the software via several use cases, and the last part discusses the sustainability and future directions.
1st ed. 2020
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 101 farbige Abbildungen, 23 s/w Abbildungen
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  • 101 Illustrations, color; 23 Illustrations, black and white; X, 373 p. 124 illus., 101 illus. in color.
  • Höhe: 235 mm
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  • Breite: 155 mm
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  • Dicke: 20 mm
  • 581 gr
978-3-030-52828-7 (9783030528287)
weitere Ausgaben werden ermittelt
Supporting cross-domain system-level environmental and earth science.- ICT infrastructure for environmental and earth sciences.- Common challenges and requirements.- ENVRI reference model.- Reference model guided engineering.- Semantic and knowledge engineering using ENVRI RM.- Data curation and preservation.- Data cataloguing.- Data identification and citation.- Data processing.- Virtual infrastructure optimization.- Data provenance.- Metadata, semantic linking.- Authentication, Authorization, and Accounting.- Virtual research environment.- Case study: e.g., data subscriptions using elastic Cloud service.- Case study: e.g., D4Science: a VRE solution for RI.- Case study: LifeWatch.- Sustainability.- Future challenges.

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