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  • Book
  • Open Access
  • © 2020

Towards Interoperable Research Infrastructures for Environmental and Earth Sciences

A Reference Model Guided Approach for Common Challenges

  • features latest developments in data management

  • EU project H2020 ENVRIplus

  • published completely open access

Part of the book series: Lecture Notes in Computer Science (LNCS, volume 12003)

Part of the book sub series: Information Systems and Applications, incl. Internet/Web, and HCI (LNISA)

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Price excludes VAT (USA)
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Table of contents (20 chapters)

  1. Front Matter

    Pages i-x
  2. Data Management in Environmental and Earth Sciences

    1. Front Matter

      Pages 1-1
    2. Supporting Cross-Domain System-Level Environmental and Earth Science

      • Alex Vermeulen, Helen Glaves, Sylvie Pouliquen, Alexandra Kokkinaki
      Pages 3-16Open Access
    3. ICT Infrastructures for Environmental and Earth Sciences

      • Keith Jeffery, Antti Pursula, Zhiming Zhao
      Pages 17-29Open Access
    4. Common Challenges and Requirements

      • Barbara Magagna, Paul Martin, Abraham Nieva de la Hidalga, Malcolm Atkinson, Zhiming Zhao
      Pages 30-57Open Access
  3. Reference Model Guided System Design and Development

    1. Front Matter

      Pages 59-59
    2. The ENVRI Reference Model

      • Abraham Nieva de la Hidalga, Alex Hardisty, Paul Martin, Barbara Magagna, Zhiming Zhao
      Pages 61-81Open Access
    3. Reference Model Guided Engineering

      • Zhiming Zhao, Keith Jeffery
      Pages 82-99Open Access
    4. Semantic and Knowledge Engineering Using ENVRI RM

      • Paul Martin, Xiaofeng Liao, Barbara Magagna, Markus Stocker, Zhiming Zhao
      Pages 100-119Open Access
  4. Common Data Management Services in Environmental RIs

    1. Front Matter

      Pages 121-121
    2. Data Curation and Preservation

      • Keith Jeffery
      Pages 123-139Open Access
    3. Data Cataloguing

      • Erwann Quimbert, Keith Jeffery, Claudia Martens, Paul Martin, Zhiming Zhao
      Pages 140-161Open Access
    4. Identification and Citation of Digital Research Resources

      • Margareta Hellström, Maria Johnsson, Alex Vermeulen
      Pages 162-175Open Access
    5. Data Processing and Analytics for Data-Centric Sciences

      • Leonardo Candela, Gianpaolo Coro, Lucio Lelii, Giancarlo Panichi, Pasquale Pagano
      Pages 176-191Open Access
    6. Virtual Infrastructure Optimisation

      • Spiros Koulouzis, Paul Martin, Zhiming Zhao
      Pages 192-207Open Access
    7. Data Provenance

      • Barbara Magagna, Doron Goldfarb, Paul Martin, Malcolm Atkinson, Spiros Koulouzis, Zhiming Zhao
      Pages 208-225Open Access
    8. Semantic Linking of Research Infrastructure Metadata

      • Paul Martin, Barbara Magagna, Xiaofeng Liao, Zhiming Zhao
      Pages 226-246Open Access
    9. Authentication, Authorization, and Accounting

      • Alessandro Paolini, Diego Scardaci, Nicolas Liampotis, Vincenzo Spinoso, Baptiste Grenier, Yin Chen
      Pages 247-271Open Access
    10. Virtual Research Environments for Environmental and Earth Sciences: Approaches and Experiences

      • Keith Jeffery, Leonardo Candela, Helen Glaves
      Pages 272-289Open Access
  5. Case Studies

    1. Front Matter

      Pages 291-291

About this book

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.


Editors and Affiliations

  • University of Amsterdam, Amsterdam, The Netherlands

    Zhiming Zhao

  • Lund University, Lund, Sweden

    Margareta Hellström

Bibliographic Information

Buy it now

Buying options

Softcover Book USD 59.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access