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Portrait of Alex Vermeulen

Alex Vermeulen

Manager

Portrait of Alex Vermeulen

Reference model guided system design and implementation for interoperable environmental research infrastructures

Author

  • Zhiming Zhao
  • Paul Martin
  • Paola Grosso
  • Wouter Los
  • Cees De Laat
  • Keith Jeffrey
  • Alex Hardisty
  • Alex Vermeulen
  • Donatella Castelli
  • Yannick Legre
  • Werner Kutsch
Show all

Summary, in English

Environmental research infrastructures (RIs) support their respective research communities by integrating large-scale sensor/observation networks with data curation services, analytical tools and common operational policies. These RIs are developed as pillars of intra-and interdisciplinary research, however comprehension of the complex, pathologically interconnected aspects of the Earth's ecosystem increasingly requires that researchers conduct their experiments across infrastructure boundaries. Consequently, almost all data-related activities within these infrastructures, from data capture to data usage, needs to be designed to be broadly interoperable in order to enable real interdisciplinary innovation. The Data for Science theme in the EU Horizon 2020 project ENVRIPLUS intends to address this interoperability challenge as it relates to the design, implementation and operation of environmental science RIs, the theme focuses on key issues of data identification and citation, curation, cataloguing, processing, optimization, and provenance, supported by a generic cross-infrastructure reference model.

Department/s

  • Dept of Physical Geography and Ecosystem Science

Publishing year

2015-10-22

Language

English

Pages

551-556

Publication/Series

Proceedings - 11th IEEE International Conference on eScience, eScience 2015

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Information Systems

Keywords

  • E-research
  • E-science
  • Environmental research
  • Reference model
  • Research infrastructure
  • System-level science

Conference name

11th IEEE International Conference on eScience, eScience 2015

Conference date

2015-08-31 - 2015-09-04

Conference place

Munich, Germany

Status

Published

ISBN/ISSN/Other

  • ISBN: 9781467393256