Understanding Climate Data Through Commentary Metadata: The CHARMe Project

  • Jon D. Blower
  • Raquel Alegre
  • Victoria L. Bennett
  • Debbie J. Clifford
  • Philip J. Kershaw
  • Bryan N. Lawrence
  • Jane P. Lewis
  • Kevin Marsh
  • Maurizio Nagni
  • Alan O’Neill
  • Rhona A. Phipps
Conference paper
First Online:
Part of the Communications in Computer and Information Science book series (CCIS, volume 416)

Abstract

We describe the CHARMe project, which aims to link climate datasets with publications, user feedback and other items of “commentary metadata”. The system will help users learn from previous community experience and select datasets that best suit their needs, as well as providing direct traceability between conclusions and the data that supported them. The project applies the principles of Linked Data and adopts the Open Annotation standard to record and publish commentary information. CHARMe contributes to the emerging landscape of “climate services”, which will provide climate data and information to influence policy and decision-making. Although the project focuses on climate science, the technologies and concepts are very general and could be applied to other fields.

Keywords

Climate data Climate services Open annotation Linked data Semantic web Metadata 
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Notes

Acknowledgements

This research has received funding from the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement number 312641. The authors are very grateful to all the other members of the CHARMe consortium (http://www.charme.org.uk), and the project’s advisory board, for all input and discussions. We thank two anonymous reviewers for helpful comments.

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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jon D. Blower
    • 1
    • 3
  • Raquel Alegre
    • 1
    • 3
  • Victoria L. Bennett
    • 2
    • 3
  • Debbie J. Clifford
    • 1
    • 3
  • Philip J. Kershaw
    • 2
    • 3
  • Bryan N. Lawrence
    • 1
    • 2
    • 4
  • Jane P. Lewis
    • 1
    • 3
  • Kevin Marsh
    • 2
    • 3
    • 4
  • Maurizio Nagni
    • 2
  • Alan O’Neill
    • 1
    • 3
  • Rhona A. Phipps
    • 1
    • 3
  1. 1.Department of MeteorologyUniversity of ReadingReadingUK
  2. 2.STFC Centre for Environmental Data ArchivalRutherford Appleton LaboratoryDidcotUK
  3. 3.National Centre for Earth ObservationReadingUK
  4. 4.National Centre for Atmospheric ScienceReadingUK

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