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Data Curation Policies and Data Provenance in EUDAT Collaborative Data Infrastructure

  • Vasily Bunakov
  • Alexander Atamas
  • Alexia de Casanove
  • Pascal Dugénie
  • Rene van Horik
  • Simon Lambert
  • Javier Quinteros
  • Linda Reijnhoudt
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 822)

Abstract

The work outlines the development of a data curation and data provenance framework in the EUDAT Collaborative Data Infrastructure. Practical use cases are described, as well as results of defining and implementing data curation policies and data provenance patterns.

Keywords

Data curation Data provenance E-infrastructures Long-term digital preservation Policies 

Notes

Acknowledgements

This work is supported by EUDAT 2020 project that receives funding from the European Union’s Horizon 2020 research and innovation programme under the grant agreement No. 654065. The views expressed are those of authors and not necessarily of the project.

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Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  • Vasily Bunakov
    • 1
  • Alexander Atamas
    • 2
  • Alexia de Casanove
    • 3
  • Pascal Dugénie
    • 3
  • Rene van Horik
    • 2
  • Simon Lambert
    • 1
  • Javier Quinteros
    • 4
  • Linda Reijnhoudt
    • 2
  1. 1.Science and Technology Facilities CouncilHarwell, OxfordshireUK
  2. 2.Data Archiving and Networked Services (DANS)The HagueNetherlands
  3. 3.CINESMontpellierFrance
  4. 4.GFZ German Research Centre for GeosciencePotsdamGermany

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