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Provenance-Enabled Stewardship of Human Data in the GDPR Era

  • Pinar AlperEmail author
  • Regina Becker
  • Venkata Satagopam
  • Christophe Trefois
  • Valentin Grouès
  • Jacek Lebioda
  • Yohan Jarosz
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11017)

Abstract

Within life-science research the upcoming EU General Data Protection Regulation has a significant operational impact on organisations that use and exchange controlled-access Human Data. One implication of the GDPR is data bookkeeping. In this poster we describe a software tool, the Data Information System (DAISY), designed to record data protection relevant provenance of Human Data held and exchanged by research organisations.

Keywords

GDPR Human Data Provenance 

Notes

Acknowledgements

This work was (partially) funded through the contribution of the Luxembourg Ministry of Higher Education and Research towards the Luxembourg ELIXIR Node.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Luxembourg Centre for Systems BiomedicineEsch-sur-AlzetteLuxembourg

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