Provenance-Enabled Stewardship of Human Data in the GDPR Era

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...

Full description

Saved in:
Bibliographic Details
Published inProvenance and Annotation of Data and Processes Vol. 11017; pp. 266 - 269
Main Authors Alper, Pinar, Becker, Regina, Satagopam, Venkata, Trefois, Christophe, Grouès, Valentin, Lebioda, Jacek, Jarosz, Yohan
Format Book Chapter
LanguageEnglish
Published Switzerland Springer International Publishing AG 2018
Springer International Publishing
SeriesLecture Notes in Computer Science
Subjects
Online AccessGet full text
ISBN3319983784
9783319983783
ISSN0302-9743
1611-3349
DOI10.1007/978-3-319-98379-0_33

Cover

More Information
Summary: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.
ISBN:3319983784
9783319983783
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-319-98379-0_33