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.
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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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Alper, P. et al. (2018). Provenance-Enabled Stewardship of Human Data in the GDPR Era. In: Belhajjame, K., Gehani, A., Alper, P. (eds) Provenance and Annotation of Data and Processes. IPAW 2018. Lecture Notes in Computer Science(), vol 11017. Springer, Cham. https://doi.org/10.1007/978-3-319-98379-0_33
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DOI: https://doi.org/10.1007/978-3-319-98379-0_33
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