PRiSE - Deliverable 5.1 / 5.2 / 5.3 / 5.4 - Validation of the Data Protection Modeling Framework (DPMF)

Laurens Sion, Pierre Dewitte, Dimitri Van Landuyt, Kim Wuyts, Peggy Valcke and Wouter Joosen

No 734885, Working Papers of Department of Decision Sciences and Information Management, Leuven from KU Leuven, Faculty of Economics and Business (FEB), Department of Decision Sciences and Information Management, Leuven

Abstract: Deliverable 5.1 / 5.2 / 5.3 / 5.4 validates the approach developed in the context of the other Work Packages. More specifically, it leverages two different use cases in the field of e-health to demonstrate that the DPMF, introduced in Deliverable 2.4, covers the main steps of a traditional DPIA exercise, is able to partially automate the identification and mitigation of a restrictive list of legal, data protection risks and paves the way for the generation of documentation based on the information contained in a model built using the modeling framework suggested in the context of the PRiSE project.

Date: 2021-10-04
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