Reference : Qualifying and Measuring Transparency: A Medical Data System Case Study
Scientific journals : Article
Engineering, computing & technology : Multidisciplinary, general & others
Security, Reliability and Trust
http://hdl.handle.net/10993/41989
Qualifying and Measuring Transparency: A Medical Data System Case Study
English
Spagnuelo, Dayana [Vrije Universiteit Amsterdam - VU > Faculty of Science, Business Web and Media > > Lecturer]
Bartolini, Cesare [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Lenzini, Gabriele mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
2020
Computers and Security
Elsevier
Yes (verified by ORBilu)
0167-4048
United Kingdom
[en] Transparency is a data processing principle enforced by the GDPR but purposely left open to interpretation. As such, the means to adhere to it are left unspecified. Article 29 Working Party provides practical guidance on how to interpret transparency, however there are no defined requirements nor ways to verify the quality of the implementation of transparency. We address this problem. We discuss and define applicable metrics for transparency, propose how measurement can be conducted in an operative system, and suggest a practical way in which these metrics can be interpreted in order to increase confidence that transparency is realised in a system.
Researchers ; Professionals
http://hdl.handle.net/10993/41989
10.1016/j.cose.2020.101717
FnR ; FNR10404786 > Gabriele LENZINI > DAPRECO > Data Protection Regulation Compliance > 01/01/2016 > 31/12/2018 > 2015

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