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Qualifying and measuring transparency: A medical data system case study

delete2020-04-01
delete7
PRE
AI
D
Dayana Spagnuelo *
C
Cesare Bartolini
G
Gabriele Lenzini
DOI:10.1016/j.cose.2020.101717delete
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摘要

摘要

En 中文
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 in a service. We address this problem. We discuss and define applicable metrics for transparency, propose how a 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. (C) 2020 Elsevier Ltd. All rights reserved.
Keyword:
Transparency
GDPR
Metric
Measurement
Requirement engineering
Medical data system
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AI总结

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期刊

C
Computers and Security
IF:
5.4
论文数:
4.6K
被引数:
1.4W

机构

V
Vrije Universiteit Amsterdam
学者数:
4.2W
论文数: 3.7W
被引数: 3.7W
U
university of luxembourg
学者数:
5.2K
论文数: 4.8K
被引数: 4
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