Bridging policy, regulation and practice? A techno-legal analysis of three types of data in the GDPR
Bridging policy, regulation and practice? A techno-legal analysis of three types of data in the GDPR
The paper aims to determine how the General Data Protection Regulation (GDPR) could be read in harmony with Article 29 Working Party’s Opinion on anonymisation techniques. To this end, based on an interdisciplinary methodology, a common terminology to capture the novel elements enshrined in the GDPR is built, and, a series of key concepts (i.e. sanitisation techniques, contextual controls, local linkability, global linkability, domain linkability) followed by a set of definitions for three types of data emerging from the GDPR are introduced. Importantly, two initial assumptions are made: 1) the notion of identifiability (i.e. being identified or identifiable) is used consistently across the GDPR (e.g. Article 4 and Recital 26); 2) the Opinion on Anonymisation Techniques is still good guidance as regards the classification of re-identification risks and the description of sanitisation techniques. It is suggested that even if these two premises seem to lead to an over-restrictive approach, this holds true as long as contextual controls are not combined with sanitisation techniques. Yet, contextual controls have been conceived as complementary to sanitisation techniques by the drafters of the GDPR. The paper concludes that the GDPR is compatible with a risk-based approach when contextual controls are combined with sanitisation techniques.
GDPR, Data Anonymisation, Risk Assessment
Hu, Runshan
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Stalla-Bourdillon, Sophie
c189651b-9ed3-49f6-bf37-25a47c487164
Yang, Mu
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Schiavo, Valeria
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Sassone, Vladimiro
df7d3c83-2aa0-4571-be94-9473b07b03e7
28 December 2017
Hu, Runshan
18986f90-49c4-430e-8047-3bf6b2be61c3
Stalla-Bourdillon, Sophie
c189651b-9ed3-49f6-bf37-25a47c487164
Yang, Mu
9f619568-bfc7-44cf-b1b1-010e0b35eb68
Schiavo, Valeria
225f24de-a5ed-4cd1-a9d7-ac4d2cdfcfb4
Sassone, Vladimiro
df7d3c83-2aa0-4571-be94-9473b07b03e7
Hu, Runshan, Stalla-Bourdillon, Sophie, Yang, Mu, Schiavo, Valeria and Sassone, Vladimiro
(2017)
Bridging policy, regulation and practice? A techno-legal analysis of three types of data in the GDPR.
In,
Leenes, Ronald, van Brakel, Rosamunde, Gutwirth, Serge and De Hert, Paul
(eds.)
Data Protection and Privacy: the Age of Intelligent Machines.
(Computers, Privacy and Data Protection, 10)
Haywards Heath.
Hart.
Record type:
Book Section
Abstract
The paper aims to determine how the General Data Protection Regulation (GDPR) could be read in harmony with Article 29 Working Party’s Opinion on anonymisation techniques. To this end, based on an interdisciplinary methodology, a common terminology to capture the novel elements enshrined in the GDPR is built, and, a series of key concepts (i.e. sanitisation techniques, contextual controls, local linkability, global linkability, domain linkability) followed by a set of definitions for three types of data emerging from the GDPR are introduced. Importantly, two initial assumptions are made: 1) the notion of identifiability (i.e. being identified or identifiable) is used consistently across the GDPR (e.g. Article 4 and Recital 26); 2) the Opinion on Anonymisation Techniques is still good guidance as regards the classification of re-identification risks and the description of sanitisation techniques. It is suggested that even if these two premises seem to lead to an over-restrictive approach, this holds true as long as contextual controls are not combined with sanitisation techniques. Yet, contextual controls have been conceived as complementary to sanitisation techniques by the drafters of the GDPR. The paper concludes that the GDPR is compatible with a risk-based approach when contextual controls are combined with sanitisation techniques.
Text
Bridging Policy, Regulation and Practice? A techno-legal Analysis of Three Types of Data in the GDPR
- Accepted Manuscript
Text
CPDP2017_final
- Version of Record
More information
Accepted/In Press date: 13 July 2017
Published date: 28 December 2017
Keywords:
GDPR, Data Anonymisation, Risk Assessment
Identifiers
Local EPrints ID: 413577
URI: http://eprints.soton.ac.uk/id/eprint/413577
PURE UUID: 8536f988-2276-42bb-84e1-92d3dfbe478a
Catalogue record
Date deposited: 29 Aug 2017 16:30
Last modified: 10 Sep 2024 01:40
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Contributors
Author:
Runshan Hu
Author:
Mu Yang
Author:
Valeria Schiavo
Author:
Vladimiro Sassone
Editor:
Ronald Leenes
Editor:
Rosamunde van Brakel
Editor:
Serge Gutwirth
Editor:
Paul De Hert
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