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Privacy risk assessment in context: a meta-model based on contextual integrity.

Henriksen-Bulmer, Jane; Faily, Shamal; Jeary, Sheridan


Jane Henriksen-Bulmer

Shamal Faily

Sheridan Jeary


Publishing data in open format is a growing trend, particularly for public bodies who have a legal obligation to make data available as open data. We look at the privacy implications of publishing open data and, in particular, how organisations can make informed decisions around privacy risks in relation to open data publishing before publication occurs. Using a well established theoretical privacy assessment framework, Contextual Integrity, we illustrate how this can be translated into a practical meta-model that can assist public bodies in assessing what privacy implications or risks might be associated with making a particular dataset available as open data. We validate the meta-model by providing a worked example and illustrate the effectiveness of this by reference to a case study application where the meta-model was successfully applied in practice.


HENRIKSEN-BULMER, J., FAILY, S. and JEARY, S. 2019. Privacy risk assessment in context: a meta-model based on contextual integrity. Computers and security [online], 82, pages 270-283. Available from:

Journal Article Type Article
Acceptance Date Jan 6, 2019
Online Publication Date Jan 11, 2019
Publication Date May 31, 2019
Deposit Date Sep 16, 2021
Publicly Available Date Nov 23, 2021
Journal Computers and security
Print ISSN 0167-4048
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 82
Pages 270-283
Keywords Open data; Personal data; Data protection; Privacy and computing; Information governance; Public sector; Systems security
Public URL


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