Applying contextual integrity to open data publishing.

Henriksen-Bulmer, Jane; Faily, Shamal

Abstract

Open data publishing by both corporate and public bodies has increased significantly in recent years and this type of data could soon be developing into a real commodity. However, not all organisations pay sufficient heed to privacy as part of the decision-making process around open data publication, leaving both the organisation and the users whose data they handle vulnerable to privacy breaches. We present a case study in which we applied contextual integrity in practice, working with a UK local authority using real data. This illustrated how privacy can be incorporated into the decision-making process prior to publication taking place. Our results illustrate the application of Nissenbaum's Contextual Integrity Framework (CI) to the open data domain, and shows that CI is usable in practice.

Citation

HENRIKSEN-BULMER, J. and FAILY, S. 2017. Applying contextual integrity to open data publishing. In Hall, L., Flint, T., O'Hara, S. and Turner, P. (eds.) Proceedings of the 31st International BCS human computer interaction conference (HCI 2017), 3-6 July 2017, Sunderland, UK. Swindon: BCS, paper number 95. Hosted on ScienceOpen [online]. Available from: https://doi.org/10.14236/ewic/HCI2017.95

• Presentation Conference Type: Conference Paper (published)
• Conference Name: 31st International BCS human computer interaction conference (HCI 2017)
• Start Date: Jul 3, 2017
• End Date: Jul 6, 2017
• Acceptance Date: May 15, 2017
• Online Publication Date: Jul 31, 2017
• Publication Date: Jul 31, 2017
• Deposit Date: Dec 1, 2021
• Publicly Available Date: Dec 1, 2021
• Publisher: BCS, The Chartered Institute for IT
• Peer Reviewed: Peer Reviewed
• Series Title: Electronic workshops in computing
• Series ISSN: 1477-9358
• DOI: https://doi.org/10.14236/ewic/HCI2017.95
• Keywords: Open data; Data protection; Data privacy; Contextual integrity
• Public URL: https://rgu-repository.worktribe.com/output/1437912