Applying contextual integrity to open data publishing

Authors: Henriksen-Bulmer, J. and Faily, S.

Start date: 3 July 2017

Journal: Proceedings of the 31st British HCI Group Annual Conference on People and Computers: Digital Make Believe

Publisher: British Computer Society

This data was imported from DBLP:

Authors: Henriksen-Bulmer, J. and Faily, S.

Editors: Hall, L.E., Flint, T., O'Hara, S. and Turner, P.

Journal: BCS HCI

Publisher: BCS

This data was imported from Scopus:

Authors: Jane, H.B. and Faily, S.

Journal: HCI 2017: Digital Make Believe - Proceedings of the 31st International BCS Human Computer Interaction Conference, HCI 2017

Volume: 2017-July

Pages: 1-7

DOI: 10.14236/ewic/HCI2017.95

© Henriksen-Bulmer et al. Published by BCS Learning and Development Ltd. 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.

The data on this page was last updated at 05:13 on February 22, 2020.