Preventing Unintended Disclosure of Personally Identifiable Data Following Anonymisation

Smith, CJ orcid.org/0000-0002-0184-3590 (2017) Preventing Unintended Disclosure of Personally Identifiable Data Following Anonymisation. In: Randell, R, Cornet, R, McGowan, C, Peek, N and Scott, PJ, (eds.) Informatics for Health: Connected Citizen-Led Wellness and Population Health. Studies in Health Technology and Informatics, 235 . IOS Press , pp. 313-317. ISBN 978-1-61499-752-8

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Copyright, Publisher and Additional Information: © 2017 European Federation for Medical Informatics (EFMI) and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0).
Keywords: anonymisation; unintended disclosure; personally identifiable data; human judgement; privacy
Dates:
  • Published: 20 April 2017
  • Accepted: 27 January 2017
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Medicine and Health (Leeds) > School of Medicine (Leeds) > Leeds Institute of Health Sciences (Leeds) > Centre for Health Services Research (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 21 Apr 2017 11:36
Last Modified: 21 Apr 2017 11:36
Published Version: http://ebooks.iospress.nl/volumearticle/46353
Status: Published
Publisher: IOS Press
Series Name: Studies in Health Technology and Informatics
Identification Number: https://doi.org/10.3233/978-1-61499-753-5-313

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