Data safe havens in health research and healthcare

Burton, P. R. et al. (2015) Data safe havens in health research and healthcare. Bioinformatics, 31(20), pp. 3241-3248. (doi: 10.1093/bioinformatics/btv279) (PMID:26112289) (PMCID:PMC4595892)

[img]
Preview
Text
221336.pdf - Published Version
Available under License Creative Commons Attribution.

297kB

Abstract

Motivation: The data that put the 'evidence' into 'evidence-based medicine' are central to developments in public health, primary and hospital care. A fundamental challenge is to site such data in repositories that can easily be accessed under appropriate technical and governance controls which are effectively audited and are viewed as trustworthy by diverse stakeholders. This demands socio-technical solutions that may easily become enmeshed in protracted debate and controversy as they encounter the norms, values, expectations and concerns of diverse stakeholders. In this context, the development of what are called 'Data Safe Havens' has been crucial. Unfortunately, the origins and evolution of the term have led to a range of different definitions being assumed by different groups. There is, however, an intuitively meaningful interpretation that is often assumed by those who have not previously encountered the term: a repository in which useful but potentially sensitive data may be kept securely under governance and informatics systems that are fit-for-purpose and appropriately tailored to the nature of the data being maintained, and may be accessed and utilized by legitimate users undertaking work and research contributing to biomedicine, health and/or to ongoing development of healthcare systems. Results: This review explores a fundamental question: 'what are the specific criteria that ought reasonably to be met by a data repository if it is to be seen as consistent with this interpretation and viewed as worthy of being accorded the status of 'Data Safe Haven' by key stakeholders'? We propose 12 such criteria.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Murtagh, Professor Madeleine
Authors: Burton, P. R., Murtagh, M., Boyd, A., Williams, J. B., Dove, E. S., Wallace, S. E., Tassé, A.-M., Little, J., Chisholm, R. L., Gaye, A., Hveem, K., Brookes, A. J., Goodwin, P., Fistein, J., Bobrow, M., and Knoppers, B. M.
College/School:College of Social Sciences
Journal Name:Bioinformatics
Publisher:Oxford University Press
ISSN:1367-4803
ISSN (Online):1460-2059
Copyright Holders:Copyright © The Author 2015
First Published:First published in Bioinformatics 31(20)3241–3248
Publisher Policy:Reproduced under a Creative Commons licence

University Staff: Request a correction | Enlighten Editors: Update this record