Journal Article

Privacy by Design at Population Data BC: a case study describing the technical, administrative, and physical controls for privacy-sensitive secondary use of personal information for research in the public interest

Caitlin Pencarrick Hertzman, Nancy Meagher and Kimberlyn M McGrail

in Journal of the American Medical Informatics Association

Published on behalf of American Medical Informatics Association

Volume 20, issue 1, pages 25-28
Published in print January 2013 | ISSN: 1067-5027
Published online August 2012 | e-ISSN: 1527-974X | DOI: https://dx.doi.org/10.1136/amiajnl-2012-001011
Privacy by Design at Population Data BC: a case study describing the technical, administrative, and physical controls for privacy-sensitive secondary use of personal information for research in the public interest

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  • Medical Statistics and Methodology
  • Bioinformatics and Computational Biology
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Abstract

Population Data BC (PopData) is an innovative leader in facilitating access to linked data for population health research. Researchers from academic institutions across Canada work with PopData to submit data access requests for projects involving linked administrative data, with or without their own researcher-collected data. PopData and its predecessor—the British Columbia Linked Health Database—have facilitated over 350 research projects analyzing a broad spectrum of population health issues. PopData embeds privacy in every aspect of its operations. This case study focuses on how implementing the Privacy by Design model protects privacy while supporting access to individual-level data for research in the public interest. It explores challenges presented by legislation, stewardship, and public perception and demonstrates how PopData achieves both operational efficiencies and due diligence.

Journal Article.  2881 words. 

Subjects: Medical Statistics and Methodology ; Bioinformatics and Computational Biology ; Biomathematics and Statistics

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