Rumbold_2018.pdf (154.64 kB)
Download fileContextual Anonymization for Secondary Use of Big Data in Biomedical Research: Proposal for an Anonymization Matrix
journal contribution
posted on 2023-07-26, 15:14 authored by John M. M. Rumbold, Barbara K. PierscionekBackground: The current law on anonymization sets the same standard across all situations, which poses a problem for biomedical research.
Objective: We propose a matrix for setting different standards, which is responsive to context and public expectations.
Methods: The law and ethics applicable to anonymization were reviewed in a scoping study. Social science on public attitudes and research on technical methods of anonymization were applied to formulate a matrix.
Results: The matrix adjusts anonymization standards according to the sensitivity of the data and the safety of the place, people, and projects involved.
Conclusions: The matrix offers a tool with context-specific standards for anonymization in data research
History
Refereed
- Yes
Volume
6Issue number
4Page range
e47Publication title
JMIR Medical InformaticsISSN
2291-9694External DOI
Publisher
JMIR PublicationsFile version
- Published version
Language
- eng