DAMIAN EKE Damian.Eke@nottingham.ac.uk
Transitional Assistant Professor
Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility
Eke, Damian; Aasebø, Ida E.J.; Akintoye, Simisola; Knight, William; Karakasidis, Alexandros; Mikulan, Ezequiel; Ochang, Paschal; Ogoh, George; Oostenveld, Robert; Pigorini, Andrea; Stahl, Bernd Carsten; White, Tonya; Zehl, Lyuba
Authors
Ida E.J. Aasebø
Simisola Akintoye
William Knight
Alexandros Karakasidis
Ezequiel Mikulan
Paschal Ochang
GEORGE OGOH George.Ogoh@nottingham.ac.uk
Senior Research Fellow
Robert Oostenveld
Andrea Pigorini
Professor BERND STAHL Bernd.Stahl@nottingham.ac.uk
Professor of Critical Research in Technology
Tonya White
Lyuba Zehl
Abstract
For a number of years, facial features removal techniques such as ‘defacing’, ‘skull stripping’ and ‘face masking/blurring’, were considered adequate privacy preserving tools to openly share brain images. Scientifically, these measures were already a compromise between data protection requirements and research impact of such data.
Now, recent advances in machine learning and deep learning that indicate an increased possibility of reidentifiability from defaced neuroimages, have increased the tension between open science and data protection requirements. Researchers are left pondering how best to comply with the different jurisdictional requirements of anonymization, pseudonymisation or de-identification without compromising the scientific utility of neuroimages even further. In this paper, we present perspectives intended to clarify the meaning and scope of these concepts and highlight the privacy limitations of available pseudonymisation and de-identification techniques. We also discuss possible technical and organizational measures and safeguards that can facilitate sharing of pseudonymised neuroimages without causing further reductions to the utility of the data.
Journal Article Type | Article |
---|---|
Acceptance Date | Nov 25, 2021 |
Online Publication Date | Sep 15, 2021 |
Publication Date | 2021-12 |
Deposit Date | Jan 17, 2024 |
Publicly Available Date | Jan 18, 2024 |
Journal | Neuroimage: Reports |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 1 |
Issue | 4 |
Article Number | 100053 |
DOI | https://doi.org/10.1016/j.ynirp.2021.100053 |
Keywords | Neuroimages, Anonymization, Pseudonymisation, Neurodata, de-identification, MRI, Data protection |
Public URL | https://nottingham-repository.worktribe.com/output/29835156 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S2666956021000519?via%3Dihub |
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Pseudonymisation Of Neuroimages And Data Protection Increasing Access To Data While Retaining Scientific Utility
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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