Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility
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 a...
| Main Authors: | , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2021-12-01
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| Series: | Neuroimage: Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666956021000519 |
| _version_ | 1818717097348300800 |
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| author | Damian Eke Ida E.J. Aasebø Simisola Akintoye William Knight Alexandros Karakasidis Ezequiel Mikulan Paschal Ochang George Ogoh Robert Oostenveld Andrea Pigorini Bernd Carsten Stahl Tonya White Lyuba Zehl |
| author_facet | Damian Eke Ida E.J. Aasebø Simisola Akintoye William Knight Alexandros Karakasidis Ezequiel Mikulan Paschal Ochang George Ogoh Robert Oostenveld Andrea Pigorini Bernd Carsten Stahl Tonya White Lyuba Zehl |
| author_sort | Damian Eke |
| collection | DOAJ |
| description | 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 re-identifiability 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. |
| first_indexed | 2024-12-17T19:29:44Z |
| format | Article |
| id | doaj.art-e0d20ee2788246219b5a076a18b1e45f |
| institution | Directory Open Access Journal |
| issn | 2666-9560 |
| language | English |
| last_indexed | 2024-12-17T19:29:44Z |
| publishDate | 2021-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Neuroimage: Reports |
| spelling | doaj.art-e0d20ee2788246219b5a076a18b1e45f2022-12-21T21:35:17ZengElsevierNeuroimage: Reports2666-95602021-12-0114100053Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utilityDamian Eke0Ida E.J. Aasebø1Simisola Akintoye2William Knight3Alexandros Karakasidis4Ezequiel Mikulan5Paschal Ochang6George Ogoh7Robert Oostenveld8Andrea Pigorini9Bernd Carsten Stahl10Tonya White11Lyuba Zehl12Centre for Computing and Social Responsibility, De Montfort University, Leicester, UK; Corresponding author.University of Oslo, NorwayCentre for Law, Justice and Society, De Montfort University, Leicester, UKCentre for Computing and Social Responsibility, De Montfort University, Leicester, UKAthens University of Business and Economics, Greece; University of Macedonia, GreeceUniversity of Milan, ItalyCentre for Computing and Social Responsibility, De Montfort University, Leicester, UKCentre for Computing and Social Responsibility, De Montfort University, Leicester, UKRadboud University, Nijmegen, the Netherlands; Karolinska Institutet, Stockholm, SwedenUniversity of Milan, ItalyCentre for Computing and Social Responsibility, De Montfort University, Leicester, UKErasmus University Medical Centre, the NetherlandsResearch Centre Jülich, Institute of Neuroscience and Medicine (INM-1), GermanyFor 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 re-identifiability 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.http://www.sciencedirect.com/science/article/pii/S2666956021000519NeuroimagesAnonymizationPseudonymisationNeurodatade-identificationMRI |
| spellingShingle | Damian Eke Ida E.J. Aasebø Simisola Akintoye William Knight Alexandros Karakasidis Ezequiel Mikulan Paschal Ochang George Ogoh Robert Oostenveld Andrea Pigorini Bernd Carsten Stahl Tonya White Lyuba Zehl Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility Neuroimage: Reports Neuroimages Anonymization Pseudonymisation Neurodata de-identification MRI |
| title | Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility |
| title_full | Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility |
| title_fullStr | Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility |
| title_full_unstemmed | Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility |
| title_short | Pseudonymisation of neuroimages and data protection: Increasing access to data while retaining scientific utility |
| title_sort | pseudonymisation of neuroimages and data protection increasing access to data while retaining scientific utility |
| topic | Neuroimages Anonymization Pseudonymisation Neurodata de-identification MRI |
| url | http://www.sciencedirect.com/science/article/pii/S2666956021000519 |
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