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Assessing metadata privacy in neuroimaging
Emilie Kibsgaard1, Anita Sue Jwa2, Christopher J Markiewicz2
1Neurobiology Research Unit, Copenhagen University Hospital, Copenhagen, Denmark.
Imaging Neuroscience (Cambridge, Mass.)
|February 25, 2026
Summary
Research data sharing enhances science but risks privacy. A study found neuroimaging data generally well-protected, with demographics posing the main privacy risks. Mitigation strategies are proposed for safer data sharing.
Area of Science:
- Neuroscience
- Data Science
- Bioethics
Background:
- Sharing research data is crucial for scientific advancement.
- However, privacy risks, including reidentification and potential harm, are significant concerns.
- Balancing data accessibility with participant privacy is an ongoing ethical and legal challenge.
Purpose of the Study:
- To assess privacy risks in openly available neuroimaging datasets.
- To evaluate the effectiveness of privacy metrics in identifying vulnerabilities.
- To propose practical measures for enhancing the safety of shared research data.
Main Methods:
- Reviewed metadata from heterogeneous neuroimaging studies on OpenNeuro.
- Utilized the metaprivBIDS software to compute privacy metrics (k-anonymity, l-diversity, etc.).
- Analyzed demographic and clinical score data for reidentification risks.
Main Results:
- Privacy was generally well maintained across datasets, with rare serious vulnerabilities.
- Nearly all datasets exhibited minor issues requiring mitigation.
- Demographic variables (age, sex, race, location) posed higher reidentification risks than clinical scores.
Conclusions:
- Open neuroimaging data sharing is largely safe, but not without risks.
- Demographic data requires careful handling to prevent reidentification.
- Implementing practical mitigation strategies can facilitate safer data sharing practices.
