Enabling Open-Science Initiatives in Clinical Psychology and Psychiatry Without Sacrificing Patients’ Privacy: Current Practices and Future Challenges

Summary

This narrative review examines the tension between open-science data sharing in clinical psychology and psychiatry and the imperative to protect patient privacy. The authors synthesise privacy risks and mitigation strategies—both organisational (data-use agreements) and technical (de-identification of structured and narrative data)—and illustrate their application in large-scale clinical databases. The paper highlights ongoing challenges in scaling privacy protections as open-science initiatives grow in complexity.

UK applicability

The principles of de-identification and governance mechanisms discussed are broadly applicable to UK clinical research under Data Protection Act 2018 and UK GDPR frameworks, though specific regulatory requirements differ from HIPAA. UK researchers operating NHS datasets or federated networks may find the technical de-identification approaches and privacy-risk taxonomy relevant.

Key measures

Privacy risk mitigation strategies; de-identification methods for structured and unstructured clinical data; data-use agreements; regulatory compliance with HIPAA Privacy Rule; data fidelity trade-offs

Outcomes reported

The study reviewed privacy risks associated with open data sharing in clinical psychology and psychiatry, and examined governance mechanisms (social and technological) to mitigate these risks whilst maintaining data fidelity. It illustrated de-identification methods compliant with HIPAA Privacy Rule requirements applied to large-scale clinical databases and distributed research networks.

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