Pseudonymization for research data collection: is the juice worth the squeeze?

Area of Science:

• Biomedical research
• Information security
• Data privacy

Background:

• Biomedical research relies on sensitive patient data requiring robust protection.
• Pseudonymization separates direct identifiers from research data, mandated by regulations.
• Implementing pseudonymization can complicate data management and introduce security vulnerabilities.

Purpose of the Study:

• To evaluate the effectiveness of pseudonymization in enhancing data protection for research.
• To identify the need for standardized risk assessment in pseudonymized data systems.
• To analyze the current state of security property reporting in studies using pseudonymized data.

Main Methods:

• Analysis of twelve recent studies on pseudonymized data management.
• Assessment of how studies address the six basic security properties from ISO 27,000.
• Review of existing practices for evaluating risks, threats, and countermeasures.

Main Results:

• Pseudonymization implementation increases system complexity and potential attack vectors.
• Current methods for describing pseudonymized data systems are heterogeneous and ad-hoc.
• Most reviewed studies failed to address all essential security properties.

Conclusions:

• Further research is required on pseudonymity, information security, and data protection.
• Development of problem-specific guidelines for risk evaluation and reporting is crucial.
• Future work should incorporate structured analyses of pseudonymized data collection systems.