Which practice best protects participant confidentiality when sharing data?

Which practice best protects participant confidentiality when sharing data?

• A. De-identification of data
• B. Publishing data with identifiers removed
• C. Sharing data without consent
• D. Storing data on unsecured servers

Answer: (A)

Protecting confidentiality when sharing data hinges on removing information that could identify participants. De-identification means stripping away direct identifiers like names, addresses, and contact details, and often replacing them with coded references that link back only to a secure key. This process lowers the risk that someone could trace data back to an individual, which is the central goal when sharing data for replication or secondary analyses. It allows valuable findings to be shared without exposing personal information, and it aligns with ethical and legal standards for privacy. Other options fail because removing identifiers before publishing, while similar in intent, can leave room for re-identification through indirect or quasi-identifiers like age, location, or rare traits. Sharing data without consent breaches ethical norms and legal protections, and storing data on unsecured servers creates a real risk of unauthorized access.

Protecting confidentiality when sharing data hinges on removing information that could identify participants. De-identification means stripping away direct identifiers like names, addresses, and contact details, and often replacing them with coded references that link back only to a secure key. This process lowers the risk that someone could trace data back to an individual, which is the central goal when sharing data for replication or secondary analyses. It allows valuable findings to be shared without exposing personal information, and it aligns with ethical and legal standards for privacy.

Other options fail because removing identifiers before publishing, while similar in intent, can leave room for re-identification through indirect or quasi-identifiers like age, location, or rare traits. Sharing data without consent breaches ethical norms and legal protections, and storing data on unsecured servers creates a real risk of unauthorized access.