
Treat pseudonymization as risk reduction
Names are not the only identifiers. Locations, occupations, rare events and combined details can still point to a participant.
Find unnecessary personal data, duplicates and unprotected temp files before vaulting pseudonymized transcript storage
A transcript has had names removed, yet it describes a rare diagnosis, a small workplace and a distinctive event. Those details may identify a participant when combined with public knowledge or other study records.
Protect the code key separately
A transcript and its re-identification key should not travel or rest together. Restrict the key to approved roles and document access.
- 01Mark direct identifiers before analysis begins.
- 02Review combinations of age, occupation, location, dates, relationships and unusual events.
- 03Generalize or suppress detail only when the approved analytic purpose can still be met.
- 04Create a version label that distinguishes raw, pseudonymized and disclosure-ready text.
- 05Have an authorized second reviewer check high-risk passages before sharing.
Leave evidence another custodian can follow
Record the de-identification method, reviewer, version, unresolved indirect identifiers and permitted audience. Do not describe a transcript as anonymous when a key or realistic re-identification route remains.
Pause and review when
- A reader from the participant community could readily infer the speaker.
- Free-text notes contain contact details or names not covered by the first pass.
- The code key is available to the same people receiving the transcript.
Encryption does not decide permitted research use
Does not replace provider permissions, guaranteed backup, password recovery or enterprise identity management. Pseudonymized data can remain sensitive, especially when indirect identifiers or a usable code key exist. Technical protection must sit inside the approved research workflow rather than replace it.
Questions to resolve before acting
Does removing names anonymize an interview?
No. Contextual and indirect details may still identify a participant, and a separately held code key makes the data pseudonymized rather than anonymous.
Should every unusual detail be deleted?
Not automatically. Removing too much can damage the research meaning. Use the approved purpose and a documented risk review to balance utility and exposure.
Sources for this decision
Links are selected for the question on this page, not to meet a link quota. They do not imply endorsement. Institutional, IRB, consent, legal and funder requirements control the actual study; this independent resource does not make an IRB or regulatory determination.