The withdrawal unit is the interview
OpenVerbatim treats participant withdrawal as an interview-level action. The interview is removed with its transcript text, coding evidence, review records, disputes, and share items.
Deletion receipts
Research data deletion should not leave fragments of a withdrawn interview in transcript rows, coding evidence, public shares, or audio storage.
Product facts
The product behavior is local and concrete: remove the interview, scrub content-bearing history, and keep a record that the action happened.
OpenVerbatim treats participant withdrawal as an interview-level action. The interview is removed with its transcript text, coding evidence, review records, disputes, and share items.
When the withdrawn source has a local storage key, the server resolves the file path and deletes the stored audio object. A missing file is handled as an idempotent deletion case.
The system writes a withdrawal audit event with the actor and a non-verbatim source reference, so reviewers can see that withdrawal was processed without preserving the interview text.
Receipt flow
A useful record has to show that withdrawal was honored without making the withdrawn interview recoverable through another table or log.
Before erasure, OpenVerbatim can summarize transcript utterances, coding instances, share items, and share links tied to the source.
The interview deletion removes downstream transcript, coding, quote, and share records that depend on that interview.
Historic audit records that may contain verbatim material are replaced with a tombstone marker that records consent withdrawal without retaining the words.
A new audit event records that the source was withdrawn and who initiated the action.
Interview data can carry participant identity even when names are absent. OpenVerbatim's withdrawal behavior is built around that risk: a participant's withdrawal removes the source record and the analysis records that depend on it.
The page uses deletion receipt in the operational sense. It means the system can show that a withdrawal action was processed and what scope was affected. It does not claim legal compliance for a study, institution, or jurisdiction.
Some audit events are historical facts: a suggestion was created, a decision happened, a public share was prepared. If those payloads include withdrawn interview content, OpenVerbatim replaces the payload with a consent-withdrawn tombstone instead of keeping the quote.
Related trust pages
OpenVerbatim entity
OpenVerbatim is an open-source (Apache-2.0) qualitative data analysis platform for coding and analyzing interview transcripts. AI-suggested codes stay marked as suggestions until a human reviewer confirms or rejects them, and every decision is kept in an audit trail. The full feature set is available when self-hosted; there is no paid feature wall.
FAQ
OpenVerbatim handles the withdrawal at the interview level. The source and its dependent transcript, coding, quote, and share records are deleted.
It keeps a reviewable audit record that the withdrawal action occurred, including the actor and affected scope returned by the withdrawal endpoint. It does not claim a cryptographic deletion proof.
Historic audit rows remain as skeleton records where needed, but content-bearing payloads tied to the withdrawn interview are tombstoned so the participant's words are no longer retained there.
Yes. Share items tied to the withdrawn interview are deleted. Share links that become empty are revoked, and public access returns a stopped-sharing response.
Try the evidence loop
OpenVerbatim keeps the deletion action reviewable while removing the withdrawn interview from analysis and sharing surfaces.