Sharing starts from confirmed excerpts
The composer filters to confirmed coding instances. Server validation rejects non-confirmed instances when a share link is created.
Redacted sharing
Qualitative research sharing should expose only the excerpt a researcher approved, not the transcript, source file, or hidden fields around it.
Product facts
The share workflow starts closed. Excerpts become public only after confirmation, preview, and a row-level sharing decision.
The composer filters to confirmed coding instances. Server validation rejects non-confirmed instances when a share link is created.
The reviewer chooses masking, exclusion, or original-text publication for each excerpt before generating the link.
The serializer exposes title, branding preference, counts, and selected item fields only. Source IDs, audio URLs, storage keys, and raw utterance fields stay out of the public response.
Redaction choices
The reviewer can make sensitive text safer, keep the row private, or publish the original only after confirming consent.
The reviewer can replace sensitive words with safer text before the excerpt enters the public share.
The reviewer can remove a selected excerpt from the share rather than trying to make it safe.
Original-text publication requires a consent declaration. That confirmation is written as an audit event without storing the quote in the consent payload.
OpenVerbatim does not treat a public share as a view of the private workspace. The author selects confirmed excerpts, reviews each row, and then generates a read-only public link.
That public response is intentionally small. It contains the share title, display counts, and approved excerpt fields. If a new private field is later added to the application, it does not become public unless the serializer is changed to expose it.
A revoked link stops public access. A participant withdrawal goes further: share items tied to that interview are deleted, and a link with no remaining excerpts is revoked automatically.
Related trust pages
Withdrawn interviews are removed from analysis records and public share items.
methods disclosureDraft methods disclosure text from author-selected project fields.
trust overviewSee how review decisions, audit events, and sharing controls fit together.
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 shares only selected, confirmed excerpts. Each excerpt must be masked, excluded, or explicitly approved for original-text publication before the link is generated.
No. The public serializer uses a field whitelist for share pages. It does not expose source IDs, audio URLs, storage keys, or raw transcript fields.
Yes. Authors can revoke a share link. Public access then returns a stopped-sharing response.
Share items tied to the withdrawn interview are deleted through source-level withdrawal. Links that have no remaining items are revoked.
Try the evidence loop
OpenVerbatim keeps public sharing behind confirmation, redaction preview, field whitelisting, and revocable links.