QC detects incorrect metadata despite clear images; return affected items and repeat inspection after correction.
QC and output quality
Verify completeness, image quality and metadata before acceptance.
Inputs and starting conditions
Scanned/reviewed batch, sampling or full-inspection plan, quality criteria and source manifest.
Workflow and control gates
- 01Plan QC
- 02Inspect images / pages
- 03Check metadata
- 04Reconcile physical–digital
- 05Independent sign-off
Check missing sides, legibility, order, classification and metadata; record the sample and inspection scope. Final approval is independent of output creation under project permissions.
Exceptions and recovery
Rework identifies objects, reasons and corrected outputs. An authorized waiver does not erase the defect; acceptance reports distinguish accepted and outstanding work.
Roles, outputs and states
| Responsibilities | Evidence and states |
|---|---|
| QC officers inspect; supervisors authorize waivers within delegated authority; an independent approver releases delivery; the owner accepts under the contract. | Plan/version, samples, inspection results, defects/rework, waivers and sign-off. States: checking → rework / QC passed; QC passed does not mean customer accepted or billable. |
Scenario and acceptance criteria
Complete only when
Results identify criteria, inspection scope, pass/fail portions and reinspection.
Interfaces for this workflow
Integration handoff
End-to-end integration workflows
Connect technical states to business decisions instead of merely listing endpoints.
Read detailsOpenAPI and Swagger Reference
The proposed contract is rendered from one local specification; no network Try-It or real credentials.
Read detailsErrors and next actions
A consistent error envelope guides recovery without disclosing sensitive data.
Read detailsContinue the workflow
Implementation, acceptance and handover
Bind implementation milestones to deliverables, approvers and inspected evidence.
Read detailsTwo journeys, one records lifecycle
Connect paper and born-digital records through persistent identifiers, policies and evidence.
Read detailsIntegration quickstart
Exercise ingest → job tracking → registration → verification with synthetic data.
Read detailsStart with a verifiable scope.
Agree record classes, quality criteria, permissions and evidence before scaling.
Plan assessment