Format migration changes pagination; compare before/after and reject representations that lose selected significant properties.
Conversion and migration
Change formats or repositories while preserving source–target reconciliation, version lineage and exceptions.
Inputs and starting conditions
Source inventory, metadata mappings, format rules, manifests/checksums, policies and acceptance criteria.
Workflow and control gates
- 01Map
- 02Test run
- 03Compare source–target
- 04Approve run / checkpoint
- 05Validate and cut over
Conversion changes representations; migration changes environments/repositories under a plan. Retain source copies and lineage according to policy. Cutover follows validation, acceptance and an agreed rollback plan.
Exceptions and recovery
Mapping errors, unreadable files, checksum mismatches or interrupted jobs: checkpoint/resume valid portions, isolate defects and reconcile counts; job completion is not acceptance.
Roles, outputs and states
| Responsibilities | Evidence and states |
|---|---|
| Migration managers plan; owners approve; technicians run; QC compares source/target; acceptance authority permits cutover. | Mapping/version, test reports, checkpoints, validation, acceptance, cutover and evidence packages. States: draft → test → approved → running → validated → handed over. |
Scenario and acceptance criteria
Complete only when
Retain the source, version mapping and acceptance decision.
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
Integrity, provenance and evidence
Each evidence type answers a different question; hashes, timestamps and approvals are not interchangeable.
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