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Build a changelog tracker around three linked but distinct things: the human-readable change entry, the product or schema release it affects, and the exact sources that support it. Give each a stable identifier, preserve source revisions rather than relying on mutable URLs alone, and model provenance as relationships that retrieval systems can query. This keeps the changelog useful to developers while letting readers trace a retrieved statement back to its evidence.
What a changelog tracker needs to distinguish
A changelog is curated release communication, not a raw commit log. It is a chronological, version-associated list of notable changes, written to explain what matters to users or developers. Commit history can supply evidence for an entry, but it does not replace the entry itself. Keep a Changelog describes conventions for making that communication scannable; the Research Data Alliance’s Data Versioning Use Cases 1.3 (2025) reproduces its definition.
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Do not overload one version field to answer three separate questions: what record changed, what product or schema release the record concerns, and what version of the tracker’s own schema defines the record’s shape. The Citation File Format (CFF) separates its schema version from software or dataset release information and commit identifiers; Schema.org likewise has release snapshots and a schemaVersion property. See the CFF Schema Guide and Schema.org’s description of how it works.
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|---|---|---|
| Change entry | Which curated statement is this? | change_id |
| Product or schema release | Which released state or revision does it describe? | release_id, version, revision_id |
| Tracker schema | Which record contract defines these fields and rules? | schema_id, schema_version |
| Citation source revision | Which exact evidence version supports the statement? | source_id, source_version |
Model the change, release, and evidence as linked records
A practical tracker can start with four record types: a curated change entry, a release or revision, a source/citation record, and a provenance event. The fields below are a design recommendation synthesized from changelog conventions and provenance standards, not a schema prescribed by any one source.
Change entry
change_id: stable identifier for the curated entry.summary: concise, user-facing description of the change.change_type: controlled category such asAdded,Changed,Deprecated,Removed,Fixed, orSecurity; adapt the vocabulary to the project.status: for example,unreleasedorreleased.release_id: link to the release when one is assigned.affected_componentandimpact: identify what changed and the consequence for users or developers.source_revision_idsandcitation_ids: connect the entry to code, document, or schema revisions and to the source records substantiating it.authored_atandpublished_at: keep record creation distinct from release publication when both matter.
Release or revision
Represent releases separately with fields such as release_id, version, released_at, version_scheme, revision_id (for a commit or tag), and a stable URI where available. A previous_release_id or comparison link can make the interval between releases discoverable. State the versioning scheme rather than assuming consumers know it; Keep a Changelog explicitly recommends identifying whether a project uses Semantic Versioning and allows other schemes.
Source and citation record
A source record should have a stable local source_id, canonical_url, title, publisher or responsible agent, and publication or revision date when established. Preserve a source version, commit, tag, or dated snapshot when available. Link the citation to the claim it supports, qualifies, or contradicts instead of attaching a bare URL to an entire entry. If reproducible capture is a requirement, also record retrieved_at and optionally a content digest.
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A URL can point to a page that changes in place, so it may not identify the evidence version behind a past claim. W3C’s PROV-AQ: Provenance Access and Query discusses target URIs for individual revisions. Store revision identity alongside the canonical location; do not describe a mutable current page as an immutable snapshot.
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Provenance event
Represent provenance with relationships, not an opaque provenance blob on the change entry. Identify the entity created or changed, the activity that produced or modified it, the responsible agents, and any derivation from earlier entities. W3C PROV provides general-purpose concepts for these relationships, while its PROV-XML specification describes provenance as a record of people, institutions, entities, and activities involved in producing, influencing, or delivering data or a thing. Domain-specific extensions can add terms your tracker needs.
Make entries readable as well as retrievable
Use changelog conventions to make the human-facing layer easy to scan: keep an Unreleased section at the top, place the newest release first, show release dates, group entries by change type, and make release versions and sections linkable. Keep a Changelog recommends dates in YYYY-MM-DD format and says to state the project’s versioning scheme. Describe the noteworthy effect, not just the commit message.
The Google Cloud API Design Guide changelog offers a documentation example: dated entries record notable edits to the guide, including versioning-guidance changes and the addition of an API service-definition schema reference. A tracker can use this kind of readable presentation while keeping its richer identifiers and evidence links behind each entry.
Use a small, versioned core and explicit extensions
Treat the tracker schema as a maintained public interface. Keep the core fields stable, document validation rules and compatibility expectations, and define project-specific extensions explicitly with an owner and version policy. Preserve schema snapshots when reproducible interpretation of older records matters. Schema.org distinguishes named official releases from work in progress and provides dated snapshots for cases where precise versioning is important. PROV-XML demonstrates modularity by separating core elements from extension schemas.
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Design retrieval around stable identifiers
Support two access paths: direct retrieval when a client knows a provenance-record URI, and an indexed query service when it knows a target resource or other lookup information. PROV-AQ describes these patterns; choosing indexes on stable source and target identifiers plus revision identifiers is a practical implementation recommendation. This lets a client retrieve the evidence linked to a specific change without treating text search as proof of identity.
When a source changes in place, retain or record the cited revision so future readers can identify the evidence used at the time. A tracker may store the source’s revision URI, commit or tag, dated snapshot, or a captured copy with an integrity digest, depending on requirements and rights. The schema should state which approach it uses rather than implying that every URL is permanent.
Validate the design against the questions retrieval must answer
Before implementing a storage or indexing approach, test the schema against the questions the tracker needs to resolve. These checks assess design coverage, not a specific product or database.
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- Identity: Can a client distinguish the change record, source, release, schema version, and individual revision?
- Time: Are authored, published, released, and source-revision dates separate where their meanings differ?
- Evidence linkage: Can a retrieved statement be traced to claim-level citations and exact source revisions?
- Extensibility: Can teams add project-specific fields without changing the meaning of the shared core?
- Validation and compatibility: Can records be checked against the schema version that defined them, and can older records still be interpreted?
- Retrieval: Can clients fetch a known record directly and search by stable target, source, and revision identifiers?
- Trust assessment: Does a record preserve enough context about publisher, date, version, and evidence relationship to assess its authority and integrity?
Keep provenance separate from trust
Retrieval establishes that a provenance record can be found; it does not establish that the record or its claims are correct. W3C PROV-AQ warns that a provenance record is not inherently authoritative or correct. Assess the publisher, source date and version, integrity signals, and the relationship between each claim and its evidence. Provenance makes that assessment possible; it does not settle it.
Choose implementation details from project requirements
The provenance and changelog standards do not prescribe a programming language, storage engine, authentication model, retention period, or indexing technology for this tracker. Choose those from expected scale, compatibility guarantees, access controls, and retrieval workload. The schema’s job is to preserve enough stable identity and explicit relationships that those implementation choices do not erase what changed or why a retrieved claim should be believed.
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