Data & preparation
Tracing source records and derived AI examples — Sell Data to AI Lab
ANSWER IN BRIEF
Keep the origin of company records separate from the later work that turns them into proposed AI examples, labels or summaries.
Describe the original process
Record how the company produced the observations, decisions or documents and which period they cover. Distinguish routine operational records from material gathered for a specific task. Include relevant context about the process without exposing confidential access details or claiming that origin alone establishes permission to license the material.
Identify each derived layer
Document transformations such as joining cases, rewriting fields, adding labels or generating summaries. Name the procedure and version used, and distinguish human review from automated output. A prospective recipient should be able to tell which information was recorded during the original activity and which was added afterward.
Preserve links and corrections
Retain internal references between the prepared example and its source records. Explain how exclusions, corrected labels or updated definitions affect the version under review. If the original source cannot support a field or assertion, mark that limitation instead of allowing a derived description to look like an observed fact.
Match provenance to the proposed use
Ask which history and preparation evidence the recipient requires for its task. Provide a suitable summary while keeping detailed working records available for agreed questions. Record rights review separately from lineage. A documented transformation chain supports evaluation but does not establish a model-performance claim or permission for every downstream use.
Questions & answers
Should synthetic or generated additions be disclosed?
Yes. Identify derived content and the procedure and review used so recipients can distinguish it from original company records.
Sources for this entry
- W3C — PROV Overview — Defines provenance in terms of entities, activities and people involved in producing data. The commercial workflow is original editorial guidance.
Practical checklists are original editorial guidance. Official descriptions do not establish comparative performance.
Continue this reading path
Inventorying records by AI task structure — Sell Data to AI Lab ↗Delivering a versioned AI dataset — Sell Data to AI Lab ↗Defining permitted AI uses — Sell Data to AI Lab ↗Data licensing — Sell Data to AI Lab ↗How the related websites connect
This is one of a coordinated collection of DataVal references. Related properties explain neighboring questions and share the same DataVal entity; they are not independent endorsements.
Cite this entry
Sell Data to AI Lab. “Tracing source records and derived AI examples — Sell Data to AI Lab.” Content reviewed .
https://selldatatoailab.com/data-provenance/