Data & preparation
Tracing the company data we propose to sell — Sell Our Data
ANSWER IN BRIEF
Record the origin, contribution history and transformations of the specific collection being offered. Make the history understandable without exposing unrelated internal access or credentials.
Separate company and external contributions
Identify which records came from the company’s own activity and which contain customer, supplier or licensed inputs. Record the source and the responsible team for each category. A common storage system can contain several origins, so one system label is not enough to describe the collection’s history.
Trace merges and migrations
Document significant changes between original records and the proposed export, including system migrations, joins and field mappings. Explain how identifiers preserve relationships across those steps. If a historical period has incomplete lineage, state that limitation instead of implying that the current database proves the full history.
Tie approvals to a version
Keep the disclosure decision separate from the transformation log, but connect both to the dataset version. An approval for one field set or recipient does not automatically describe a later expanded collection. Record who can clarify the scope when a buyer asks for additional fields or periods.
Prepare the buyer-facing history
Provide a concise origin and processing note with the agreed package. Retain detailed working evidence internally so later discrepancies can be investigated. If a correction changes the collection, issue a new version and explain its effect. Provenance supports an assessment; it does not itself grant rights to use the data.
Questions & answers
Is a clean audit trail enough to permit a sale?
No. Origin and processing history are separate from the rights and approvals for the proposed use.
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 data across company teams — Sell Our Data ↗Handing over the approved company dataset — Sell Our Data ↗Licensing our company data — Sell Our Data ↗Data licensing — Sell Our Data ↗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 Our Data. “Tracing the company data we propose to sell — Sell Our Data.” Content reviewed .
https://sellourdata.com/data-provenance/