Preparing a dataset for sale
A checklist for ownership, rights, coverage, provenance and quality before approaching a potential buyer.
Practical knowledge
Better questions.
More useful data.
Our guides explain how to prepare a dataset for possible sale, connect independent sources and define cleaning rules that can actually be tested.
Three useful starting points
Merging datasets without losing context
Schema mapping, source keys, uncertain matching and reconciliation for separate collections.
Data cleaning checklist
What to profile, standardise, validate and document before defining a cleaning engagement.
Which guide should you read first?
If you control a valuable dataset and are considering a transaction, start with the sale-preparation guide. If you have several collections or exports that describe overlapping entities, read the integration and provenance guide. If your main concern is inconsistent values or duplicate records, use the cleaning checklist.
These materials explain general methods. They are not legal advice, a guarantee of dataset value or a substitute for examining the actual records.
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