What Is a Data Sample? What AI Buyers Want to See Before a Licensing Deal
By Andrew Smart, founder of MON$TER · About
A data sample is a small, cleaned slice of a larger dataset that a buyer reviews before agreeing to a licensing deal. It answers one question: does the real data match the description? It is not the deal itself, and it should never be your full dataset.
What a good sample shows
- The real structure: the same fields and formats as the full dataset
- Typical records: a fair mix, not only your cleanest rows
- Coverage: a spread of dates so the buyer can see history and consistency
- Quality: how complete the fields are and how often values are missing
Most samples come with a data dictionary so the buyer understands every field.
What stays out
Every sample must have personal information removed first, exactly like the full dataset. Leave out anything your customer or partner contracts treat as confidential. See what counts as PII. Don't send a sample to anyone you haven't vetted.
When to share it
Usually after a buyer has read your dataset description and shown real interest, and only under a confidentiality agreement. Samples are often shared inside a data room so access is controlled and logged. A buyer who asks for a large sample up front, before any agreement, is a warning sign. This is general information, not legal advice.
How big should it be?
Big enough to judge quality, small enough to have no real value on its own. The right size depends on the data and the buyer, so agree on it case by case rather than sending more than needed.
More terms in the glossary and the full process in how to license your data step by step. Start at Business Data.