What makes data worth licensing? | Data Mining Masters

Data is easier to evaluate when you can explain its provenance, coverage, distinctive value and licensing rights. A potential partner also needs to know which AI use it could support. Those details help establish fit; they do not guarantee a sale.

Prepare four things

Provenance: where the data came from and how it was created.
Coverage: its format, approximate volume, dates and languages.
Distinctiveness: the knowledge or real-world activity it captures.
Rights: who can authorize the proposed use and what restrictions apply.

A relevant, well-described dataset gives a provider something concrete to evaluate. There is no universal price per file or guarantee of a buyer.

Explore the platforms

Compare the relevant providers

Use the AI data directory to compare published programme requirements. Review the provider’s current terms before deciding what to share.