Can I Use This Data Commercially?

Publicly available does not automatically mean commercially reusable.

This 42-page due-diligence handbook gives AI developers, researchers, founders and data-product builders a structured way to investigate licensing before a dataset, repository, paper, model or API becomes embedded in a commercial product.

It covers source identification, licence evidence, commercial use, redistribution, modification, attribution, API-specific terms, transformations, provenance records and ambiguous rights.

Most importantly, the method treats UNKNOWN as a legitimate professional conclusion. If permission cannot be evidenced, the book does not encourage you to invent it.

Includes practical decision frameworks, common licensing mistakes, evidence tables, transformation records and review templates. This is an information-management and due-diligence tool, not legal advice.