Data provenance
The documented history of a dataset, including its origin, the legal basis or license covering its collection and use, the chain of custody from origin to your system, the transformations applied along the way, and whether a written record (such as a datasheet) travels with it. Strong provenance can answer, for every meaningful part of a dataset, where it came from and under what permission.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in AI Governance: Applied Mastery.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
The documented history of a dataset, including its origin, the legal basis or license covering its collection and use, the chain of custody from origin to your system, the transformations applied along the way, and whether a written record (such as a datasheet) travels with it. Strong provenance can answer, for every meaningful part of a dataset, where it came from and under what permission.
A documented record of a data source's origin, legal basis for collection or use, and entry point into a data pipeline. Required under GB/T 45652-2025 for training and fine-tuning data.
Where it is taught
The exact lessons this term appears in. The first 7 topics of every program are free with a free account.
- Auditing your own data: provenance, gaps, and quiet poison · Data Reality, AI Governance: Applied Mastery
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.