# Data provenance explained

URL: https://aidataforsale.com/learn/data-provenance-explained
Publisher: AI Data For Sale (Marketing Signals Ltd)
Updated: 2026-11-10

What data provenance means for AI training data, which records buyers need, and how provenance supports training data disclosure under AB 2013 and the EU AI Act.

Author: Gareth Hoyle
Audience: Both

## In short

- Data provenance is the documented history of a dataset: who created it, how it was collected, under what terms, and what was done to it.
- Buyers need provenance to defend their use of data and to meet training data disclosure rules.
- A dataset card or manifest records provenance in a format both sides can check.
- Researchers auditing public AI datasets have found widespread gaps in license and source information.

## What provenance covers

- **Origin:** the systems and people that created the data
- **Collection:** when, how and under what notice or consent
- **Rights:** ownership and license basis for each part
- **Processing:** cleaning, de-identification, filtering and labeling steps
- **Chain of custody:** who has held copies since

## Why it matters now

Training data transparency rules require developers to describe their datasets. California AB 2013 requires disclosure of training data sources, including whether data was purchased or licensed ([LegiScan](https://legiscan.com/CA/text/AB2013/id/2910882)). The EU AI Act sets transparency duties for general-purpose AI models ([European Commission](https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai)). The Data Provenance Initiative has audited licenses and sources of widely used AI datasets ([Data Provenance Initiative](https://www.dataprovenance.org/)).

## How to document it

The "datasheets for datasets" approach proposes that every dataset ship with documentation of motivation, composition, collection, processing, uses and distribution ([Gebru et al.](https://arxiv.org/abs/1803.09010)). A data manifest with per-record rights flags is the practical version for licensing. See [how to build a data manifest](https://aidataforsale.com/learn/how-to-build-a-data-manifest).

## Questions

### Who is responsible for provenance, buyer or seller?

Both. The seller documents origin and rights; the buyer keeps records of what they acquired and how it was used.

## Sources

- [LegiScan: California AB 2013, Generative artificial intelligence training data transparency](https://legiscan.com/CA/text/AB2013/id/2910882)
- [European Commission: AI Act regulatory framework](https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai)
- [Data Provenance Initiative](https://www.dataprovenance.org/)
- [Gebru et al.: Datasheets for Datasets (Communications of the ACM)](https://arxiv.org/abs/1803.09010)