> For the complete documentation index, see [llms.txt](https://openledger.gitbook.io/openledger/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://openledger.gitbook.io/openledger/datanets-and-proof-of-attribution/what-is-datanet.md).

# What is Datanet?

OpenLedger facilitates specialized data collection to enhance the training and fine-tuning of domain-specific AI models. The platform ensures data credibility, transparency, and contributor incentives through a decentralized data attribution mechanism.

### What is Datanets?

Datanets in OpenLedger refer to decentralized data networks that aggregate, validate, and distribute domain-specific datasets needed for each AI model training. They function as structured repositories where contributors provide high-quality data with verifiable attribution. These networks ensure a trustless and transparent mechanism for data contributions and access, enabling models to be trained with high-quality, validated data.