Mozilla Data Collective is a data-sharing platform that enables organizations and individuals to publish datasets while retaining control over pricing, access, and licensing. The platform supports open-source, community-governed, or compensated sharing models, with revenue flowing directly back to data rights holders. It curates diverse datasets from communities worldwide to support AI development built on consent and clear provenance.
Funding
Funding not disclosed
Founders
Product
Problem
AI development relies on diverse, high-quality datasets, but current data-sharing models often extract value from contributors without fair compensation or meaningful control. Many organizations and communities lack a platform that lets them share data on their own terms while maintaining ownership and governance over how it is used.
Solution
Mozilla Data Collective provides a data platform that prioritizes people over extraction, allowing uploaders to share datasets as open source, community-governed, or compensated. Rights holders set the price, access conditions, and usage terms, and when compensation is chosen, every download sends revenue directly back to the dataset creators. Downloaders gain access to datasets with clear provenance and licensing, enabling them to build AI systems with consent at their core. The platform is designed for organizations, communities, and individuals who want to share data without giving up control, while supporting a growing collection of unique datasets from around the world.
Target Audience
Primary users are organizations and communities—including tech startups, libraries, archives, and global non-profits—that want to share datasets in line with their values, as well as teams and builders who need trustworthy, consent-based data for AI development.
Features
- Flexible sharing models: open-source, community-governed, or price-set compensation options
- Direct revenue distribution: every download sends money straight to the dataset rights holders
- Granular access control: uploaders set pricing, access conditions, and usage permissions
- Clear provenance and licensing: downloaders can verify dataset origins and terms for trustworthy AI development
- Mission-locked governance: platform operations are aligned with Mozilla's not-for-profit values, prioritizing ethical data exchange