Tribal Nations are leading efforts to care for land, water, and fire in ways grounded in Indigenous Data Sovereignty (IDSov) and the CARE Principles: Collective Benefit, Authority to Control, Responsibility, and Ethics. Many mainstream science tools and training programs are not designed with Tribal needs in mind. This creates barriers to Tribal-led Earth Data Science (TEDS).

We present a collaborative, open-source framework co-designed with Tribal partners to support TEDS. It helps communities analyze and manage environmental data through cloud-based, Python-powered tools that are modular, scalable, and reproducible. A core component is a data cube architecture hosted on open platforms like CyVerse and GitHub. This system supports integrated land, water, and fire analysis using workflows that are accessible to both technical and non-technical users.

The framework embeds IDSov into both technology and governance. It includes access controls and culturally meaningful metadata aligned with the CARE Principles. To support long-term use, we also offer training that helps interdisciplinary teams build, document, and share their own workflows and data products.

This work shows how co-designed, open geospatial science can advance Tribal self-determination, protect community knowledge, and support ethical, community-led environmental stewardship.