Findable: Data and metadata should be findable and be assigned a globally unique and persistent identifier.
Accessible: Data and metadata is retrievable, as well as open, free and universally implementable.
Interoperable: Data can be integrated with other data and is interoperable with applications or workflows for analysis, storage, and processing.
Reusable: Data can be reused for other analyses, which requires richly describe data and metadata.
Collective Benefit: Data ecosystems shall be designed and function in ways that enable Indigenous Peoples to derive benefit from the data.
Authority to Control: Indigenous People's authority to control Indigenous data must be recognized and empowered.
Responsibility: Those working with Indigenous data have a responsibility to share how those data are used and support indigenous Peoples' self-determination and collective benefit.
Ethics: Indigenous People's rights and wellbeing should be the primary concern at all stages of the data life cycle and across the data ecosystems.
Research Data Alliance International Indigenous Data Sovereignty Interest Group. (September 2019). “CARE Principles for Indigenous Data Governance.” The Global Indigenous Data Alliance. GIDA-global.org (PDF)