"FAIR" stands for Findability, Accessibility, Interoperability, and Reuse. These are guidelines for sharing data that have also been applied to research software and other non-traditional research outputs.
The FAIR Principles have subpoints detailing the technical ways in which these goals can be achieved. The best ways to make data FAIR are to create high-quality metadata and documentation. Even if you're using a data repository like Chapman Figshare that handles the creation of a permanent identifier (PID) and indexing, you can make your data more FAIR by filling out metadata forms thoroughly and using disciplinary data standards.
The CARE Principles for Indigenous Data Governance are both complementary to the FAIR principles and in tension with them. Indigenous sovereignty advocates say that the open data movement often bypasses the rights and interests of indigenous people to control data about them, their lands, and their traditional practices.
The CARE principles are: