Findable: Data should be easy to locate. Oftentimes, this utilizes metadata and unique identifiers
Accessible: Once the user finds data, accessibility is imperative. This often includes authorization and authentication.
FAIR Principles for Data Governance
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Reusable: Members who have access to the data can process it using available tools, allowing for reuse without erroneous conclusions
Interoperable: Data and information is formatted so that commonly available resources are sufficient for evaluation.
Authority to Control: Persons who have submitted their data should have control over it, and the ability to revoke their consent. Furthermore, all data should be handled with privacy in mind.
Collective Benefit: Data should be used to benefit society through innovation, governance and equitable outcomes
CARE Principles For Data Governance
Responsibility: Data Analyst, and anyone involved in data should be held responsible for their actions and research.
Ethics: Any data should be handled without bias, and discrimination