Granting agencies and publishers are increasingly requiring researchers to follow the FAIR Principles when sharing and publishing their research data. These guidelines are intended to improve the Findability, Accessibility, Interoperability, and Reuse of research data and other digital assets.
The following information is from the Fair Principles by GOFAIR:
Research data must be described with human and machine-readable metadata:
For more information about the FAIR Principles, visit GOFAIR, "FAIR Principles," https://www.go-fair.org/fair-principles/
The following is quoted from the 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.
Data ecosystems shall be designed and function in ways that enable Indigenous Peoples to derive benefit from the data for inclusive development and innovation, improved governance and citizen engagement, and equitable outcomes.
Indigenous Peoples’ rights and interests in Indigenous data must be recognised and their authority to control such data be empowered. Indigenous data governance enables Indigenous Peoples and governing bodies to determine how Indigenous Peoples, as well as Indigenous lands, territories, resources, knowledges and geographical indicators, are represented and identified within data.
Those working with Indigenous data have a responsibility to share how those data are used to support Indigenous Peoples’ self-determination and collective benefit. Accountability requires meaningful and openly available evidence of these efforts and the benefits accruing to Indigenous Peoples.
Indigenous Peoples’ rights and wellbeing should be the primary concern at all stages of the data life cycle and across the data ecosystem.