The CARE principles, developed by the Global Indigenous Data Alliance (GIDA), reflect the crucial role of data in advancing Indigenous innovation and self-determination. They ensure that data movements like the open data movement, whatever they're advocating and pursuing, respect the people and purpose behind the data.
+Data ecosystems shall be designed and function in ways that enable Indigenous Peoples to derive benefit from the data.
+Indigenous Peoples' rights and interests in Indigenous data must be recognised and their authority to control such data be empowered.
+Those working with Indigenous data have a responsibility to share how those data are used to support Indigenous Peoples' self-determination and collective benefit.
+Indigenous Peoples' rights and wellbeing should be the primary concern at all stages of the data life cycle and across the data ecosystem.
+In 2016, the 'FAIR Guiding Principles for scientific data management and stewardship' were published in the open-access journal, Scientific Data. The authors intended to provide guidelines to improve the Findability, Accessibility, Interoperability, and Reuse of digital assets.
+The principles are set out in full on the GO FAIR website. ARDC also offers comprehensive information and training. The FAIR Principles refer to three types of entities: data, metadata and infrastructure.
+Metadata and data should be easy to find for both humans and computers.
+Once data is found, access information needs to be clearly indicated on the metadata.
+The data should be able to be integrated with other data.
+Metadata and data should be well-described so that they can be replicated and/or combined in different settings.
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