Indigenous Data Governance
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Data governance Data governance is a term used on both a macro and a micro level. The former is a political concept and forms part of international relations and Internet governance; the latter is a data management concept and forms part of corporate data govern ...
in the context of Indigenous data involves supporting the data interests, gaps and priorities of Indigenous peoples, in order to enable Indigenous self-determination. Generally, data governance refers to who has ownership, control and access over the use of data. Kukutai, T. and Taylor, J. (eds), Indigenous Data Sovereignty: Towards An Agenda. Australian National University Press, Canberra, p. 154 Indigenous data governance requires the data to surround Indigenous peoples and its purpose to reflect Indigenous needs and priorities, rather than omitting Indigenous peoples in the production of Indigenous data.


Overview

Indigenous data governance is key in enabling Indigenous self-determinism and rebuilding strong Indigenous nations. Oftentimes, Indigenous peoples do not have access to relevant Indigenous data. Currently in Canada, much information on Indigenous peoples are considered government data that fall under Crown copyright, limiting access to relevant data such as archeological sites that are of significance to Indigenous nations. Thus, Indigenous data that lacks strong data governance often misrepresent Indigenous peoples, help inform policies that have discriminatory impacts on Indigenous peoples, and uphold colonial practices.


Definition of Indigenous data

Indigenous data can include knowledge and information on census, health and other administrative data about Indigenous peoples, information on the environment, non-humans and resources, and information on cultural heritage such as oral histories, clan knowledge and cultural sites. Indigenous data be produced by Indigenous people, governments, other institutions, and corporations. In terms of rebuilding Indigenous nations, Indigenous data can be useful for tribal governments when making decisions about their resources and communities.


Indigenous data sovereignty

Companies and states often have the power in deciding what kind of data is produced and for what purposes.
Data sovereignty Data sovereignty is the idea that data are subject to the laws and governance structures of the nation where they are collected. The concept of data sovereignty is closely linked with data security, cloud computing, network sovereignty and technol ...
in the context of Indigenous data is about ensuring that Indigenous people have a say in the data that is produced about them, how this data is shared and the purpose behind sharing the data. Data sovereignty holds significance for Indigenous peoples, as marginalized groups of people, because it allows them to protect their land, cultural heritage and knowledge. Indigenous data sovereignty has received formal recognition from the United Nations through the United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP). UNDRIP was formed by the United Nations in 2007. UNDRIP provides a universal framework of human rights standards that should be met in relation to Indigenous peoples, in addition to existing human rights standards.


CARE principles

An early framework that addressed the lack of Indigenous peoples authority in the production of Indigenous data was the First Nations Principles of OCAP. More recently, The CARE principles of Indigenous data governance have been created by the Global Indigenous Data Alliance (GIDA 2019) as a framework for open data initiatives in incorporating Indigenous data sovereignty. The CARE principles are an extension of the FAIR principles of open data, which focus on increasing data sharing and data accessibility devoid of historical context and power dynamics. In contrast to the FAIR principles of open data, the CARE principles are people and purpose oriented rather than data oriented, and are rooted in Indigenous world views.


See also

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FAIR data FAIR data are data which meet principles of findability, accessibility, interoperability, and reusability (FAIR). The acronym and principles were defined in a March 2016 paper in the journal ''Scientific Data'' by a consortium of scientists and ...
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Open data Open data is data that is openly accessible, exploitable, editable and shared by anyone for any purpose. Open data is licensed under an open license. The goals of the open data movement are similar to those of other "open(-source)" movements ...


References

{{reflist Data protection Indigenous rights