Issues in open data: Indigenous data sovereignty Edit

Its been ten years since open data first broke onto the global stage. Over the past decade, thousands of programmes and projects around the world have worked to open data and use it to address social and economic challenges. Meanwhile, issues related to data rights and privacy have moved to the centre of public and political discourse. As the open data movement enters a new phase in its evolution, shifting to target real-world problems and embed open data thinking into other existing or emerging communities of practice, big questions still remain. One of these discourses is on Indigenous Data Sovereignty (IDS) which refers to the right of Indigenous people to control data from and about their communities and lands.

This chapter of the book “The State of Open Data: Histories and Horizons” deals with the topic of IDS. It has emerged as an important topic over the last three years, raising fundamental questions about assumptions of ownership, representation, and control in open data communities. Ideas from IDS provide a challenge to dominant discourses in open data, questioning current approaches to data ownership, licensing, and use in ways that resonate beyond Indigenous contexts, drawing attention to the power and post-colonial dynamics within many data agendas.

Persistent URI: http://195.37.32.58:4001/resources/issues-in-open-data-indigenous-data-sovereignty
DOI: https://www.scienceopen.com/hosted-document?doi=10.47622/9781928331957
License Creative Commons Attribution 4.0 (CC BY 4.0)
BibTeX
@incollection{tim_davies_issues_2019,
	title = {Issues in open data: {Indigenous} data sovereignty},
	copyright = {https://creativecommons.org/licenses/by/4.0/},
	url = {https://scienceopen.com/hosted-document?doi=10.47622/9781928331957},
	urldate = {2024-05-13},
	booktitle = {The {State} of {Open} {Data}: {Histories} and {Horizons}},
	publisher = {African Minds and IDRC},
	author = {Rainie, S.C. and Kukutai, T. and {M. Walter} and {O.L. Figueroa-Rodríguez} and {J. Walker} and {P. Axelsson}},
	collaborator = {{Tim Davies} and Walker, Stephen B and Rubinstein, Mor and Perini, Fernando},
	year = {2019},
	doi = {10.47622/9781928331957},
	pages = {300--319},
}
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