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    Indigenous Data Sovereignty and Policy

    Proposal review

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    Contributor(s)
    Walter, Maggie (editor)
    Kukutai, Tahu (editor)
    Carroll, Stephanie Russo (editor)
    Rodriguez-Lonebear, Desi (editor)
    Language
    English
    Show full item record
    Abstract
    This book examines how Indigenous Peoples around the world are demanding greater data sovereignty, and challenging the ways in which governments have historically used Indigenous data to develop policies and programs. In the digital age, governments are increasingly dependent on data and data analytics to inform their policies and decision-making. However, Indigenous Peoples have often been the unwilling targets of policy interventions and have had little say over the collection, use and application of data about them, their lands and cultures. At the heart of Indigenous Peoples’ demands for change are the enduring aspirations of self-determination over their institutions, resources, knowledge and information systems. With contributors from Australia, Aotearoa New Zealand, North and South America and Europe, this book offers a rich account of the potential for Indigenous data sovereignty to support human flourishing and to protect against the ever-growing threats of data-related risks and harms.
    URI
    https://library.oapen.org/handle/20.500.12657/42782
    Keywords
    Development studies; Indigenous peoples
    DOI
    10.4324/9780429273957
    Publisher
    Taylor & Francis
    Publisher website
    https://taylorandfrancis.com/
    Publication date and place
    2021
    Imprint
    Routledge
    Series
    Routledge Studies in Indigenous Peoples and Policy,
    Classification
    Development studies
    Indigenous peoples
    Relating to Indigenous peoples
    Pages
    244
    Public remark
    Funder name: Native Nations Institute
    Rights
    https://creativecommons.org/licenses/by-nc-nd/4.0
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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