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dc.contributor.authorRainie, Stephanie Carroll
dc.contributor.authorSchultz, Jennifer Lee
dc.contributor.authorBriggs, Eileen
dc.contributor.authorRiggs, Patricia
dc.contributor.authorPalmanteer-Holder, Nancy Lynn
dc.date.accessioned2017-07-17T16:52:53Z
dc.date.available2017-07-17T16:52:53Z
dc.date.issued2017-04
dc.identifier.citationData as a Strategic Resource: Self-determination, Governance, and the Data Challenge for Indigenous Nations in the United States 2017, 8 (2) The International Indigenous Policy Journalen
dc.identifier.issn19165781
dc.identifier.doi10.18584/iipj.2017.8.2.1
dc.identifier.urihttp://hdl.handle.net/10150/624737
dc.description.abstractData about Indigenous populations in the United States are inconsistent and irrelevant. Federal and state governments and researchers direct most collection, analysis, and use of data about U.S. Indigenous populations. Indigenous Peoples' justified mistrust further complicates the collection and use of these data. Nonetheless, tribal leaders and communities depend on these data to inform decision making. Reliance on data that do not reflect tribal needs, priorities, and self-conceptions threatens tribal self-determination. Tribal data sovereignty through governance of data on Indigenous populations is long overdue. This article provides two case studies of the Ysleta del Sur Pueblo and Cheyenne River Sioux Tribe and their demographic and socioeconomic data initiatives to create locally and culturally relevant data for decision making.
dc.description.sponsorshipW.K. Kellogg Foundation; Morris K. Udall and Stewart L. Udall Foundationen
dc.language.isoenen
dc.publisherUNIV WESTERN ONTARIOen
dc.relation.urlhttp://ir.lib.uwo.ca/iipj/vol8/iss2/1/en
dc.rightsThis work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License. Copyright is held by the author(s) or the publisher. If your intended use exceeds the permitted uses specified by the license, contact the publisher for more information.en
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAmerican Indianen
dc.subjectAlaska Nativeen
dc.subjectIndigenousen
dc.subjectdataen
dc.subjectsovereigntyen
dc.subjectgovernanceen
dc.titleData as a Strategic Resource: Self-determination, Governance, and the Data Challenge for Indigenous Nations in the United Statesen
dc.typeArticleen
dc.contributor.departmentUniv Arizonaen
dc.identifier.journalThe International Indigenous Policy Journalen
dc.description.noteOpen Access Journal.en
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en
dc.eprint.versionFinal published versionen
refterms.dateFOA2018-09-11T21:16:15Z
html.description.abstractData about Indigenous populations in the United States are inconsistent and irrelevant. Federal and state governments and researchers direct most collection, analysis, and use of data about U.S. Indigenous populations. Indigenous Peoples' justified mistrust further complicates the collection and use of these data. Nonetheless, tribal leaders and communities depend on these data to inform decision making. Reliance on data that do not reflect tribal needs, priorities, and self-conceptions threatens tribal self-determination. Tribal data sovereignty through governance of data on Indigenous populations is long overdue. This article provides two case studies of the Ysleta del Sur Pueblo and Cheyenne River Sioux Tribe and their demographic and socioeconomic data initiatives to create locally and culturally relevant data for decision making.


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This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License. Copyright is held by the author(s) or the publisher. If your intended use exceeds the permitted uses specified by the license, contact the publisher for more information.
Except where otherwise noted, this item's license is described as This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License. Copyright is held by the author(s) or the publisher. If your intended use exceeds the permitted uses specified by the license, contact the publisher for more information.