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dc.contributor.advisorWood, Danielle
dc.contributor.authorDoğan, Amelia Lee
dc.date.accessioned2024-01-16T21:51:42Z
dc.date.available2024-01-16T21:51:42Z
dc.date.issued2023-06
dc.date.submitted2023-07-12T20:56:59.560Z
dc.identifier.urihttps://hdl.handle.net/1721.1/153331
dc.description.abstractIndigenous data sovereignty is the right of tribes to own, control, and apply data about their lands, peoples, and resources. Although grassroots and academic definitions of Indigenous data sovereignty encompass the idea of tribal authority over environmental data, few sources provide case studies or theoretical background on how Indigenous data sovereignty can be operationalized in an environmental context. Through interviews with 3 Indigenous environmental activists and practitioners and an environmental case study with the Penobscot Nation, I explore how Indigenous data sovereignty is currently practiced in the environmental area. I analyze the findings using the CARE principles, a set of Indigenous data sovereignty and governance principles. From this, I find further environmental case studies for the development of environmental specific Indigenous data sovereignty guidelines are necessary. Additionally, I advocate for further detailing of rightsholder and stakeholder obligations in the CARE principles for better collaborative research.
dc.publisherMassachusetts Institute of Technology
dc.rightsIn Copyright - Educational Use Permitted
dc.rightsCopyright retained by author(s)
dc.rights.urihttps://rightsstatements.org/page/InC-EDU/1.0/
dc.title“Do you collect data to give to the university or do you do the work to benefit people?”: Indigenous Data Sovereignty in Environmental Contexts
dc.typeThesis
dc.description.degreeS.B.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Humanities
dc.contributor.departmentMassachusetts Institute of Technology. Department of Urban Studies and Planning
dc.identifier.orcidhttps://orcid.org/0009-0006-6540-231X
mit.thesis.degreeBachelor
thesis.degree.nameBachelor of Science in Urban Science and Planning with Computer Science


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