Hena kiksuya mayanipte ye! ‘Remembering’ for Indigenous data, research, and spectrum sovereignty
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This research calls for epistemic justice where Treaty One, Oceti Sakowin, and the Red River Métis Nation can exercise rights over data, and research that is free from the constraints of settler colonial oversights and manipulation. This research stands alongside Indigenous research sovereignty scholars’ who provide the rationale for critiquing settler colonial infrastructures by placing rights-based frameworks at the forefront to advance the broader movement of Indigenous data sovereignty. I do this research through evaluation and analysis of settler-imposed policies in place-based context, referring to the University of Manitoba and administrations’ external influences, including the provincial and federal government. My thesis is rooted in the core methodologies of truth-telling, remembering, telling it straight, and takes a language revitalization approach to invoke collective memory and to assert Indigenous data, research, and spectrum sovereignty. I argue that language reflects place-based and nation specificities as dialects differ from nation to nation, place to place but also re-make relationality to data, law making, science, and technologies. Through the synchronized kinetic energy produced within this thesis, I identified a limitation of place-based and nation-specific infrastructures or collective collaboration, consent, and consensus with treaty and inherent rights holders of Treaty One, Oceti Sakowin, and the Red River Métis Nation at the University of Manitoba. By transmitting kinetic energy, this thesis contributes to the larger field of Critical Indigenous Studies through centering Anishinaabeg and Dakota Oyate ontologies, epistemologies, and methodologies to demonstrate nation-rebuilding practices of re-making relationality beyond and outside of colonial bounds that further Indigenous data, research, and spectrum sovereignty movements. My thesis is here to remind Indigenous Peoples to refuse the ongoing colonial harms, and colonial ideologies within data, and research ecosystems.