Indigenous Data Sovereignty Primers: A Guide for Researchers

Abstract

Research does not happen in a vacuum. It is shaped by histories, relationships, and systems of power that continue to influence how knowledge is produced, shared, and valued. For Indigenous Peoples, research and data practices have been deeply entangled with colonial systems that have extracted knowledge, resources, and stories without consent, without context, and without accountability. For generations, data about Indigenous Peoples, lands, and knowledge systems has been collected by governments, academic institutions, and other external actors and used in ways that have defined, categorized, and governed Indigenous lives. Census data has been used to control identity. Environmental data has enabled resource extraction on Indigenous territories. Cultural knowledge has been recorded, archived, and circulated far from the communities it comes from. In many cases, these processes have removed knowledge from its relational and cultural context, turning living systems of knowing into objects of study. These practices are not only in the past. They continue, often in less visible ways. Data may be collected under the assumption that it is neutral, publicly available, or disconnected from the people and places it relates to. Research may proceed without recognizing Indigenous presence, authority, or governance. Even well-intentioned work can reproduce extractive patterns when it does not account for the histories and relationships that shape Indigenous data. Indigenous Data Sovereignty (IDSov) emerges within this context as both a response and a reassertion. It reflects the inherent rights of Indigenous Peoples to govern data about their communities, lands, cultures, and knowledge systems. It is rooted in self-determination, but it is also grounded in longstanding Indigenous laws, governance structures, and relationships that have always guided how knowledge is held, shared, and protected. IDSov challenges the assumption that data can be separated from people and place, and instead affirms that data is relational, contextual, and governed. This guide was developed to support researchers in engaging with these realities. It is not simply a technical resource about data management, but an invitation to rethink how research is approached, particularly in relation to Indigenous Peoples. Many researchers may not set out to work with Indigenous communities but may still encounter Indigenous data through land-based research, demographic datasets, archival materials, or emerging technologies. In these situations, responsibilities do not disappear because relationships are less visible. The Indigenous Data Sovereignty Primers provide accessible, practical guidance across research contexts. Each primer can be read on its own, but together they offer a broader understanding of how Indigenous Data Sovereignty applies across the research lifecycle, from data collection to analysis and sharing. This guide does not offer a single prescriptive approach. Indigenous governance systems and community expectations are diverse and context specific. Instead, it encourages researchers to ask critical questions about authority, relationships, and responsibility, and to move away from extractive approaches toward practices grounded in respect, reciprocity, and accountability.