Data decolonization

Data Decolonization

Data decolonization is the process of divesting from colonial, hegemonic models and epistemological frameworks that guide the collection, usage, and dissemination of data related to Indigenous peoples and nations, instead prioritising and centering Indigenous paradigms, frameworks, values, and data practices. Data decolonization is guided by the belief that data pertaining to Indigenous people should be owned and controlled by Indigenous people, a concept that is closely linked to data sovereignty. Data decolonization is linked with the concpet of decolonization of knowledge.

Data decolonization seeks to counter the negative narratives that are reinforced by the colonial data practices that persist in a post-colonial era.

History of Data Colonization

In various colonial states, data was used to identify Indigenous peoples using Western classification systems, leading to erasure of Indigenous identities, and the origin of narratives that focus on disadvantages in Indigenous communities. The values that guide Western data practices, such as universalism, homogeny etc. diverge from Indigenous values such as principles that value diversity and valuing the individual viewpoints of the subject [cite sport]

Data Decolonization in Practice

Research

Researchers seek to engage in research that is holistic and grounded in Indigenous culture

Museums

Databases

Healthcare

Decolonizing data in healthcare involves reforming healthcare infrastructure and policies to prioritise Indigenous peoples. Current healthcare data structures collect, store, and use data about Indigenous peoples without necessarily consulting the input of Indigenous peoples recreating power dynamics that have previously led to the harm of Indigenous peoples. Decolonizing such structures would put control over healthcare-related data and the use of that data into the hands of Indigenous peoples.

Palestinian Public Health scholar, Danya Qato outlined some principles to guide the creation of decolonized healthcare data systems.

Centering Community

Centering the concerns and opinions of Indigenous peoples at all levels.

Diversity

Ensuring that opinions, and decision-making are sourced from various Indigenous communities, rather than a few tokens.

Transparency

Building complete awareness of how data is collected, aggregated, and used in Indigenous communities.

Consent

Prioritising the informed consent of Indigenous peoples, informing them of all actions that are taken with their data.

Concrete Action

Action that focuses on producing real-world results for Indigenous peoples.

Also look at

Indigenous Decolonization