Reclaiming Data, Restoring Health: The Indigenous Biomedical Data Science Renaissance

Area of Science:

• Biomedical Data Science
• Indigenous Health Research
• Health Equity

Background:

• Indigenous Peoples are initiating a significant transformation in biomedical data science.
• This review highlights key advancements and leadership within this field.

Purpose of the Study:

• To review advancements in biomedical data science led by Indigenous Peoples.
• To synthesize core principles and teachings that advance the field.
• To provide considerations for stakeholders in biomedical data science.

Main Methods:

• Narrative review of advancements in four phases of biomedical data science: ethics, data harmonization, model development, and commercialization.
• Synthesis of five key teachings: Indigenous sovereignty, ethical stewardship, relationality and trust, community prioritization, and Indigenous worldviews.

Main Results:

• Highlights advancements from Indigenous leaders across the four phases of biomedical data science.
• Identifies five core teachings that advance biomedical data science.
• Outlines considerations for various stakeholders involved in biomedical data science.

Conclusions:

• Indigenous leadership is essential for a renaissance in biomedical data science.
• Adopting principles like Indigenous sovereignty and ethical stewardship can reshape global health systems.
• This approach promotes self-determination, balance, and well-being for all kin.