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

Oliver J Bear Don't Walk Iv1,2, Lauren W Yowelunh McLester-Davis3, Dornell Pete4

  • 11Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, Washington, USA;

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Summary
This summary is machine-generated.

Indigenous Peoples are driving innovation in biomedical data science, focusing on ethical research, data, and community well-being. Their leadership offers a new path for global health systems, moving beyond colonial practices towards self-determination and balance.

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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.