Whose Blood, Whose Genome? Why NIH's Indigenous Data Sovereignty Policy Cannot Settle for Merely "Listening"
Original Chinese title: 一管血、一份基因,究竟屬於誰?NIH 原住民族資料主權政策不能只停在「聽取意見」
The US National Institutes of Health (NIH) has engaged in formal tribal consultations regarding Indigenous data sovereignty and the All of Us Research Program. For decades, biomedical research privileged individual informed consent while disregarding the collective cultural and biological stakes of tribal nations. This analysis examines the institutional gap between informal listening sessions and binding government-to-government consultations, interrogates secondary commercial data usage under the CARE Principles, and draws vital comparative lessons for Taiwan's Indigenous health data governance.
雙向知識實驗室
Co-authors: 陳錦瑜, 欣賞文化多樣性, 發展聯合國 SDGs 全球公民意識及建立永續的全球夥伴關係
Dedicated to complementary governance between Indigenous traditional knowledge and contemporary science, exploring practical pathways for Two-Eyed Seeing in ecological conservation, resource management, and data sovereignty.

# Whose Blood, Whose Genome? Why NIH's Indigenous Data Sovereignty Policy Cannot Settle for Merely "Listening"
In the rapid contemporary development of biomedicine and genomics, a vial of blood, a tissue sample, or a sequenced genetic fragment is routinely treated by scientific institutions as an invaluable asset for unlocking pathological mechanisms and developing targeted therapeutics. However, when these biological specimens originate from Indigenous individuals, a fundamental legal and ethical dilemma inevitably arises: does this genetic material—carrying ancestral lineages, cultural identities, and collective communal memories—belong exclusively to the individual participant who signed a consent form, or does it belong to the sovereign Indigenous nations and communities that nurtured their existence?
For decades, biomedical research ethics rooted in Western individualist philosophy has privileged individual autonomy and personal informed consent as the sole pillars of ethical legitimacy. Investigators have operated under the assumption that obtaining a single written signature grants unencumbered legal authority to incorporate biological samples into massive human biobanks for cross-disciplinary, intergenerational, and commercial utilization. Yet, this atomized individualist framework reveals profound governance vacuums when confronted with the collective sovereignty and historical traumas of Indigenous peoples. Recent policy dialogues initiated by the US National Institutes of Health (NIH) regarding Indigenous data sovereignty vividly highlight this structural tension between individual rights and collective self-determination.
From Listening Sessions to Government-to-Government: The Chasm Between Symbolic Input and Substantive Power
According to the latest progress reports released by the NIH Tribal Health Research Office Tribal Data Sovereignty Consultation, federal agencies are reevaluating their mechanisms for collecting, storing, and managing Indigenous health data. Nevertheless, tribal leadership and legal scholars have repeatedly emphasized that federal institutions have historically conflated informal listening sessions with legally binding consultations. In conventional listening sessions, administrative officials passively document Indigenous testimony and file it away without any statutory obligation to translate tribal concerns into enforceable regulations, nor do such forums confer veto authority over extractive research protocols that jeopardize communal welfare.
Substantive Indigenous data sovereignty demands an institutional shift from unilateral listening to formal government-to-government tribal consultations between sovereign federal entities and federally recognized tribal nations. As officially promulgated in the Federal Register Notice on NIH Tribal Consultations, formal consultation is a structured legal process requiring federal leadership to negotiate on an equal, sovereign-to-sovereign footing with elected tribal leaders before enacting major biomedical research policies. Such frameworks must embed collective consent, cultural safety agreements, and tribal data stewardship into binding institutional statutes.
Tribal leaders participating in these consultations have sternly cautioned that current federal draft notices represent an ongoing consultative process and must not be misinterpreted as enacted or finalized protections. If federal policies merely provide procedural avenues for voicing grievances without granting tribes enforceable control over data pipelines, intellectual property, and downstream re-licensing, tribal consultations risk devolving once again into administrative rituals that merely legitimize extractive scientific agendas.
The Ambition of All of Us Colliding with Collective Genomic Sovereignty
The epicenter of this sovereignty contest is the All of Us Research Program, a flagship precision medicine endeavor spearheaded by the NIH. The program seeks to assemble the largest and most diverse biomedical cohort in United States history, aiming to recruit more than one million individuals from historically underrepresented backgrounds to gather whole-genome sequencing (WGS), electronic health records (EHR), and continuous lifestyle telemetry.
However, as meticulously documented in the NIH All of Us Research Program Second Tribal Consultation Report, tribal governments harbor profound reservations regarding the recruitment methodology of All of Us. The central conflict stems from the reality that even when Indigenous individuals residing in urban centers or off-reservation municipalities provide personal informed consent, their individual genomes inherently contain lineage-specific markers and population variants shared with their wider tribal nations. Once such genetic data is uploaded to globally accessible scientific repositories, downstream population-level findings—whether describing genetic disease predispositions or contesting tribal origin histories—inevitably impact the collective reputation, healthcare access, and political sovereignty of the entire community.
The history of Indigenous engagement with biomedical research is scarred by extractive exploitation. The most prominent precedent remains the Havasupai Tribe lawsuit against Arizona State University: tribal members provided blood samples intended exclusively for diabetes genetic research, only to discover years later that researchers had repurposed their biological specimens for unauthorized studies on schizophrenia, inbreeding, and population migration theories that directly contradicted tribal sacred creation traditions. If large-scale genomic repositories recruit urban tribal members without obtaining collective approval from recognized tribal councils, they risk perpetuating digital biocolonialism under the modern guise of open science.
The CARE Principles and Dilemmas in Secondary Data Governance
In response to the widely adopted FAIR principles (Findable, Accessible, Interoperable, Reusable), which primarily serve the interests of data-consuming scientific institutions, the Global Indigenous Data Alliance (GIDA) articulated the CARE Principles for Indigenous Data Governance: Collective benefit, Authority to control, Responsibility, and Ethics.
Within the NIH Tribal Health Research Office Tribal Data Sovereignty Consultation, the CARE Principles have served as the foundational intellectual benchmark for tribal negotiators. Indigenous scholars highlight the severe structural inequities embedded in contemporary biomedical repositories: while Indigenous communities contribute irreplaceable biological materials and clinical histories, downstream financial windfalls—including patented pharmaceuticals, diagnostic panels, and machine-learning algorithms—are monopolized by private corporations and academic patent holders. Concurrently, reservation communities continue to endure severe chronic disease disparities and underfunded clinical services.
Furthermore, critical dilemmas surround secondary data usage and downstream commercial re-licensing. Conventional bioethics often presumes that algorithmic de-identification renders data ethically neutral and freely distributable. Yet in small, genetically distinct Indigenous populations, computational re-identification remains an acute risk. The CARE framework mandates that any secondary research proposal targeting Indigenous population genetics must return to Tribal Institutional Review Boards (TIRBs) for re-authorization, establishing transparent benefit-sharing agreements that direct commercial royalties back into community-governed health infrastructure.
Two-Eyed Seeing and Cross-Cultural Educational Pathways
Dismantling extractive biomedical research requires embedding the concept of Two-Eyed Seeing (Etuaptmumk), conceptualized by Mi'kmaw Elder Albert Marshall. This philosophical approach advocates viewing the world through one eye with the strengths of Indigenous traditional knowledges, through the other eye with the strengths of Western sciences, and learning to use both eyes together for the collective benefit of all living beings.
In biomedical governance, Two-Eyed Seeing requires researchers to view tribal communities not merely as suppliers of biological raw materials, but as sovereign intellectual partners and co-custodians of scientific inquiries. This demands structural reform within academic institutions: university medical centers and engineering faculties training computational biologists, algorithm developers, and clinical investigators must integrate cultural safety assessments, Indigenous data ethics, and United Nations Sustainable Development Goals (SDGs) regarding equitable global partnerships.
By uniting cross-cultural education with scientific stewardship, researchers learn cultural humility, recognizing that behind every sequenced genome lies an intricate tapestry of kinship, cultural survival, and sacred stewardship. Only when scientific innovation respects tribal self-determination can genomic medicine transcend historic exploitation and genuinely contribute to closing health equity disparities.
Comparative Insights and Policy Imperatives for Taiwan
Reflecting upon Taiwan's biomedical ecosystem, Indigenous health data governance encounters strikingly similar institutional crossroads. Taiwan possesses a world-renowned National Health Insurance (NHI) research database and the Taiwan Biobank, serving as core engines for biomedical data science. Furthermore, Article 21 of the Indigenous Peoples Basic Act explicitly mandates that government agencies and private entities conducting academic research on Indigenous lands or adjacent traditional territories must consult and obtain prior collective consent from relevant tribal communities.
Nevertheless, institutional implementation of Article 21 within Taiwanese biomedical research has frequently been reduced to procedural box-checking. Many genomics initiatives recruit Indigenous participants within metropolitan tertiary hospitals, relying entirely on individual patient consent forms to circumvent formal consultations with tribal councils. In studies investigating group-specific disease traits, researchers often replace tribal political identities with administrative geographical classifications, disenfranchising tribal communities from exercising collective oversight over their genetic heritage.
Drawing from international tribal consultation proceedings, Taiwan must implement three pivotal institutional reforms:
First, establish a dedicated statutory Indigenous Health Research Ethics Committee. Regulatory agencies should establish a review board composed of a verified majority of Indigenous scholars, legal experts, elders, and community representatives, endowed with statutory veto authority over research protocols involving Indigenous genomics, traditional medicines, and health databases.
Second, strictly distinguish individual informed consent from collective sovereign authorization. Any research project exploring Indigenous population genetics, migratory genealogies, disease susceptibility, or commercial bioprospecting must secure formal collective resolutions from authorized tribal councils, prohibiting investigators from bypassing tribal sovereignty via individual consent forms.
Third, institutionalize robust benefit-sharing and collective data withdrawal mechanisms. Mirroring the CARE Principles, national biobank frameworks must mandate transparent royalty-sharing protocols that channel a fixed percentage of commercial licensing revenue into tribal health funds. Simultaneously, Indigenous communities must retain absolute, legally protected rights to withdraw collective genomic data and supervise the physical destruction of stored biological specimens without bureaucratic obstruction.
A tube of blood and a sequenced genome carry value far transcending laboratory chemical reagents; they embody the cultural lineage and collective future of human communities. As biomedical sciences navigate the frontiers of artificial intelligence and high-throughput sequencing, investigators must uphold this fundamental truth: scientific advancements devoid of justice, sovereignty, and dignity cannot yield genuine health and human liberation.
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