- 1Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, United States
- 2Native Nations Institute, Udall Center for Studies in Public Policy, University of Arizona, Tucson, AZ, United States
- 3Law Library, School of Law, University of South Carolina, Columbia, SC, United States
- 4Te Kotahi Research Institute, University of Waikato, Hamilton, New Zealand
- 5Center for Human Development, College of Health, University of Alaska Anchorage, Anchorage, AK, United States
- 6Institute for Society and Genetics, College of Letters and Sciences, University of California, Los Angeles, Los Angeles, CA, United States
- 7Institute for Precision Health, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
- 8Division of General Internal Medicine & Health Services Research, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States
Indigenous Peoples have historically been targets of extractive research that has led to little to no benefit. In genomics, such research not only exposes communities to harms and risks of misuse, but also deprives such communities of potential benefits. Tribes in the US have been exercising their sovereignty to limit this extractive practice by adopting laws and policies to govern research on their territories and with their citizens. Federally and state recognized tribes are in the strongest position to assert research oversight. Other tribes lack the same authority, given that federal and state governments do not recognize their rights to regulate research, resulting in varying levels of oversight by tribes. These governance measures establish collective protections absent from the US federal government’s research oversight infrastructure, while setting expectations regarding benefits to tribes as political collectives. Using a legal epidemiology approach, the paper discusses findings from a review of Tribal research legislation, policy, and administrative materials from 26 tribes in the US. The discussion specifies issues viewed by tribes as facilitators and barriers to securing benefits from research for their nations and members/citizens, and describes preemptive and mitigating strategies pursued by tribes in response. These strategies are set within the framing of the CARE Principles for Indigenous Data Governance (Collective Benefit, Authority to Control, Responsibility, Ethics), a set of standards developed to ensure that decisions made about data pertaining to Indigenous communities at the individual and tribal levels are responsive to their values and collective interests. Our findings illustrate gaps to address for benefit sharing and a need to strengthen Responsibility and Ethics in tribal research governance.
1 Introduction
Indigenous Peoples have historically been targets of extractive research, approaches that not only expose communities to the risks of misuse (e.g., stigmatizing findings, stereotyping), but also deprive them of potential benefits (e.g., information on disease risk factors, preventative care, therapies, safety). Tribes in the US have been exercising their sovereignty to limit extractive research practices by adopting laws, policies, and processes governing research on their territories and citizens, including setting expectations regarding benefits to tribes as political collectives.
This paper extends the authors’ work on Indigenous Peoples’ expectations regarding genomic research (Garrison et al., 2019; Hudson et al., 2020) and how tribes set research and data expectations through codes and policies (Hiraldo et al., 2021; Carroll et al., 2022). Using legal epidemiology, the study and deployment of law as a factor in the cause, distribution, and prevention of harm and injury in a population (Burris et al., 2016), we describe how research legislation, policy, and processes from 26 tribes in the US shape benefit sharing expectations in research. The discussion identifies policy gaps for securing benefits from research and describes preemptive and mitigating strategies pursued by tribes. These strategies align with the CARE Principles for Indigenous Data Governance (Collective Benefit, Authority to Control, Responsibility, Ethics), standards developed to ensure that decisions about Indigenous data are responsive to tribal values and interests (Carroll et al., 2020). We close with proposed measures tribal rights holders can enact and strategies others (e.g., sponsors/funders, research entities, scientists) can use to advance ethical benefit sharing with Indigenous communities.
2 Benefit sharing in indigenous research
The concept of benefit sharing emerged from the Nagoya Protocol on Access to Genetic Resources and the Fair and Equitable Sharing of Benefits Arising from their Utilization to the Convention on Biological Diversity (United Nations, 2010) to describe the need to share benefits arising from extraction of natural resources with local communities (Petrov and Tysiachniouk, 2019). The discourse around benefit sharing combines elements of international law, research ethics, and political philosophy, and its primary application was to genetic resources, mining, and international clinical research, although it is used in much wider contexts now (Dauda and Dierickx, 2013). Benefit sharing is mostly ignored in research despite being regarded as an ethically sound concept (Lairumbi et al., 2012). Historically, Indigenous communities have been subjected to extensive research with little input regarding the research process, study results, or decision-making about how those data are disseminated in both academic and community settings (Smith, 2012). Tribal sovereignty, research oversight, and international Indigenous-led standards address past challenges and expand considerations of how research benefits Indigenous nations.
2.1 Harms of extractive research
To understand the range of extractive research practices, we briefly describe examples from genomics and environmental sciences which inform Indigenous Peoples’ interest and reluctance to participate in research. It is important to understand these perspectives to advance Indigenous-led and Indigenous-supported research that utilizes Indigenous research and data governance. First, harms from Indigenous participation in research have far outweighed benefits, as exemplified in the cases of genetic research by Arizona State University with the Havasupai Tribe and the University of British Columbia with the Nuu-chah-nulth First Nation (Wiwchar, 2004; Drabiak-Syed, 2010). Both tribes experienced a multitude of harms, with one case resulting in a lawsuit, and raised concerns about exploitation, lack of engagement, and group harms in genetic research (Garrison et al., 2019).
Second, research involving Indigenous Knowledges in environmental sciences has grown over 200% since the 1990s (Carter et al., 2020; Jessen et al., 2022). Non-Indigenous scientists have often conducted research on Indigenous lands without community involvement or expertise (Minasny et al., 2020; Native Nations Institute, 2022). Researchers benefit from local infrastructure and knowledge but do not value local scientists or knowledge holders as equal partners, sharing minimal benefit with communities hosting the research (Adame, 2021; Handsley-Davis et al., 2021; Nature, 2022).
2.2 Emergence of Indigenous oversight
2.2.1 Tribal research regulation
Over the past 50 years, tribes in the US have developed and implemented policies and procedures for research oversight within their nations’ territories and beyond. Some tribes rely on tribal colleges, tribally-based organizations, or the Indian Health Service to provide research oversight on their behalf (Around Him et al., 2019). While federally and state recognized tribes are in the strongest legal position to assert authority over their data (Tsosie, 2019), non-recognized tribes and other Indigenous Peoples also expect the recognition of their rights in data to translate into opportunities for benefit. We posit that tribal sovereignty, research oversight, and Indigenous-led research can address known challenges and expand consideration of how research can benefit these nations.
US research is governed according to the Federal Policy for the Protection of Human Subjects that was influenced by the 1979 Belmont Report written by the National Commission for the Protection of Human Subjects of Biomedical and Behavioral Research. The Belmont Report hinges on the principles of respect for persons, beneficence, and justice. Saunkeah et al. (2021) describe the Belmont Report’s shortcomings around reciprocity and lack of community focus. Garrison et al. (2019) compared research policies for US, Canada, New Zealand, and Australia to the Indigenous Research Protection Act, a document for tribal leaders and attorneys to consult for strengthening research governance within tribal nations. Shortfalls of US policy present challenges for Indigenous Peoples as well as opportunities for innovation to support equitable and beneficial research.
The call for community-driven and engaged research and data practices began over 20 years ago (Mauro and Hardison, 2000; Arbour and Cook, 2006; Minkler and Wallerstein, 2008; Wallerstein et al., 2018). More recently, Indigenous researchers have developed frameworks, drawing on Indigenous values and customs, to ethically engage communities in research (Claw et al., 2018; David-Chavez and Gavin, 2018; Ward et al., 2020). The National Institutes of Health (NIH) finalized a data management and sharing policy in 2020 based on themes that emerged from tribal consultation processes. The policy clarifies agency respect for tribal sovereignty in the absence of written tribal laws or policies while also recognizing that tribal nations may wish to manage, preserve, and share their own data. The NIH supports efforts that enable Native communities to prioritize research opportunities and to ensure sufficient protections of scientific data generated.
2.2.2 International standards for indigenous research
The United Nations Declaration on the Rights of Indigenous Peoples (UNDRIP) affirms various rights to be acknowledged and pursued in a spirit of partnership and mutual respect (United Nations, 2007). The Nagoya Protocol is an international agreement supporting equitable sharing of benefits from the utilization of genetic resources. It came into effect in 2014, building on the requirement for mutually agreed terms as well as access and benefit sharing established through the Convention on Biological Diversity (United Nations, 2011). While International standards were being negotiated, Indigenous collectives also developed frameworks to assert their rights e.g., the Mataatua Declaration on Cultural and Intellectual Property Rights of Indigenous Peoples and the First Nations Principle of OCAP® (a registered trademark of the First Nations Information Governance Centre) that details Ownership, Control, Access, and Possession (FNIGC, 2018).
Since 2015, Indigenous Data Sovereignty (IDSov) has emerged in scholarship and practice worldwide (Kukutai and Taylor, 2016a; Rodriguez-Lonebear, 2016; Rainie et al., 2017; Chung and Chung, 2019; Rainie et al., 2019; Walter et al., 2021). Indigenous data, whether born digital or not, include information and knowledge (also specimens and material belongings) about Indigenous Peoples at the individual or collective levels (Lovett et al., 2019; Rainie et al., 2019). IDSov maintains that Indigenous Peoples hold authority over data about their nations, citizens, communities, and non-human relations, regardless of the location of those data (Kukutai and Taylor, 2016b; Carroll et al., 2022).
The CARE Principles were developed to complement the FAIR principles for scientific data management (Findable, Accessible, Interoperable, Reusable) (Wilkinson et al., 2016; Carroll et al., 2019; Carroll et al., 2020). Operationalizing FAIR with CARE guides the collection, use, and sharing of Indigenous data to align with Indigenous rights and interests in the age of big data and open science (Carroll et al., 2021). The CARE Principles are being implemented by nation-states and major institutions (e.g., UNESCO Recommendation on Open Science, the AIATSIS Code of Ethics for Aboriginal and Torres Strait Islander Research, the Aotearoa New Zealand Antarctic and Southern Ocean Research Directions and Priorities). Together, these frameworks anticipate benefit sharing with Indigenous Peoples in the use of derived genetic resources and traditional knowledge. Here, we use the CARE Principles to illustrate tribal expectations for benefit sharing.
3 Tribal expectations for research benefits
Using legal epidemiology (also known as “policy surveillance”) and grounded theory to analyze the content of tribal research governance documents, we conducted an inductive analysis of tribal legislation and policy (Burris et al., 2016). Presenting a set of rights and expectations, these governance documents help ensure that researchers and institutions propose and conduct genomic and other research that do not denigrate or harm Indigenous rights, knowledges, or health.
We reviewed documents from 26 US tribal communities, including: 1) legislation (e.g., acts, codes, ordinances, regulations); 2) policies, procedures, protocols; 3) application overview/background documents; 4) application guidance; and 5) application materials (e.g., forms, templates) (Table 1). These materials are living documents, and legal epidemiology requires an end date for collection, which, in this case, is June 2021. Some tribes have since updated their materials. We masked tribe names to maintain anonymity in the resulting tables and discussion. One tribe’s document(s) had no relevant content for analysis. Table 2 distills the provisions discussing community and individual benefits. We draw on regulations from federally and state recognized tribes to illustrate how these official documents address the benefits (and risks) of research (Supplementary Table S1) and set tribal expectations for commercialization, publication, collaboration, and shared authorship (Supplementary Table S2). We present these tribal expectations using the CARE Principles to inform tribes as they design and revise governance mechanisms, and as guidance for institutions as they implement laws and policies to support Indigenous Peoples’ data and research rights and interests (Table 2).
Tribal expectations within these documents coalesce around five themes: 1) Benefits of research (generally); 2) Collective (i.e., tribal, community) benefit/value/relevance/interest; 3) Historical and continuing lack of benefit; 4) Balancing benefits and risks/harms; and 5) Restrictions on/prohibitions of commercialization/profit (Supplementary Table S1). Many of the codes and policy documents delineate an equitable distribution between the Tribe and the researcher, both in treatment of participants and sharing of credit and research results.
Benefits described within tribal research governance documents fall into two categories: 1) Economic and 2) Self-determination, capacity sharing, and community building (Supplementary Table S2). Economic benefits comprise 1) Compensation, 2) Value from commercialization/profit, 3) Royalties, and 4) Intellectual property. Benefits around Self-determination, capacity sharing, and community building include 1) Return of/access to findings, 2) Authorship and acknowledgement/credit in publications, 3) Empowerment, 4) Employment/training, 5) Technical assistance, and 6) Health.
Economic benefits are an avenue for meaningful benefits to be shared with the community. Tribal codes describe compensation, value from commercialization, royalties, and intellectual property (IP) as key areas for discussion with researchers. While there is not always a clear distinction between categories, as some tribes refer to royalties and IP in the context of compensation, economic benefits are important sites of negotiation. However, given the variety in types of research, economic benefits are one of the most challenging to generate tangible results consistently.
4 Issues and actions for implementing CARE
Using the CARE Principles, Table 2 details the thematic areas in which tribes address benefit sharing within their tribal research codes, policies, and processes.
4.1 Collective benefit
Collective benefit is core to IDSov and reinforces rights to engage in decision-making according to Indigenous values and collective interests. It focuses on inclusive development and innovation, improved governance and citizen engagement, and equitable research outcomes. Value generation is an important element in enabling collective benefit with expectations for sharing with the community; examples can be economic (such as compensation and royalties) or focused on health. As moral and legal responsibility to support benefit sharing has evolved, so has the differentiation between monetary and non-monetary benefits. Research that aims to offer benefits often focus on hiring or authorship practices and less on the sharing of IP, derivative products, or supporting tribal sovereignty and Indigenous-led research.
Tribes have a right to expect appropriate compensation for participation in research activities, including being paid as research participants, informants, and/or consultants, as well as other benefits such as co-authorship, sharing of copyright, and training or education expenses (Tribes 3, 5, 10, 18, 24). Some tribes charge fees for research permits or licenses (Tribes 1, 2, 4, 8, 12, 14, 18, 20, 21, 23, 24, 25). Tribe 3 requires compensation “for research-related inconveniences,” while others ask for “just compensation or fair return” (Tribes 18, 25). Depending on the project, compensation is often the only pathway for economic benefits to tribal communities. However, some tribal codes explicitly request royalties from products derived from Indigenous peoples, culture, lands, and biological resources (Tribes 6, 12, 13, 18, 20, 24, 25). The tribal codes do not specify the nature of the royalty but highlight the need to plan for potential royalties and write royalty clauses into agreements (Tribes 12, 24).
The documents distinguish how benefits need to be assessed or measured at the collective (i.e., tribal and community) level, in contrast to the Belmont Report’s focus on the individual (Tribes 1, 3, 5, 6, 7, 9, 10, 11, 13, 15, 16, 18, 22, 25, 24). Collective benefits have value, relevance, and are of interest to the tribe and tribal community. The documents also include research benefits to address past and continuing experiences for projects that were not designed to provide any benefits (Tribes 2, 3, 4, 11, 15). A few also note ways that tribes are acknowledging and addressing this lack of benefit in research, ranging from denial of research proposals (Tribe 11) to approval of projects accompanied by a statement that no benefits are expected (Tribe 15). Rather than vaguely describing research benefits for the “public good” or “public interest,” some documents ask researchers to identify potential beneficiaries who are receiving benefits, or absorbing the costs, of research. Examples of beneficiaries are research participants, tribal members, families, tribes, Indigenous Peoples, society, researcher/investigator, project personnel, environment, science, and human knowledge (Tribes 1, 3, 4, 6, 7, 8, 9, 11, 13, 15, 16, 18, 19, 22, 23, 24, 25).
Finally, tribal documents highlight the importance of addressing health and well-being in research, prompting some tribes to require activities be respectful while promoting health in ways that are aligned with healthy lifestyles for all generations (Tribes 1, 11, 15).
4.2 Authority to control
Conducting research with tribal communities involves supporting capacity sharing, community partnership building, self-determination, and tribes’ rights to govern research on their lands, with their peoples, and their non-human relatives. Authority to control appears in the contexts of commercialization (including restrictions), IP, return of and access to findings, and authorship and acknowledgment.
Commercialization involves turning research into viable profit-earning products. Some codes restrict, or require specific applications and permissions for, commercialization (Tribes 4, 18, 24). Some require separate commercial agreements (Tribe 24), while others establish an obligation to share financial benefits from commercialization (Tribe 12). In contrast, some research agreements include a statement of noncommercial use of research products (Tribe 4).
IP such as patents, copyright, and trademarks are valuable assets. In past extractive research with Indigenous Peoples, researchers have not recognized tribal rights to data. Tribes are now recognizing this lack of input into the research process (Smith, 2012) and are adopting policies and laws to protect their IP, assert their Cultural Intellectual Property Rights, and ensure their cultural authority is recognised within records (Golan et al., 2022). These measures set expectations that tribal control of knowledge will be maintained by exclusive assignment or negotiation of applicable IP rights (Tribes 6, 10, 12, 13, 14, 18, 24, 25). For example, some codes affirm IP claims to “cultural, linguistic, and historic information” not otherwise belonging to the researcher (Tribe 14), and others establish a process for negotiating “ownership of copyrights” (Tribe 13).
Return of, or creating access to, research findings recognizes that tribes have the right to access their data and the authority to govern future use. Tribal research documents also define return of, and access to, research findings as creating opportunities for co-authorship or receiving acknowledgement and proper credit for their contributions (Tribes 5, 6, 10, 12, 15, 24, 25).
Tribes have increasingly asked to be credited for their contributions in publications as co-authors or to have the tribe/community members acknowledged. Several research codes have clarified this by describing co-authorship as reciprocity (Tribe 10) or by requiring that the research applicant spell out “how the Tribal community” will “share in the authorship” of the research (Tribe 24). Several journals (Rural and Remote Health, the Australian Journal of Rural Health, and the Canadian Journal of Rural Medicine, Data Science Journal) have now made Indigenous co-authorship a requirement for publication of Indigenous related content (Lock et al., 2022).
4.3 Responsibility
Responsibility centers on forming positive relationships between researchers or data stewards and Indigenous Peoples by enhancing capacity and capability and by prioritizing Indigenous languages and world views. Tribal codes address this responsibility through requirements for empowerment, employment and training, and technical assistance.
Empowerment refers to equitable sharing of decision-making power so that tribes can influence how research is conducted, what knowledge is shared, and who is involved; it also includes supporting opportunities for partnerships, employment, and training (Tribes 6, 10, 11, 24). Tribal documents have cited the importance of “shared power, shared resources and mutual understanding” (Tribe 25) arising from “a good research agreement” that supports respect and equity (Tribe 6).
Conducting research in tribal communities requires a team to support all aspects of data collection, analysis, and dissemination. Opportunities are ripe for offering training to community members (e.g., students, aspiring researchers) to strengthen their research skills and for budgeting to hire qualified community members to assist on projects (Tribes 1, 6, 7, 10, 18, 20, 25). Some tribes ask researchers to offer first preference of employment to qualified tribal members (Tribes 18, 20). Sometimes, supporting tribal capacity and infrastructure means offering technical assistance for grant writing, training, developing educational materials, or supporting local libraries, archives and museums (Tribes 1, 10, 25).
4.4 Ethics
Ethics grounded in Indigenous values drive the just determination of risks and benefits, and future uses of data. In addition to discussing the benefits of research to various constituents (individuals, the tribe, broader communities) and undertakings (tribal sovereignty, language, culture, and science) (Tribes 4, 6, 7, 8, 10, 12, 14, 15 16, 24, 22), some documents incorporate the balancing of benefits against risks or harms (Tribes 6, 14).
5 Conclusion
Notably missing from the documents examined were elements of Responsibility and Ethics. Responsibility in CARE relates to the institutional duty to use data to support Indigenous worldviews, which would operationalize Indigenous guidelines, standards and protocols within institutional policies and practice. Missing from tribal research governance documents are explicit requirements for benefit sharing that align with Indigenous world views. Likewise, ethical future use of data requires guidance on appropriate actions for researchers and institutions to ensure benefits accrued are shared equitably with Indigenous communities. Practices that support acknowledgment, attribution, and authorship enable pathways for appropriate access and authority to be recognized. It is important to include Indigenous metadata and perpetuate provenance, protocols, and permissions throughout the data lifecycle to ensure generation of benefits (Golan et al., 2022).
As outlined here, the CARE principles provide a useful framework for addressing both the shared aspirations of many communities, as well as reiterating the value and importance of research oversight for tribal nations. Operationalizing the CARE Principles will highlight areas to strengthen tribal research governance and make institutional policies and practices more responsive. Even for tribes lacking federal or state recognition, the CARE Principles set expectations for developing and sustaining beneficial research partnerships. The challenge is to translate expectations from tribal research governance into data infrastructures and across research ecosystems, a process that will enhance transparency and accountability, while creating greater opportunities for benefit sharing.
Data availability statement
The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.
Author contributions
SRC and NAG conceptualized, drafted, and finalized the manuscript. RP, LLJ, IG, RS, FMC-M, VH, and MH contributed to drafting and editing.
Funding
The Morris K. Udall and Stewart L. Udall Foundation supported SRC, RP, and IG.
Acknowledgments
The authors acknowledge Indigenous Peoples worldwide, and the tribes in the US that are re-imagining and re-membering laws, policies, and practices to assert their right to control and enact their responsibility to protect research and data about their peoples, lands, and resources. Special appreciation to the Native nations whose codes and policies are cited in this document for making this information publicly available so others are able to learn from it. The authors are grateful to Danella Hall and Candace Yazzie for collection and coding of the tribal research codes.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
Supplementary material
The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fgene.2022.1052620/full#supplementary-material
References
Adame, F. (2021). Meaningful collaborations can end "helicopter research. Nature. doi:10.1038/d41586-021-01795-1
Akwasasne Task Force on the Environment (1996). Protocol for review of environmental and scientific research proposals. Available at https://sites.google.com/site/atfeonline/documents [Accessed 23 August 2022]
Arbour, L., and Cook, D. (2006). DNA on loan: Issues to consider when carrying out genetic research with aboriginal families and communities. Community Genet. 9 (3), 153–160. doi:10.1159/000092651
Around Him, D., Andalcio Aguilar, T., Frederick, A., Larsen, H., Seiber, M., and Angal, J. (2019). Tribal IRBs: A framework for understanding research oversight in American Indian and Alaska Native communities. Am. Indian Alsk. Native Ment. Health Res. 26 (2), 71–95. doi:10.5820/aian.2602.2019.71
Burris, S., Ashe, M., Levin, D., Penn, M., and Larkin, M. (2016). A transdisciplinary approach to public health law: The emerging practice of legal epidemiology. Annu. Rev. Public Health 37 (1), 135–148. doi:10.1146/annurev-publhealth-032315-021841
Carroll, S. R., Garba, I., Figueroa-Rodríguez, O. L., Holbrook, J., Lovett, R., Materrechera, S., et al. (2020). The CARE Principles for Indigenous Data Governance. Data Sci. J. 19 (43), 1–12. doi:10.5334/dsj-2020-043
Carroll, S. R., Garba, I., Plevel, R., Small-Rodriguez, D., Hiratsuka, V. Y., Hudson, M., et al. (2022). Using Indigenous standards to implement the CARE Principles: Setting expectations through tribal research codes. Front. Genet. 21 (13), 823309. doi:10.3389/fgene.2022.823309
Carroll, S. R., Herczog, E., Hudson, M., Russell, K., and Stall, S. (2021). Operationalizing the CARE and FAIR Principles for Indigenous data futures. Sci. Data 8 (1), 108–116. doi:10.1038/s41597-021-00892-0
Carroll, S. R., Rodriguez-Lonebear, D., and Martinez, A. (2019). Indigenous data governance: Strategies from United States Native nations. Data Sci. J. 18 (31), 31–15. doi:10.5334/dsj-2019-031
Carter, T. L., Jennings, L. L., Pressler, Y., Gallo, A. C., Berhe, A. A., Marín-Spiotta, E., et al. (2020). Towards diverse representation and inclusion in soil science in the United States. Soil Sci. Soc. Am. J. 85, 963–974. doi:10.1002/saj2.20210
Chung, P., and Chung, M. (2019). “Indigenous data sovereignty in the Mekong region,” in Annual World Bank Conference on Land and Poverty, Washington, D.C, March 25-29.
Claw, K. G., Anderson, M. Z., Begay, R. L., Tsosie, K. S., Fox, K., Garrison, N. A., et al. (2018). A framework for enhancing ethical genomic research with Indigenous communities. Nat. Commun. 9 (1), 2957–7. doi:10.1038/s41467-018-05188-3
Dauda, B., and Dierickx, K. (2013). Benefit sharing: An exploration on the contextual discourse of a changing concept. BMC Med. Ethics 14, 36. doi:10.1186/1472-6939-14-36
David-Chavez, D., and Gavin, M. (2018). A global assessment of Indigenous community engagement in climate research. Environ. Res. Lett. 13, 123005. doi:10.1088/1748-9326/aaf300
Drabiak-Syed, K. (2010). Lessons from Havasupai Tribe v. Arizona State University Board of Regents: Recognizing group, cultural, and dignitary harms as legitimate risks warranting integration into research practice. J. Health & Biomed. Law 6 (2), 175–225.
First Nations Information Governance Centre. 2018. The First Nations Principles of OCAP®. Available at https://fnigc.ca/ocap-training/ [Last date accessed 18 September 2022].
Garrison, N. A., Hudson, M., Ballantyne, L. L., Garba, I., Martinez, A., Taualii, M., et al. (2019). Genomic Research through an Indigenous lens: Understanding the expectations. Annu. Rev. Genomics Hum. Genet. 20 (1), 495–517. doi:10.1146/annurev-genom-083118-015434
Golan, J., Riddle, K., Hudson, M., Anderson, J., Kusabs, N., and Coltman, T. (2022). Benefit sharing: Why inclusive provenance metadata matter. Front. Genet. 13, 1014044. doi:10.3389/fgene.2022.1014044
Handsley-Davis, M., Kowal, E., Russell, L., and Weyrich, L. S. (2021). Researchers using environmental DNA must engage ethically with Indigenous communities. Nat. Ecol. Evol. 5, 146–148. doi:10.1038/s41559-020-01351-6
Hiraldo, D., James, K., and Carroll, S. R. (2021). Case Report: Indigenous sovereignty in a pandemic: Tribal codes in the United States as preparedness. Front. Sociol. 6 (28), 617995–617999. doi:10.3389/fsoc.2021.617995
Hudson, M., Garrison, N. A., Sterling, R., Caron, N. R., Fox, K., Yracheta, J., et al. (2020). Rights, interests and expectations: Indigenous perspectives on unrestricted access to genomic data. Nat. Rev. Genet. 21, 377–384. doi:10.1038/s41576-020-0228-x
Jessen, T. D., Ban, N. C., Xemtoltw Claxton, N. X., and Darimont, C. T. (2022). Contributions of Indigenous Knowledge to ecological and evolutionary understanding. Front. Ecol. Environ. 20 (2), 93–101. doi:10.1002/fee.2435
Kukutai, T., and Taylor, J. (eds.) (2016a). Indigenous data sovereignty: Toward an agenda (Canberra, Australia: Australian National University Press). doi:10.22459/CAEPR38.11.2016
Kukutai, T., and Taylor, J. (2016b). “Data sovereignty for Indigenous Peoples: Current practice and future needs,” in Indigenous data sovereignty: Toward an agenda. Editors T. Kukutai, and J. Taylor (Canberra, Australia: Australian National University Press), 1–24. doi:10.22459/CAEPR38.11.2016.01
Lairumbi, G. M., Parker, M., Fitzpatrick, R., and English, M. C. (2012). Forms of benefit sharing in global health research undertaken in resource poor settings: A qualitative study of stakeholders’ views in Kenya. Philos. Ethics Humanit. Med. 7, 7. doi:10.1186/1747-5341-7-7
Lock (Ngiyampaa), M. J., McMillan (Wiradjuri), F., Warne (Oglala Lakota), D., Bennett (Gamilaraay), B., Kidd (Ngāpuhi), J., Williams (Bkejwanong), N., et al. (2022). Iciras: Research and reconciliation with Indigenous Peoples in rural health journals. Aust. J. Rural. Health 30, 550–558. doi:10.1111/ajr.12905
Lovett, R., Lee, V., Kukutai, T., Rainie, S. C., and Walker, J. (2019). “Good data practices for Indigenous data sovereignty,” in Good data. Editors A. Daly, K. Devitt, and M. Mann (Amsterdam: Institute of Network Cultures), 26–36.
Mauro, F., and Hardison, P. D. (2000). Traditional knowledge of Indigenous and local communities: International debate and policy initiatives. Ecol. Appl. 10, 1263–1269. doi:10.1890/1051-0761(2000)010[1263:tkoial]2.0.co;2
Minasny, B., Fiantis, D., Mulyanto, B., Sulaeman, Y., and Widyatmanti, W. (2020). Global soil science research collaboration in the 21st century: Time to end helicopter research. Geoderma 373, 114299. doi:10.1016/j.geoderma.2020.114299
Minkler, M., and Wallerstein, N. (2008). Community-based participatory research for health: From process to outcomes. 2nd ed. San Francisco, CA: Jossey-Bass.
Native Nations Institute 2022 Governance for Native Nation rebuilding. Available at: https://climas.arizona.edu/sites/default/files/Policy_Brief_Data_Governance_for_Native_Nation_Rebuilding_Version_2.pdf (Accessed January 19, 2022).
Nature, (2022). Nature addresses helicopter research and ethics dumping: New framework aims to improve inclusion and ethics in global research collaborations amid wider efforts to end exploitative practices. Nature 606, 7. doi:10.1038/d41586-022-01423-6
Petrov, A. N., and Tysiachniouk, M. S. (2019). Benefit sharing in the Arctic: A systematic view. Resources 8 (3), 155. doi:10.3390/resources8030155
Rainie, S. C., Schultz, J. L., Briggs, E., Riggs, P., and Palmanteer-Holder, N. L. (2017). Data as a strategic resource: Self-determination, governance, and the data challenge for Indigenous nations in the United States. Int. Indig. Policy J. 8. doi:10.18584/iipj.2017.8.2.1
Rainie, S. R., Kukutai, T., Walter, M., Figueroa-Rodriguez, O. L., Walker, J., and Axelsson, P. (2019). “Issues in open data: Indigenous data sovereignty,” in The state of open data: Histories and horizons. Editors T. Davies, S. Walker, M. Rubinstein, and F. Perini (Cape Town and Ottawa: African Minds and International Development Research Centre), 300–319.
Rodriguez-Lonebear, D. (2016). “Building a data revolution in Indian country,” in Indigenous data sovereignty: Toward an agenda. Editors T. Kukutai, and J. Taylor Canberra, Australia: Australian National University Press, 253–272. doi:10.22459/CAEPR38.11.2016.14
Saunkeah, B., Beans, J. A., Peercy, M. T., Hiratsuka, V. Y., and Spicer, P. (2021). Extending research protections to tribal communities. Am. J. Bioeth. 21 (10), 5–12. doi:10.1080/15265161.2020.1865477
Smith, L. T. (2012). Decolonizing methodologies: Research and Indigenous peoples. Second edition. London: Zed Books.
Tsosie, R. (2019). Tribal data governance and informational privacy: Constructing ‘Indigenous data sovereignty. Mont. L. Rev. 80 (2).
United Nations. (1992). Convention on biological diversity. Available at: https://www.cbd.int/doc/legal/cbd-en.pdf accessed 21 September 2022].
United Nations. (2011). Nagoya Protocol on access to genetic resources and the fair and equitable sharing of benefits arising from their utilization to the convention on biological diversity. Available at https://www.cbd.int/abs/ [Last accessed 21 September 2022].
United Nations. (2007). United nations declaration on the rights of indigenous peoples: Resolution/adopted by the general assembly, 2 october 2007, A/RES/61/295. Available at: https://www.refworld.org/docid/471355a82.html [Last date accessed 21 September 2022].
Wallerstein, N., Duran, B., Oetxel, J. G., and Minkler, M. (eds.) (2018). Community-based participatory research for health: Advancing social and health equity (San Francisco, CA: Jossey-Bass, a Wiley Brand).
Walter, M., Kukutai, T., Carroll, S. R., and Rodriguez-Lonebear, D. (eds.) (2021). Indigenous data sovereignty and policy (New York: Routledge).
Ward, L. M., Hill, M. J., Chreim, S., Poker, C., Olsen Harper, A., and Wells, S. (2020). Developing an Innu framework for health research: The canoe trip as a metaphor for a collaborative approach centered on valuing Indigenous knowledges. Soc. Sci. Med. 266, 113409. doi:10.1016/j.socscimed.2020.113409
Wilkinson, M. D., Dumontier, M., Aalbersberg, I. J., Appleton, G., Axton, M., Baak, A., et al. (2016). The FAIR guiding principles for scientific data management and stewardship. Sci. Data 3, 160018. doi:10.1038/sdata.2016.18
Keywords: research policy, indigenous, data sovereignty, data governance, care principles
Citation: Carroll SR, Plevel R, Jennings LL, Garba I, Sterling R, Cordova-Marks FM, Hiratsuka V, Hudson M and Garrison NA (2022) Extending the CARE Principles from tribal research policies to benefit sharing in genomic research. Front. Genet. 13:1052620. doi: 10.3389/fgene.2022.1052620
Received: 24 September 2022; Accepted: 19 October 2022;
Published: 11 November 2022.
Edited by:
Dominique Sprumont, University of Neuchâtel, SwitzerlandReviewed by:
Elizabeth Cohn, The City University of New York, United StatesCopyright © 2022 Carroll, Plevel, Jennings, Garba, Sterling, Cordova-Marks, Hiratsuka, Hudson and Garrison. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Stephanie Russo Carroll, c3RlcGhhbmllY2Fycm9sbEBhcml6b25hLmVkdQ==