Cited by 264Indigenous Health, Education, and RightsEthics and Social Impacts of AIIndigenous Peoples' Rights and Law

The DOI matches its Crossref record; 24 of the 24 references it cites were found in a registry or an index; 4 of the 38 sources its claims cite were checked for support.

Indigenous Data Governance: Strategies from United States Native Nations

Open access

Abstract

Data have become the new global currency, and a powerful force in making decisions and wielding power. As the world engages with open data, big data reuse, and data linkage, what do data-driven futures look like for communities plagued by data inequities? Indigenous data stakeholders and non-Indigenous allies have explored this question over the last three years in a series of meetings through the Research Data Alliance (RDA). Drawing on RDA and other gatherings, and a systematic scan of literature and practice, we consider possible answers to this question in the context of Indigenous peoples vis-á-vis two emerging concepts: Indigenous data sovereignty and Indigenous data governance. Specifically, we focus on the data challenges facing Native nations and the intersection of data, tribal sovereignty, and power. Indigenous data sovereignty is the right of each Native nation to govern the collection, ownership, and application of the tribe’s data. Native nations exercise Indigenous data sovereignty through the interrelated processes of Indigenous data governance and decolonizing data. This paper explores the implications of Indigenous data sovereignty and Indigenous data governance for Native nations and others. We argue for the repositioning of authority over Indigenous data back to Indigenous peoples. At the same time, we recognize that there are significant obstacles to rebuilding effective Indigenous data systems and the process will require resources, time, and partnerships among Native nations, other governments, and data agents.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

This paper argues that Indigenous data sovereignty (IDS) is the inherent right of Native nations to govern the collection, ownership, and application of their data, exercised through Indigenous data governance (IDG) and decolonizing data. Drawing on Research Data Alliance meetings, a literature/practice scan, and US case studies, it recommends repositioning authority over Indigenous data to Indigenous peoples while acknowledging resource, capacity, and partnership obstacles.

Key findings

  • IDS is defined as the right of Indigenous peoples and tribes to govern collection, ownership, and application of their own data; IDG is “decision making” and “the power to decide how and when Indigenous data are gathered, analysed, accessed and used.” Native nations exercise IDS through interrelated processes of IDG and decolonizing data.
  • Data dependency is sustained by a paradox of scarcity and abundance: extensive data are collected about Indigenous peoples/nations but rarely by or for them. The 2010 US Census undercounted American Indian/Alaska Native peoples at 4.9%, the highest undercount of any racial/ethnic population; the Census also captures self-identification, not tribal citizenship.
  • Case studies show governance mechanisms: NCAI’s pilot with five tribes; Pueblo of Laguna ran its own census with proprietary software owned by the tribe; Swinomish climate initiative retained complete ownership and prior review/approval; Navajo Nation Human Research Review Board has regulated research since 1996 with a 12-step approval process and data turnover; NAGPRA repatriated nearly 60,000 human remains and over 1.7 million funerary objects, with penalties up to 12 months prison and $100,000 fine.
  • Recommendations emerged from 27 gatherings: tribal rightsholders must be involved in every recommendation, non-Indigenous entities also have roles, and the C.A.R.E. Principles (collective benefit, authority to control, responsibility, ethics) are intended alongside FAIR.

Methods

  • Conceptual/policy analysis combining definitions, case studies, and recommendations; draws on Research Data Alliance plenaries and other meetings and a systematic scan of literature and practice.
  • Qualitative analysis of participant observation data from 27 gatherings in the United States and at RDA plenaries, covering data governance mechanisms, tribal data governance opportunities/challenges, and stakeholder roles.
  • Case studies of tribal and non-tribal entities, including the NCAI Tribal Data Capacity Project with five tribes, Pueblo of Laguna, Swinomish Tribe, Navajo Nation Human Research Review Board, Urban Indian Health Institute, Albuquerque Area Southwest Tribal Epidemiology Center, NCAI resolution KAN-18-011, and international IDS networks.

Limitations

  • The paper states its recommendations are not exhaustive, are nonlinear, and are not a step-by-step process; tribal rightsholders can decide their level of engagement based on cultural fit, vision, capacity, and resources.
  • The paper states there are significant obstacles to rebuilding effective Indigenous data systems, requiring resources, time, and partnerships among Native nations, other governments, and data agents.
  • Evident from the text: the analysis is largely US-focused with selected case studies and qualitative participant observation, rather than a systematic outcome evaluation; international examples are illustrative.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.5334/dsj-2019-031

Cites

24 of 24 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

4 of 38 cited sources checked · 2 supported · 0 flagged · accuracy not yet measured

Show all 24 claims

  • Probably not a substantial claim. 30
  • It may state two separate claims as one. 16
38 of 38
  • The paper relies on this without support.

    Every Indigenous nation has established cultural protocols around songs, stories, and ceremonies, regardless of whether those protocols have been codified into contemporary law.

    “For example, every Indigenous nation has established cultural protocols around songs, stories, and ceremonies, regardless of whether those protocols have been codified into contemporary law.”
  • The paper relies on this without support.

    Every Native nation engages with Indigenous data governance issues to some degree.

    “Every Native nation engages with these issues to some degree”
  • The paper relies on this without support.

    There is no wrong place for a Native nation to begin or focus attention and resources in Indigenous data governance.

    “and there is no wrong place to begin nor any wrong place to focus attention and resources.”
3 of 3

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

  • Single-race AIAN share does not match the stated population totals

    Minor

    The stated 2.9 million single-race AIAN people are about 55.8% of the stated 5.2 million people reporting any AIAN heritage, not 49%.

    Reported 49 · recomputed 55.769231

1 of 1

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 11

  1. 2007, Rebuilding Native nations, 1
  2. 2004, Case studies in tribal data collection and use
  3. 2007, Beyond abyssal thinking: From global lines to ecologies of knowledge, Eurozine, 33, 45
  4. 1995, Tribal water quality standards under the Clean Water Act: Protecting traditional cultural uses, Washington Law Review, 70, 177
  5. 2018, He Whare Hangarau Māori -Language, culture & technology, 62
  6. 2016, Indigenous data sovereignty: Toward an agenda, 79
  7. 2019, The State of Open Data: Histories and Horizons, 300
  8. 2016, Indigenous data sovereignty: Toward an agenda, 253
  9. 2016, Indigenous data sovereignty: Toward an agenda, 253
  10. 2016, Indigenous data sovereignty: Toward an agenda, 79
  11. 2018, Miaim nayri Wingara Data Sovereignty Group and the Australian Indigenous Governance Institute

Cited by

Sorted by citations

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Metadata

Authors
Carroll, S. R., Rodriguez-Lonebear, D., & Martinez, A.
Affiliations
University of Arizona (US)
Corresponding author
Martinez, Andrew
Venue
Data Science Journal
Published
2019-07-08
Volume
18
Issue
1
Pages
31
ISSN
1683-1470 (ISSN-L)
OpenAlex
W2955337378
Cited by
264
References
17
Citations by year
2026: 49 · 2025: 57 · 2024: 53 · 2023: 43 · 2022: 28 · 2021: 20 · 2020: 13 · 2019: 1
FWCI
15.12
Type
journal article
Language
en
Open access
Locations
  • Data Science Journal (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion, other-oa)
  • PubMed Central (acceptedVersion, cc-by)
  • UA Campus Repository (The University of Arizona) (acceptedVersion, cc-by)
  • Lincoln (University of Nebraska) (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
  • Data Science Journal (submittedVersion, cc-by)
Funders
National Institute of Environmental Health Sciences (P50ES026089)
Topics
  • Social Sciences › Health › Indigenous Health, Education, and Rights
  • Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
  • Social Sciences › Law › Indigenous Peoples' Rights and Law
Keywords
Indigenous data governance, Indigenous data sovereignty, Native American tribes, tribal sovereignty, Research Data Alliance, data ownership, data systems

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