Evidence map›Paper›PMID 40533159›Full record

ArticleJournal of medical Internet research2025

Rectifying Genocidal Data Stewardship: A Commentary on Ethical and Legal Obligations for Sharing Data With Tribal Entities.

Oliver Bear Don't Walk Iv, Lauren W Yowelunh McLester-Davis, Susan Brown Trinidad

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Oliver Bear Don't Walk IvDepartment of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0003-4310-9279
Lauren W Yowelunh McLester-DavisNative American Center for Health Professions, University of Wisconsin-Madison, Madison, WI, United States.ORCID http://orcid.org/0000-0003-3504-5244
Susan Brown TrinidadDepartment of Bioethics and Humanities, University of Washington, Seattle, WA, United States.ORCID http://orcid.org/0000-0002-5956-6557

Funding

Collaboratively Identifying Population-Specific Social Determinants of Health for Indigenous Patients Living with HIV: From Patient Perspectives to the Electronic Health RecordK99LM014579 · NLM · UNIVERSITY OF WASHINGTON · PI BEAR DON'T WALK, OLIVER JOHN · 2024 to 2025
$176k
NLM NIH HHS K99 LM014579
6 · The paper itself

Abstract

Unlabelled: Access and the ability to work with Tribal data can vastly improve the ability of Tribal Nations to support their citizens' health and well-being. In this commentary, we expand on previous calls for state and federal public health agencies to share data with Tribes by default. Previous research has described the legal and ethical lay of the land concerning public health data sharing while underscoring the importance of respect for Tribal sovereignty. In this commentary, we expand on this argument by proposing additional pathways through which data can benefit Tribes and identifying critical steps for Tribes to fully benefit from Tribal data. Specifically, we argue for (1) renewed interest and investment in Tribal data science education; (2) proactive data practices, laws, and policies that support long-term health and well-being; and (3) the federal government honoring its trust responsibility to support Tribal data resources.

Indexed as

Indians, North AmericanInformation DisseminationHumansUnited StatesAmerican Indiandata anonymizationdata governancedata sciencedata sharingdata sovereigntydeidentificationethicsIndigenous peoplesinformation disseminationprivacypublic health ethicspublic health surveillancetribal dataTribal public health

Identifiers

PMID40533159
PMCPMC12197306

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.