Evidence map›Paper›PMID 41527856›Full record

ArticleHealth promotion international2026

Promoting self-determined Indigenous data governance in Canada: the Métis Health Research and Data Governance Principles.

Robert Henry, Chelsea Gabel, Caroline Tait, Kiera Kowalski, Alexandra Nychuk

Abstract read
In one paragraph

Article in Health promotion international, 2026. 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. Article
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

5 authors.

Robert HenryDepartment of Indigenous Studies, University of Saskatchewan, 234 Kirk Hall, Saskatoon, Saskatchewan, Canada S7N 5B5.
Chelsea GabelDepartment of Health, Aging and Society, McMaster University, 235 Kenneth Taylor Hall, Hamilton, Ontario, Canada L8S 4M4.
Caroline TaitFaculty of Social Work, University of Calgary, 302 MacKimmie Hall, Calgary, Alberta, Canada T2N 1N4.
Kiera KowalskiDepartment of Health, Aging and Society, McMaster University, 235 Kenneth Taylor Hall, Hamilton, Ontario, Canada L8S 4M4.ORCID 0009-0009-3131-6220
Alexandra NychukDepartment of Health, Aging and Society, McMaster University, 235 Kenneth Taylor Hall, Hamilton, Ontario, Canada L8S 4M4.

Funding

CIHRnātawihowin and mamawiikikayaahk Research, Training and Mentorship Networks (Saskatchewan Network Environment for Indigenous Health Research)Saskatchewan Health Research Foundation
6 · The paper itself

Abstract

Population-level data collection is crucial to advance Indigenous rights and sovereignty but requires localized approaches to develop representative datasets. In Canada, a focus on First Nations research and data governance and principles has led to the underrepresentation of Métis realities and a reliance on data governance models that fail to address their unique cultural, historical, and community-specific needs. "The Saskatchewan Métis Health Research and Data Governance Principles©" were developed to guide Métis research and promote Métis data sovereignty. While these principles share similarities with the First Nations Principles of OCAP®, they emphasize Métis-specific priorities such as capacity building and active engagement with Métis rights holders. These principles provide a framework for Métis health research, ensuring that Métis values and perspectives are embedded throughout the research lifecycle.

Indexed as

Data CollectionIndigenous CanadiansCanadaCapacity BuildingHumansSaskatchewandata governancedata sovereigntyethicsIndigenous healthMétis research principlesself-determination

Identifiers

PMID41527856
PMCPMC12796813

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.