Evidence map›Paper›PMID 40764752›Full record

ArticleNPJ digital medicine2025

A systematic review of responsible stewardship of research and health data from Indigenous communities.

Alec J Calac, Timothy K Mackey

Abstract read
In one paragraph

Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

2 authors.

Alec J CalacUC San Diego School of Medicine, San Diego, CA, USA. acalac@health.ucsd.edu.
Timothy K MackeyGlobal Health Policy and Data Institute, San Diego, CA, USA.

Funding

UC San Diego Medical Scientist Training ProgramT32GM154642 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Neil C Chi, Mary Kathleen Lewinski · 2025 to 2026
$2.9M
NIGMS NIH HHS T32 GM154642Robert Wood Johnson Foundation,United States 79802
6 · The paper itself

Abstract

There is growing recognition of the moral and legal authority of Indigenous Peoples to regulate research and other matters that involve their communities under the principle of Indigenous Data Sovereignty (IDS). This systematic review has two aims: (1) detail IDS considerations and practices in health research in the United States and other global contexts; and (2) identify frameworks that operationalize IDS practices for responsible conduct of research and use of data-driven technologies. Our review returned 41 relevant articles detailing specific considerations for the collection, access, and use of Indigenous data, and sub-themes such as cultural and regional considerations. More than half of the articles articulated a theoretical framework or detailed set of guidelines for using Indigenous data, with two especially focused on digital data considerations. Results indicate that intentional engagement with Indigenous researchers and communities will minimize harm and maximize benefits for all participating in research and technology development.

Identifiers

PMID40764752
PMCPMC12326002

What OpenQuestion holds

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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.