Evidence map›Paper›PMID 41769107›Full record

ArticleFrontiers in public health2026

The virtual indigenous data science academy: development of a summer program in data science for tribal college students.

Corey B Smith, Melanie Nadeau, Collette Adamsen, S Cristina Oancea, Brent Voels, Adrienne Salentiny, Lynn Mad Plume, Michael Herbert, Mandy Guinn, Lyle G Best and 1 more

Abstract read
In one paragraph

Article in Frontiers in public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Corey B SmithDepartment of Pathology, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, United States.
Melanie NadeauDepartment of Indigenous Health, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, United States.
Collette AdamsenDepartment of Population Health, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, United States.
S Cristina OanceaDepartment of Population Health, School of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, United States.
Brent VoelsDepartment of Science, Technology, Engineering and Math, Turtle Mountain Community College, Belcourt, ND, United States.
Adrienne SalentinySchool of Medicine and Health Sciences, University of North Dakota, Grand Forks, ND, United States.
Lynn Mad PlumeCenter for Indigenous Health-Great Plains Hub, Johns Hopkins Bloomberg School of Public Health, Rapid City, SD, United States.
Michael HerbertUniversity Analytics and Planning, University of North Dakota, Grand Forks, ND, United States.
Mandy GuinnDepartment of Environmental Science, United Tribes Technical College, Bismarck, ND, United States.
Lyle G BestGenetics and Pre-eclampsia Study, Natural Science Department, Turtle Mountain Community College, Belcourt, ND, United States.
Emily BigganeIntertribal Research and Resource Center, United Tribes Technical College, Bismarck, ND, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Data science skills are essential for advancing knowledge of health inequities in marginalized and medically underserved populations. As of 2021 there were no programs in data science in the Tribal Colleges and Universities in North Dakota and the neighboring states. The Virtual Indigenous Data Science Academy was established in 2021 by the University of North Dakota School of Medicine and Health Sciences in collaboration with three North Dakota Tribal Colleges to introduce Indigenous students to the core elements of data science. The Virtual Indigenous Data Science Academy teaching faculty designed, developed, delivered, and evaluated a culturally-informed online synchronous summer program consisting of ten learning modules. The Virtual Indigenous Data Science Academy was delivered synchronously over three consecutive summers (2022-2024) to a total of 48 Tribal college students with diverse backgrounds and academic interests. More than 70% of student participants met the skills-based learning objectives of the Academy. Results of the summer program student evaluations demonstrated higher than average ratings of satisfaction with the instruction. The VIDS Academy represents a promising model for the delivery of instruction in data science and Science, Technology, Engineering, and Mathematics-related fields that address the local workforce and healthcare needs of Tribal communities.

Indexed as

Data ScienceIndians, North AmericanStudentsCurriculumHumansNorth DakotaProgram DevelopmentUniversitiesdata scienceindigenousonlinetribal collegeworkforce

Identifiers

PMID41769107
PMCPMC12936994

What OpenQuestion holds

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Registered trials

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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.