Evidence map›Paper›PMID 38412191›Full record

ArticlePloS one2024

Virtual BUILD Research Collaboratory: A biomedical data science training using innovative pedagogy to address structures of racism and inequitable stress for undergraduates of color.

Niquo Ceberio, Peter Le, Jasmón Bailey, Sonthonax Vernard, Nichole Coleman, Yazmin P Carrasco, Telisa King, Kirsten Bibbins-Domingo, Tung Nguyen, Audrey Parangan-Smith and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2024. 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
1.1field-weighted citation impact, top 21% of its field
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, 2 citations in OpenAlex.

  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

15 authors at 7 institutions in 1 country.

Niquo CeberioDepartment of Biology, San Francisco State University, San Francisco, California, United States of America.
Peter LeDepartment of Biology, San Francisco State University, San Francisco, California, United States of America.
Jasmón BaileyUniversity of Maryland-College Park, College Park, Maryland, United States of America.
Sonthonax VernardDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America.
Nichole ColemanDepartment of Biology, San Francisco State University, San Francisco, California, United States of America.
Yazmin P CarrascoDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America.
Telisa KingDepartment of Biology, San Francisco State University, San Francisco, California, United States of America.
Kirsten Bibbins-DomingoDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America.
Tung NguyenDepartment of Medicine, University of California, San Francisco, San Francisco, California, United States of America.
Audrey Parangan-SmithDepartment of Biology, San Francisco State University, San Francisco, California, United States of America.ORCID 0000-0002-9020-9726
Kelechi UwaezuokeDepartment of Biology, San Francisco State University, San Francisco, California, United States of America.
Robert C RiversOffice of Minority Health Research Coordination, National Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland, United States of America.
Kenjus WatsonAmerican University, Washington, DC, United States of America.
Leticia Márquez-MagañaDepartment of Biology, San Francisco State University, San Francisco, California, United States of America.
Kala M MehtaDepartment of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California, United States of America.ORCID 0000-0001-8281-5796
San Francisco State University · USUniversity of California, San Francisco · USAmerican Medical Association · USAmerican University · USNational Institutes of Health · USNorthern Arizona University · USUniversity of Maryland, College Park · US

Funding

Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
SF BUILD: Enabling Students to Represnt in ScienceUL1GM118985 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI MARQUEZ-MAGANA, LETICIA MARIA, MORRIS, MEGHAN D · 2015 to 2023
$18.2M
NCATS NIH HHS UL1 TR001872NIGMS NIH HHS UL1 GM118985
6 · The paper itself

Abstract

objectiveThe unprecedented events of 2020 required a pivot in scientific training to better prepare the biomedical research workforce to address global pandemics, structural racism, and social inequities that devastate human health individually and erode it collectively. Furthermore, this pivot had to be accomplished in the virtual environment given the nation-wide lockdown.

methodsThese needs and context led to leveraging of the San Francisco Building Infrastructure Leading to Diversity (SF BUILD) theories of change to innovate a Virtual BUILD Research Collaboratory (VBRC). The purpose of VBRC was to train Black, Indigenous, and people of color (BIPOC) students to apply their unique perspectives to biomedical research. These training activities were evaluated using a pre-post survey design that included both validated and new psychosocial scales. A new scale was piloted to measure culturally relevant pedagogy.

resultsVBRC scholars increased science identity on two items: thinking of myself as a scientist (+1point, p = 0.006) and belonging to a community of scientists (+1point, p = 0.069). Overall, scholars perceived stress also decreased over VBRC (-2.35 points, p = 0.02). Post VBRC, scholars had high agency scores (μ = 11.02, Md = 12, range = 6-12, σ = 1.62) and cultural humility scores (μ = 22.11, Md = 23, range = 12-24, σ = 2.71). No notable race/ethnic differences were found in any measures.

conclusionsTaken together, our innovative approach to data science training for BIPOC in unprecedented times shows promise for better preparing the workforce critically needed to address the fundamental gaps in knowledge at the intersection of public health, structural racism, and biomedical sciences.

Indexed as

Biomedical ResearchRacismData ScienceHumansStudentsWorkforce

Identifiers

PMID38412191
PMCPMC10898773
OpenAlexW4392189338

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.