Evidence map›Paper›PMID 28439180›Full record

ReviewEthnicity & disease2017

Enhancing Diversity in Biomedical Data Science.

Judith E Canner, Archana J McEligot, María-Eglée Pérez, Lei Qian, Xinzhi Zhang

Open access · hybridAbstract readReview
In one paragraph

Review in Ethnicity & disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Creating and sustaining effective pipeline initiatives to increase diversity in biostatistics: the ENAR Fostering Diversity in Biostatistics Workshop.Journal of statistics education : an international journal on the teaching and learning of statistics · 2020
    Article
  11. Review
  12. 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 at 5 institutions in 2 countries.

Judith E CannerCalifornia State University, Monterey Bay.
Archana J McEligotCalifornia State University, Fullerton.
María-Eglée PérezUniversity of Puerto Rico, Río Piedras Campus.
Lei QianFisk University.
Xinzhi ZhangNational Institutes of Health, National Institute on Minority Health and Health Disparities.
California State University, Fullerton · USCalifornia State University, Monterey Bay · USFisk University · USNational Institute on Minority Health and Health Disparities · USUniversity of Puerto Rico at Río Piedras · PR

Funding

SCIENCE AND TECHNOLOGY COMPETENCY & EDUCATION CORE (STCE)P20GM103475 · NIGMS · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI Humberto Guillermo Ortiz-Zuazaga · 2012 to 2026
$52.9M
UPR/MDACC Partnership for Excellence in Cancer Research(Parent Grant U54 CA096297)U54CA096297 · NCI · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI Ilka C Rios · 2002 to 2026
$36.9M
Increasing Diversity in Interdisciplinary BD2K (IDI-BD2K)R25MD010399 · NIMHD · UNIVERSITY OF PUERTO RICO RIO PIEDRAS · PI GARCIA-ARRARAS, JOSE E, ORDONEZ, PATRICIA · 2015 to 2020
$1.3M
Big Data Discovery and Diversity through Research Education Advancement and Partnerships (BD3-REAP)R25MD010397 · NIMHD · CALIFORNIA STATE UNIVERSITY FULLERTON · PI MCELIGOT, ARCHANA J · 2015 to 2019
$1.2M
Innovative Research Education and Articulation in the Preparation of Under-represented and First Generation Students for Careers in Biomedical Big Data ScienceR25MD010391 · NIMHD · CALIFORNIA STATE UNIV, MONTEREY BAY · PI CANNER, JUDITH ELENA · 2015 to 2019
$1.0M
Fisk University/UIUC-Mayo KnowENG BD2K Center R25 PartnershipR25MD010396 · NIMHD · FISK UNIVERSITY · PI QIAN, LEI · 2015 to 2019
$1.0M
NCI NIH HHS U54 CA096297NIGMS NIH HHS P20 GM103475NIMHD NIH HHS R25 MD010391NIMHD NIH HHS R25 MD010396NIMHD NIH HHS R25 MD010397NIMHD NIH HHS R25 MD010399
6 · The paper itself

Abstract

The gap in educational attainment separating underrepresented minorities from Whites and Asians remains wide. Such a gap has significant impact on workforce diversity and inclusion among cross-cutting Biomedical Data Science (BDS) research, which presents great opportunities as well as major challenges for addressing health disparities. This article provides a brief description of the newly established National Institutes of Health Big Data to Knowledge (BD2K) diversity initiatives at four universities: California State University, Monterey Bay; Fisk University; University of Puerto Rico, Río Piedras Campus; and California State University, Fullerton. We emphasize three main barriers to BDS careers (ie, preparation, exposure, and access to resources) experienced among those pioneer programs and recommendations for possible solutions (ie, early and proactive mentoring, enriched research experience, and data science curriculum development). The diversity disparities in BDS demonstrate the need for educators, researchers, and funding agencies to support evidence-based practices that will lead to the diversification of the BDS workforce.

Indexed as

MentorsBiomedical ResearchData ScienceHumansMinority GroupsUnited StatesBig DataHealth DisparitiesHealth InequitiesWorkforce Diversity

Identifiers

PMID28439180
PMCPMC5398168
OpenAlexW2605740302

What OpenQuestion holds

Textmetadata
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.