PMID- 36981686
OWN - NLM
STAT- MEDLINE
DCOM- 20230330
LR  - 20240510
IS  - 1660-4601 (Electronic)
IS  - 1661-7827 (Print)
IS  - 1660-4601 (Linking)
VI  - 20
IP  - 6
DP  - 2023 Mar 8
TI  - A Case Study of Enhancing the Data Science Capacity of an RCMI Program at a 
      Historically Black Medical College.
LID - 10.3390/ijerph20064775 [doi]
LID - 4775
AB  - As data grows exponentially across diverse fields, the ability to effectively 
      leverage big data has become increasingly crucial. In the field of data science, 
      however, minority groups, including African Americans, are significantly 
      underrepresented. With the strategic role of minority-serving institutions to 
      enhance diversity in the data science workforce and apply data science to health 
      disparities, the National Institute for Minority Health Disparities (NIMHD) 
      provided funding in September 2021 to six Research Centers in Minority 
      Institutions (RCMI) to improve their data science capacity and foster 
      collaborations with data scientists. Meharry Medical College (MMC), a 
      historically Black College/University (HBCU), was among the six awardees. This 
      paper summarizes the NIMHD-funded efforts at MMC, which include offering 
      mini-grants to collaborative research groups, surveys to understand the needs of 
      the community to guide project implementation, and data science training to 
      enhance the data analytics skills of the RCMI investigators, staff, medical 
      residents, and graduate students. This study is innovative as it addressed the 
      urgent need to enhance the data science capacity of the RCMI program at MMC, 
      build a diverse data science workforce, and develop collaborations between the 
      RCMI and MMC's newly established School of Applied Computational Science. This 
      paper presents the progress of this NIMHD-funded project, which clearly shows its 
      positive impact on the local community.
FAU - Wang, Qingguo
AU  - Wang Q
AUID- ORCID: 0000-0002-5125-3724
AD  - Department of Computer Science & Data Science, School of Applied Computational 
      Sciences, Meharry Medical College, Nashville, TN 37208, USA.
FAU - Gupta, Vibhuti
AU  - Gupta V
AUID- ORCID: 0000-0002-6221-4712
AD  - Department of Computer Science & Data Science, School of Applied Computational 
      Sciences, Meharry Medical College, Nashville, TN 37208, USA.
FAU - Cao, Aize
AU  - Cao A
AUID- ORCID: 0000-0002-8046-8118
AD  - Department of Biomedical Data Science, School of Applied Computational Sciences, 
      Meharry Medical College, Nashville, TN 37208, USA.
FAU - Singhal, Ashutosh
AU  - Singhal A
AUID- ORCID: 0000-0002-9172-1916
AD  - Department of Biomedical Data Science, School of Applied Computational Sciences, 
      Meharry Medical College, Nashville, TN 37208, USA.
FAU - Gary, Todd
AU  - Gary T
AD  - Department of Biomedical Data Science, School of Applied Computational Sciences, 
      Meharry Medical College, Nashville, TN 37208, USA.
FAU - Adunyah, Samuel E
AU  - Adunyah SE
AD  - Department of Biochemistry, Cancer Biology, Neurosciences and Pharmacology, 
      Meharry Medical College, Nashville, TN 37208, USA.
LA  - eng
GR  - OT2 OD032581/OD/NIH HHS/United States
GR  - S21 MD012472/MD/NIMHD NIH HHS/United States
GR  - U54 MD007586/MD/NIMHD NIH HHS/United States
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
PT  - Research Support, U.S. Gov't, Non-P.H.S.
DEP - 20230308
PL  - Switzerland
TA  - Int J Environ Res Public Health
JT  - International journal of environmental research and public health
JID - 101238455
SB  - IM
MH  - Humans
MH  - *Minority Groups/education
MH  - *Data Science
MH  - Universities
MH  - Students
MH  - Black or African American
PMC - PMC10048727
OTO - NOTNLM
OT  - HBCU
OT  - RCMI
OT  - data science
OT  - diversity
OT  - health disparities
COIS- We have no conflicts of interest to report.
EDAT- 2023/03/30 06:00
MHDA- 2023/03/30 06:11
PMCR- 2023/03/08
CRDT- 2023/03/29 01:32
PHST- 2023/01/31 00:00 [received]
PHST- 2023/03/03 00:00 [revised]
PHST- 2023/03/06 00:00 [accepted]
PHST- 2023/03/30 06:11 [medline]
PHST- 2023/03/29 01:32 [entrez]
PHST- 2023/03/30 06:00 [pubmed]
PHST- 2023/03/08 00:00 [pmc-release]
AID - ijerph20064775 [pii]
AID - ijerph-20-04775 [pii]
AID - 10.3390/ijerph20064775 [doi]
PST - epublish
SO  - Int J Environ Res Public Health. 2023 Mar 8;20(6):4775. doi: 
      10.3390/ijerph20064775.