# Hawaii Data Science Training for RCMI Researchers

> **NIH NIH U54** · UNIVERSITY OF HAWAII AT MANOA · 2021 · $317,955

## Abstract

Project Summary
There is little doubt that biomedical science has become data intensive science. In the last decade, we have
witnessed the booming of new biomedical technologies generate massive amounts of bio-data. This massive
data includes various types of “omics”-data, Electronic Health Record (EHR) data, petabytes of imaging, and so
on. It is now feasible to access and mine the massive amount of clinical and phenotypic data. Data science skills
involve how to use computational methods and algorithms to analyze, manage, and interpret different types of
data, and require interdisciplinary knowledge such as biomedical domain knowledge, computational
programming, statistics, and mathematics. Research Centers in Minority Institutions (RCMI) funded projects are
often conducted in minority institutions and lack sufficient data science skills and data scientist experts to perform
data intensive biomedical research. It is therefore essential to train data science skills for RCMI investigators.
Located in the middle of the Pacific Ocean, it is difficult for Hawaii-based investigators studying health disparities
to travel to the US continent to receive structured data science training and project-focused analytical support
and interactive training. Hawaii investigators desperately need local data science trainers. The data science
team at John A. Burns School of Medicine (JABSOM) University of Hawaii has rich experience in training data
science skills to students and different levels of investigators, as well as supporting their data science needs in
their research projects. In the proposal, we aim to train RCMI investigators with next generation data science
skills. To reach the goal, we plan to accomplish the following aims. Aim 1: Provide education and training of
data science-related skills to RCMI Researchers and their collaborators. Aim 2: Enhance collaborations between
RCMI -funded researchers and data scientists. In addition to training RCMI investigators and their collaborators
in a group in Aim 1, we will also offer individual data science training for investigators to foster collaborations
between investigators and our data science experts.

## Key facts

- **NIH application ID:** 10452388
- **Project number:** 3U54MD007601-35S3
- **Recipient organization:** UNIVERSITY OF HAWAII AT MANOA
- **Principal Investigator:** Jerris Robert Hedges
- **Activity code:** U54 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $317,955
- **Award type:** 3
- **Project period:** 1997-09-01 → 2022-09-19

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10452388

## Citation

> US National Institutes of Health, RePORTER application 10452388, Hawaii Data Science Training for RCMI Researchers (3U54MD007601-35S3). Retrieved via AI Analytics 2026-05-26 from https://api.ai-analytics.org/grant/nih/10452388. Licensed CC0.

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