# Data Science Core

> **NIH NIH P20** · UNIVERSITY OF KANSAS MEDICAL CENTER · 2024 · $410,500

## Abstract

PROJECT ABSTRACT
 The K-INBRE Data Science Core (DSC) will provide cutting-edge collaborative support to investigators
by addressing the need for computational infrastructure across the network, providing expertise in data analysis,
management, and computing, and developing a statewide system that offers high-quality data science training
to the next generation of scientists. The Director of the K-INBRE DSC, Dr. S. Brown, a KSU University
Distinguished Professor in Biology, is an expert in genome sequencing, mapping, and informatics. Dr. B. Olson,
Associate Professor of Biology at KSU and an expert in multi-omics, biochemistry, data science, and machine
learning, joins Dr. Brown at KSU. Dr. D. Koestler, a Professor in the Department of Biostatistics & Data Science,
directs the Satellite Core at KUMC. Dr. S. Macdonald, Professor of Molecular Biosciences, directs the Satellite
Core Director at KU-L. Together, the DSC leverages its expertise to pool resources and provide a broad range
of data science support to K-INBRE faculty and trainees. The multi-site leadership team offers opportunities to
leverage institution-specific infrastructure beyond the capabilities of a single-site DSC and better utilize resources
on K-INBRE network campuses. The DSC will expand an online, accelerated Master’s degree program in the
data sciences called the “4+1 program”. This program allows high-achieving undergraduates at PUIs to obtain a
data science Master’s degree from KUMC with just one additional year of coursework following the typical four
years of their undergraduate degree. The DSC will create and administer a new collaborative DSC-PUI research
award mechanism to support PUI investigators/trainees to generate data and resources/support via
collaborations with the DSC. The DSC has assembled teams of data scientists, biostatisticians, and computer
specialists to 1) work with biomedical researchers in designing experiments, analyzing data, and interpreting
results that lead to publications and grant applications; 2) collaborate with existing data science resources in
Kansas to provide access to the cyberinfrastructure required to transfer, store, analyze, and interpret large data
sets; 3) develop pipelines and databases that foster collaboration, and multidisciplinary science, 4) provide
training opportunities in the form of workshops, seminars, and student research scholarships that will facilitate
the practical application of these resources by K-INBRE trainees and faculty; and 5) develop course curricula to
train the next generation of biomedical researchers in data science. Overall, the DSC has had excellent progress
and is proactive in increasing data science scholars in Kansas.

## Key facts

- **NIH application ID:** 10874162
- **Project number:** 2P20GM103418-24
- **Recipient organization:** UNIVERSITY OF KANSAS MEDICAL CENTER
- **Principal Investigator:** SUSAN J. BROWN
- **Activity code:** P20 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2024
- **Award amount:** $410,500
- **Award type:** 2
- **Project period:** 2001-09-18 → 2029-04-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10874162

## Citation

> US National Institutes of Health, RePORTER application 10874162, Data Science Core (2P20GM103418-24). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10874162. Licensed CC0.

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