# Data Science Core

> **NIH NIH P30** · UNIVERSITY OF SOUTHERN CALIFORNIA · 2023 · $558,537

## Abstract

PROJECT SUMMARY – Data Science Shared Resource
The mission of the Data Science Shared Resource (DSC) of the USC Norris Comprehensive Cancer Center
(NCCC) is to provide integrated state-of-the-art biostatistics and clinical research informatics support for cancer
research spanning basic and translational science to clinical studies, and cancer etiology to cancer control. DSC
members work with investigators on the design, conduct, analysis, and reporting of cancer research, and play a
key role in clinical trials protocol review and study monitoring in the NCCC. As such, the DSC serves as a key
foundational element in the Data Science component of the Strategic Plan, enabling infrastructure and data
platforms for all NCCC Research Programs. NCCC recruited Ming Li PhD as DSC Director and David Birtwell
MSE as Co-Director with oversight of DSC by NCCC Administration. A major development in this grant period,
DSC now expands beyond traditional biostatistics services to include clinical research informatics services to
integrate data from electronic health records to -omics platforms for analysis. DSC applies advanced and novel
statistical methods to these data, including artificial intelligence/machine learning for discovery of underlying risk
factors, prediction of population level risk, and clinical decision algorithms and tools. During the current grant
period (2015-2020), 88 NCCC members representing all five programs utilized the DSC, resulting directly in 278
publications and 13 funded cancer-related P and U grants. The anticipated annual budget of DSC in the first
year of the next grant cycle is $1,548,658, yet the CCSG request is $379,255. Accordingly, DSC leverages
extensive institutional and recharge support and seeks only 24% from CCSG funds.

## Key facts

- **NIH application ID:** 10620236
- **Project number:** 5P30CA014089-47
- **Recipient organization:** UNIVERSITY OF SOUTHERN CALIFORNIA
- **Principal Investigator:** Ming Li
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2023
- **Award amount:** $558,537
- **Award type:** 5
- **Project period:** 1996-12-01 → 2026-11-30

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10620236

## Citation

> US National Institutes of Health, RePORTER application 10620236, Data Science Core (5P30CA014089-47). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10620236. Licensed CC0.

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