# Data Science Shared Resource

> **NIH NIH P30** · VANDERBILT UNIVERSITY MEDICAL CENTER · 2022 · $735,250

## Abstract

CORE 006 – DATA SCIENCE SHARED RESOURCE
PROJECT SUMMARY/ABSTRACT
 The mission of the Data Science Shared Resource (DSSR) is to provide professional expertise in
biostatistics, bioinformatics and clinical research informatics for all Vanderbilt-Ingram Cancer Center (VICC)
investigators. Functions provided by the DSSR include: development of experimental designs, power and sample
size analysis; data acquisition and database development; patient identification within the electronic health
record (eHR); statistical and bioinformatics analysis and interpretation of findings; collaboration on presentation
of results; education in biostatistics and bioinformatics methods; and development of tools/methods with
application to laboratory and clinical research. To achieve these functions, the DSSR Director, co-Director, and
program leaders are constantly available to VICC investigators. The primary objectives of the DSSR are: 1) to
ensure scientific rigor and reproducibility in all VICC studies through key services: experimental design; accurate
and reliable data capture; and appropriate, reproducible analysis techniques; 2) to provide study design and
power and sample size analysis, as well as to review all laboratory, animal, clinical, omics and prevention studies,
including a feasibility assessment that considers both technical feasibility as well as patient population analytics
(as appropriate); 3) to collaborate in providing statistical and bioinformatics data analysis, interpretation of
results, and the writing of final study reports and manuscripts; 4) to develop and evaluate statistical and
bioinformatics methods and software for experimental design, visualization and data analysis; 5) to provide
custom database design, data entry, data tracking, forms, queries, and reports, and to maintain electronic data
capture (EDC) systems for information storage and retrieval, as well as for study, participant, and/or specimen
management, for investigator-initiated clinical trials, other clinical research, or laboratory studies; 6) to work with
the Clinical Trials Shared Resource (CTSR) and VICC investigators to develop research project databases, to
maintain data quality control and ensure timely data capture; 7) to work with the Genomic Sciences Shared
Resource (GSSR) in the development of bioinformatics tools and pipelines, to ensure data quality control and
provide novel computational biology support; 8) to train VICC members in research design and data analysis
through seminars, workshops and individual sessions; 9) to catalyze research productivity by providing common
informatics support including software development, shared research applications and shared research
infrastructure; 10) to aid in translating “genomically-enabled” best practices into clinical decision support; 11) to
develop infrastructure, processes and frameworks to aid in identifying patient populations within the electronic
health record; 12) to ensure HIPAA compliance in use of patie...

## Key facts

- **NIH application ID:** 10488745
- **Project number:** 5P30CA068485-27
- **Recipient organization:** VANDERBILT UNIVERSITY MEDICAL CENTER
- **Principal Investigator:** Yu Shyr
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $735,250
- **Award type:** 5
- **Project period:** 1998-09-01 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10488745

## Citation

> US National Institutes of Health, RePORTER application 10488745, Data Science Shared Resource (5P30CA068485-27). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10488745. Licensed CC0.

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