# Data Science Core (Data Analytics, Biostatistics and Database)

> **NIH NIH P50** · UT SOUTHWESTERN MEDICAL CENTER · 2022 · $239,448

## Abstract

Data Sciences Core (Core C) Project Summary/Abstract
The research proposed by the UT Lung Cancer SPORE encompasses a broad range of activities, including
studies in clinically annotated patient tumor samples, tumor cell lines, xenografts, and mouse models, as well as
human clinical trials. These studies generate multiple types of data, including clinical, histologic, genome-wide
molecular (mutation, expression), proteomic, biochemical, immunohistochemical, drug and immune response
phenotype, metabolomic, and tumor environmental. The Data Sciences Core provides comprehensive expertise
to ensure the statistical integrity, data integrity, data sharing capability, and data analysis accuracy of the studies
performed by the SPORE. The Core has a Director at each institution (Y. Xie, UTSW, and J. Wang, MDACC)
and the flexibility to match personnel to the evolving needs of existing SPORE Projects, and Developmental
Research and Career Enhancement Program (DRP, CEP) Projects. To ensure appropriate consideration of
biostatistics and data management concerns throughout all SPORE work, members of this Core participate in
monthly all-SPORE Project and Core meetings, and in the specific Data Sciences SPORE video/WebEx
conferences linking researchers at UTSW and MDACC. The Data Sciences Core will perform the following: (a)
develop and maintain systems for data storage, retrieval, analysis, and sharing; (b) provide an interface for all
SPORE investigators to exchange data and information easily and freely; (c) provide analyses to allow
investigators outside the UT Lung SPORE to have appropriate access to SPORE datasets, and to be able easily
to independently reproduce and validate biostatistical and computational analyses. The Core services include
innovative, unique, and occasionally customized approaches to solving the data analysis and interpretation
challenges of the modern data-centric research laboratory. The Core Specific Aims are: Aim 1: Provide valid
statistical designs for SPORE laboratory research, clinical trials and translational experiments. Aim 2: Oversee
and conduct innovative statistical modeling, simulations, data analyses and data integration needed by the
Projects, DRP and CEP, and Pathology Core to achieve their specific aims. Aim 3: Ensure that all complex
molecular, biologic, and clinical datasets are protected for confidentiality, analyzed, shared among SPORE
investigators and collaborators, and appropriately deposited into publically accessible databases as required,
using valid and innovative bioinformatics methods. Aim 4: Develop and maintain a secure, web-accessible site
for SPORE research data integration and storage linked to an extensive tissue repository of clinically and
molecularly annotated archived patient samples, tumor grafts, tumor and normal cell lines, and relevant mouse
models of lung cancer; we will also (a) develop and maintain centralized deposits from the literature of lung
cancer-relevant datasets in a web site (“Lu...

## Key facts

- **NIH application ID:** 10489257
- **Project number:** 5P50CA070907-23
- **Recipient organization:** UT SOUTHWESTERN MEDICAL CENTER
- **Principal Investigator:** Yang Xie
- **Activity code:** P50 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $239,448
- **Award type:** 5
- **Project period:** 1997-09-05 → 2025-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10489257

## Citation

> US National Institutes of Health, RePORTER application 10489257, Data Science Core (Data Analytics, Biostatistics and Database) (5P50CA070907-23). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10489257. Licensed CC0.

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