# Core C: Data Management and Analysis Core (DMAC)

> **NIH NIH P42** · UNIV OF NORTH CAROLINA CHAPEL HILL · 2021 · $232,663

## Abstract

ABSTRACT: DATA MANAGEMENT AND ANALYSIS CORE
The Data Management and Analysis Core (DMAC) provides critical support for UNC-SRP researchers to
manage and analyze data related to the theme, “Identifying novel methods to reduce iAs exposure and
elucidating mechanisms underlying iAs-induced metabolic dysfunction with a vision for disease prevention.” The
goal of the DMAC is to support the data management, integration, and analysis needs of the UNC-SRP
researchers to reveal multi-factorial determinants of iAs-induced metabolic dysfunction/diabetes. The
data management component of DMAC is housed in the Renaissance Computing Institute (RENCI). The
analytical support of the DMAC is made possible through the UNC-Department of Statistics. Each of the projects
in the SRP will work closely with DMAC for bioinformatic, statistical, and data science needs. By making data
Findable, Accessible, Interoperable and Reusable (FAIR), the DMAC will maximize the impact and optimize the
path to identifying high impact insights. The UNC-SRP scientists in Biomedical Projects 1-3 will generate a broad
suite of data types that includes iAs-associated microRNAs, transcription factors, and bacterial presence in the
gut microbiome. Environmental Projects 4-5 will generate data relevant to iAs levels in North Carolina (NC) and
iAs reduction via filtration. The DMAC will provide state-of-the-art data management, stewardship, and analysis
for these diverse types of data. Specifically, the DMAC will: first, develop UNC-SRP-wide comprehensive Data
Management Plan to include high quality data generation and systems that foster sharing and interoperability;
second, facilitate UNC-SRP Project-specific research activities by implementing state-of-the-art bioinformatic
and biostatistical methods; and third, integrate UNC-SRP data across Projects 1-5 to understand risks of iAs
exposure and mechanisms underlying iAs-associated metabolic dysfunction/diabetes. Together, the DMAC will
provide the UNC-SRP with essential expertise in data management, bioinformatics, statistics, and data
integration and critically contribute to the team fulfilling its mission- to develop new solutions for iAs reduction
and disease prevention through mechanistic and translational research.

## Key facts

- **NIH application ID:** 10112260
- **Project number:** 5P42ES031007-02
- **Recipient organization:** UNIV OF NORTH CAROLINA CHAPEL HILL
- **Principal Investigator:** Stanley Carlton Ahalt
- **Activity code:** P42 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $232,663
- **Award type:** 5
- **Project period:** 2020-02-20 → 2025-01-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10112260

## Citation

> US National Institutes of Health, RePORTER application 10112260, Core C: Data Management and Analysis Core (DMAC) (5P42ES031007-02). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10112260. Licensed CC0.

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