Data Management and Analysis Core (DMAC)

We provide the UNC-Superfund Research Program with critical expertise in bioinformatics, statistics, data management and data integration. Our goal is to support the data management, integration, and analysis needs of the researchers to reveal multi-factorial determinants of inorganic arsenic-induced metabolic dysfunction/diabetes.

The data management component of DMAC is housed in the Renaissance Computing Institute (RENCI) and analytical support of the DMAC is made possible through the UNC-Department of Statistics.

DMAC

The DMAC will integrate UNC-SRP data across research projects to understand risks of inorganic arsenic exposure

Our three major aims are to:

  • Develop and coordinate the UNC-SRP Data Management Plan, including data life cycle management protocols in accordance with the data sharing plan, for all UNC-SRP research projects.
  • Facilitate high quality, project-specific research activities by implementing state-of the art bioinformatic and biostatistical methods including analysis of high dimensional -omics data, biological pathway analyses and visualizations, and geostatistical modeling and visualization tools.
  • Integrate UNC-SRP data across research projects to understand risks of inorganic arsenic exposure and mechanisms underlaying inorganic arsenic-associated metabolic disease/diabetes.

By making data Findable, Accessible, Interoperable and Reusable (FAIR), the DMAC will maximize the impact and optimize the path to identifying high impact insights into metabolic disease/diabetes and inorganic arsenic exposure and remediation evaluations.

Core Leaders

Stanley Ahalt

Dr. Stanley Ahalt

Stanley Ahalt, PhD
Professor, Director, RENCI
UNC-Chapel Hill


Fei Zou

Dr. Fei Zou

Fei Zou, PhD
Professor, Department of Biostatistics
Gillings School of Global Public Health
UNC-Chapel Hill


Julia Rager

Dr. Julia Rager

Julia Rager, PhD
Assistant Professor, Department of Environmental Sciences and Engineering
Gillings School of Global Public Health
UNC-Chapel Hill

 

Co-Investigators

Kimberly Robasky

Dr. Kimberly Robasky

Kimberly Robasky, PhD
Adjunct Assistant Professor, Genetics & Sr. Translational Research Scientist, RENCI
UNC-Chapel Hill


Haibo Zhou

Dr. Haibo Zhou

Haibo Zhou, PhD
Professor, Department of Biostatistics
Gillings School of Global Public Health
UNC-Chapel Hill