Data Management and Analysis Core
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.
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
Dr. Stanley Ahalt
Stanley Ahalt, PhD
Professor, Director, RENCI
UNC-Chapel Hill
Dr. Fei Zou
Fei Zou, PhD
Professor, Department of Biostatistics
Gillings School of Global Public Health
UNC-Chapel Hill
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
Chris Lenhardt
Chris Lenhardt
Data Management and Analysis Core
Senior Research Scientist
Renaissance Computing Institute (RENCI)
UNC-Chapel Hill
Dr. Haibo Zhou
Haibo Zhou, PhD
Professor, Department of Biostatistics
Gillings School of Global Public Health
UNC-Chapel Hill
