Data Science & Analytics
UNC Superfund Research Program - Data Management and Analysis Core (DMAC)
Description
The interdisciplinary Superfund Research Program at the University of North Carolina at Chapel Hill (UNC-SRP) addresses serious public health challenges faced by communities in North Carolina (NC) and across the nation related to inorganic arsenic (iAs). Our unique scientific theme is “Identifying novel methods to reduce iAs exposure and elucidating mechanisms underlying iAs-induced metabolic dysfunction with a vision for disease prevention.” We address this with three aims: (1) Discover biological mechanisms and susceptibility factors underlying iAs-associated metabolic dysfunction/diabetes; (2) Develop novel methods and technologies to predict iAs contamination and reduce iAs exposure; (3) Translate the science of the UNC-SRP to key stakeholders in NC and the larger SRP program, and engage vulnerable communities. Five Cores include the Administrative Core, the Community Engagement Core, Data management and Analysis Core (DMAC), Research Experience and Training Coordination Core (RETCC), and Chemistry and Analysis Core (CAC).
RENCI’s EDS group is also collaborating on a DMAC supplemental project to develop an environmental health data visualization tool called NC Enviroscan.
RENCI's Role
Stan Ahalt is Contact PI, and Chris Lenhardt is a Co-Investigator for the Data Management and Analysis Core (DMAC)