UofL SRP Data Management and Analysis Core (DMAC)

The Data Management and Analysis Core (DMAC) indexes research-generated data and provides access and statistical support to collaborators of the University of Louisville's Superfund Research Center.

About the DMAC 

The DMAC provides two main services: access to a data repository and statistical analysis assistance to SRC investigators and research collaborators. The UofL DMAC assures the authenticity and quality of samples for long-term storage and secondary analysis.

The Core also provides scientifically valid and rigorous statistical analysis of data and support the development of innovative methods to enhance the basic and translational research efforts of Center investigators. It provides state-of-the-art biostatistics and bioinformatics expertise and analytical support. Core biostatisticians develop new statistical methods, such as quantitative risk assessment models, multipollutant exposure analysis, and land-use regression models, for estimating cardiometabolic disease risk in exposed populations and for the analysis and evaluation of exposures and health effects.

In collaboration with other projects and cores, DMAC statisticians harmonize the data by defining standards (e.g., creating searchable data dictionaries and defining variables) relevant for each project. This Core allows Center investigators easy access to high quality, centralized data management and statistical services, and permits biostatisticians to be involved from the initial planning stage of a project (when statistical consultation is most beneficial) throughout its implementation, analysis and completion. The DMAC provides a stable and collegial environment that fosters long-term working relationships between biostatisticians and investigators and promotes sophisticated approaches to experimental design and analysis.  

Core Leaders

, Principal Investigator 

, Co-Investigator


Get Data

UL Superfund Center (ULSRC) Data

Visit the ULSRC's AWS-S3 Data Repository

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Other Resources

Data Management and Data Interoperability Workshop

This webinar series is intended to foster and enable best practice data management towards data interoperability in Louisville and across Superfund Programs to accelerate the impact of research for environmental health.