Skip Navigation

Duke University

Superfund Research Program

Data Management and Analysis Core (DMAC)

Project Leader: Amy H. Herring
Grant Number: P42ES010356
Funding Period: 2022-2027
View this project in the NIH Research Portfolio Online Reporting Tools (RePORT)

Project-Specific Links

Connect with the Grant Recipients

Visit the grantee's eNewsletter page Visit the grantee's eNewsletter page Visit the grantee's Twitter page Visit the grantee's Instagram page Visit the grantee's Facebook page Visit the grantee's Video page

Project Summary (2022-2027)

The Data Management and Analysis Core (DMAC) works closely with all Center components to provide high quality data management and analysis in support of Center research goals of exploring developmental and later- life health effects of early life exposures to PAH’s and metals. The DMAC supports management and integration of data assets across the Center through development and deployment of a Center-wide Data Asset Inventory and specific to each project (and cores conducting data collection) a comprehensive Data Management Plan, Data Quality Plan, and Statistical Analysis Plan.

DMAC provides state of the art data science and statistical analysis support to projects and cores as needed. DMAC develops ontology-backed search tools to facilitate within-Center exploration of project findings and develops and deploys innovative data visualization and search tools to help researchers (within the Center and beyond) explore Center data assets and potential connections with other relevant research.

to Top