Skip Navigation

North Carolina State University

Superfund Research Program

Data Management and Analysis Core

Project Leader: Emily H. Griffith
Grant Number: P42ES031009
Funding Period: 2020-2025
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 Instagram page Visit the grantee's Facebook page Visit the grantee's Video page

Project Summary (2020-2025)

The Data Management and Analysis Core (DMAC) is designed to integrate results from all data streams into a true synthesis that advances environmental and public health related to per- and polyfluoroalkyl substances (PFAS). The first activity (Specific Aim) of the DMAC in establishing Center-wide data management and integration was the development of a Comprehensive Data Management Plan (cDMP). The cDMP was designed to instantiate FAIR (Findable, Accessible, Interoperable, Reusable) principles in managing Center data and was used for the coordinated development of individual project/core DMPs. A key element of the cDMP is the derivation of an ontology of data types, which recognizes that data have common elements that cross disciplinary (as well as project-specific) boundaries. This formalization of connections between nominally different data streams and assignment of individual points of contact for each type establishes the DMAC as a resource for operationalizing data integration. Subsequent DMAC Specific Aims establish processes for monitoring data analysis, providing means for visualization and sharing of results, and coordinating data-centric training activities. Thus, the DMAC enables synthesis not possible from singular projects/cores through coordination, fostering data sharing and interoperability and providing formal data quality assurance and quality control.

to Top