GGrantIndex
← Search

Data Management and Analysis Core

$212,629P42FY2025ESNIH

University Of Southern California, Los Angeles CA

Investigators

Abstract

DATA MANAGEMENT AND ANALYSIS CORE: PROJECT SUMMARY The Data Management and Analysis Core (DMAC) will serve as the centralized hub for the data generated across all projects from the Southern California Superfund Research and Training Program for PFAS Assessment, Remediation and Prevention Center (ShARP). This includes: Single cell RNA-transcriptomic (scRNA-Seq), single-cell (sc)ATAC-seq, proteomics, and metabolomics data that will be generated as part of Project 1 and used to inform analysis in Project 2 and Project 4; PFAS plasma concentrations, clinical data including liver fat, questionnaire data including diet and drinking water consumption habits, and residential history for Project 2 and used to inform analysis in Project 1; Measurements and predictions of targeted and untargeted PFAS levels in various environmental matrices generated from measurements and prediction models developed in Project 3 and used to inform analysis in Project 1; and data on estimated PFAS levels following novel PFAS remediation strategies, including the percent reduction in PFAS levels under different treatment strategies and data on partially defluorinated chemicals generated in Project 4 and used to inform analysis in Project 1, Project 2, and Project 3. This diverse data requires a comprehensive data solution consisting of a locally stored database, and a cloud-based data and analysis system that facilitates data integration. The DMAC will support cores and projects via comprehensive data quality control pipelines, available for utilization by all cores and projects, and extensive statistical and bioinformatics support and expertise reflected in DMAC personnel. As a cohesive unit, the DMAC will leverage familiarity with data resources and commonalities of analysis across projects and cores and will provide additional supplemental support for integrated statistical analysis and cross- component access of joint results across projects. The core functionalities of the DMAC will enable the widespread accessibility that is critical to ensuring the success of ShARP.

View original record on NIH RePORTER →