Project Summary
Although this is a revised submission of the Baylor-Rice Superfund Research Program (SRP)
grant, the Data Management and Analysis Core (DMAC) is a completely new, and indeed,
required core. The team represented by this Core is not new to data management or to multi-
project programs of research and has a strong track-record of experience and accomplishment.
The Data Management and Analysis Core (DMAC) will act as the central hub for the SRP. The
DMAC will provide for storage, annotation, and integration of multidisciplinary data generated by
the biomedical projects P2, P3, P4 and the engineering projects P1 and P5. The DMAC has the
following aims: 1) Implement a robust and comprehensive Data Management Plan; 2) Provide
expert analysis in the specialized areas of statistics and bioinformatics for all Projects; 3) Develop
new SRP-related data and management and data analysis methods; 4) Provide data
management and analysis education and training for the graduate students and postdoctoral
trainees connected with Superfund projects. The DMAC will act as the central resource for
storage and cross-project access to chemical, physical, biological, and multi-omics data
generated by the SRP projects and cores. In collaboration with the SRP investigators, the DMAC
will accept a wide variety of data formats, not just ‘big data’, and will systematically incorporate
metadata describing samples and laboratory conditions. The DMAC will leverage the extensive
experience and infrastructure of the Duncan Cancer Center’s Biostatistics and Informatics Shared
Resource, especially for biobanking and sample information management. We will work with the
engineering projects to extend this infrastructure to the engineering projects. The DMAC will carry
out primary and integrative data analysis for the biomedical projects and engineering projects.
The analysis arm of the DMAC will provide advanced integrative methods spanning both omics
and engineering data, including omics/phenotypes/chemical data multivariate regression and
deep learning. In consultation with the Administrative Core and SRP investigators, the DMAC will
enact data governance policies, enabling appropriate role-based access to data, primary and
secondary analyses for investigators from the SRP, and from other SRPs nation-wide. The DMAC
will submit the data to appropriate national repositories for each data type, and enhance the ability
of the scientific community to find and retrieve the data, guided by the FAIR principles.
Public Health Relevance Statement
Project narrative
The Data Management and Analysis Core provides comprehensive and essential data
management support, bioinformatics analysis, statistical consultation and assistance with
education to Projects and Cores of the Superfund Research. It will implement a relatively simple
but comprehensive Data Management Plan (DMP). The combined data analyses and integration
have the potential to lead to novel mechanistic insights that would not be apparent to individual
projects or cores.
NIH Spending Category
No NIH Spending Category available.
Project Terms
AreaAromatic Polycyclic HydrocarbonsBig DataBioinformaticsBiologicalBiometryCancer CenterChemicalsChronic lung diseaseClinicalCodeCollaborationsCommunitiesComplexConsultationsDataData AnalysesData Coordinating CenterData EngineeringDetectionEducationEducational process of instructingEducational workshopEngineeringFAIR principlesFundingGalaxyGrantIndividualInformation ManagementInfrastructureJournalsLaboratoriesLife Cycle StagesMalignant NeoplasmsMetadataMethodsMonitorMultiomic DataNeurocognitive DeficitOutcomePhenotypePoliciesPostdoctoral FellowPremature BirthPreventionProcessProgram Research Project GrantsProteomicsReproducibilityResearchResearch MethodologyResearch PersonnelResourcesRiceRoleSTEM researchSamplingSuperfundTechnologyTestingTraining and EducationWorkarmbiobankdata centersdata formatdata integrationdata managementdata submissiondeep learningearly life exposureexperiencegraduate studentinformatics shared resourceinsightlearning progressionmeetingsmembermetabolomicsmultidisciplinarymultiple omicsnovelprogramsquality assuranceremediationrepositorysecondary analysissharing platformstatisticssuccesssymposiumtooluser-friendlyweb portal
National Institute of Environmental Health Sciences
CFDA Code
DUNS Number
051113330
UEI
FXKMA43NTV21
Project Start Date
28-February-2020
Project End Date
31-January-2026
Budget Start Date
01-February-2024
Budget End Date
31-January-2025
Project Funding Information for 2024
Total Funding
$117,592
Direct Costs
$60,773
Indirect Costs
$56,819
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Environmental Health Sciences
$117,592
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 5P42ES027725-05 6888
Publications
Publications are associated with projects, but cannot be identified with any particular year of the project or fiscal year of funding. This is due to the continuous and cumulative nature of knowledge generation across the life of a project and the sometimes long and variable publishing timeline. Similarly, for multi-component projects, publications are associated with the parent core project and not with individual sub-projects.
No Publications available for 5P42ES027725-05 6888
Patents
No Patents information available for 5P42ES027725-05 6888
Outcomes
The Project Outcomes shown here are displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed are those of the PI and do not necessarily reflect the views of the National Institutes of Health. NIH has not endorsed the content below.
No Outcomes available for 5P42ES027725-05 6888
Clinical Studies
No Clinical Studies information available for 5P42ES027725-05 6888
News and More
Related News Releases
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History
No Historical information available for 5P42ES027725-05 6888
Similar Projects
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