Awardee OrganizationCOLUMBIA UNIVERSITY HEALTH SCIENCES
Description
Abstract Text
SUMMARY – STUDY DESIGN AND DATA SCIENCE FACILITY CORE (DATA FC)
The overall goal of the Study Design and Data Science Facility Core (Data FC) is to facilitate the use of cutting-
edge study design, biostatistical, and data science methods related to laboratory, basic, patient-oriented, and
population-based research within the Center for Environmental Health and Justice in Northern Manhattan
(CEHJNM). CEHJNM has a long history of robust study design, database design, and data analytics support
coordinated by the Data FC. During the ongoing cycle, the Data FC has provided intellectual assistance and
computational infrastructure to plan, conduct, and analyze studies via: (a) support for the design of laboratory,
basic experimental, clinical, and population-based research; (b) data management expertise and services; (c)
facilitation of the use of publicly available large data sources; and (d) biostatistical and epidemiological
consultations. The Core collaborates with a wide range of Columbia University (CU) programs to provide
scientific training on cutting-edge methods such as causal inference, geospatial analysis, environmental
mixtures, statistical genomics, advanced coding, and data science. It will also provide services to support
compliance with the current NIH data sharing requirements.
The Data FC will continue to help investigators identify, access, and interpret data sources; manage large data
sets; create visualizations to aid in understanding such data; and assist in developing and implementing
statistical models. The Data FC team has expertise in environmental data science, geospatial analysis,
population-based study data analysis, statistical genomics, multi-omics, biomarker data, and complex survey
design. We will establish formal ties to multiple CU partners to bring additional resources and expertise in
artificial intelligence, advanced machine learning, electronic medical records, systems biology, and data
science training. We will also develop a repository of code in statistical programming languages to support the
analyses of Center member projects. The Data FC will continue to offer services free of charge for CEHJNM
projects (depending on consultation level) and free-of-charge consultations on the design and analysis of
CEHJNM-funded Pilot Projects to ensure high-quality study designs and sound statistical analysis plans.
By promoting high-quality, relevant environmental health analyses, the Data FC enables the CEHJNM to
achieve its mission to understand health concerns caused by environmental exposures and address
environmental inequities through translational science and partnerships.
Public Health Relevance Statement
Data not available.
NIH Spending Category
No NIH Spending Category available.
Project Terms
AddressApplied ResearchAreaArtificial IntelligenceBiological MarkersBiometryChargeClinicalCodeCollaborationsCommunitiesComplexComputerized Medical RecordConsultationsCore FacilityDataData AnalysesData AnalyticsData ScienceData SourcesDoctor of PhilosophyEnsureEnvironmental Engineering technologyEnvironmental ExposureEnvironmental HealthEpidemiologistEpidemiologyFacultyFundingGenomicsGoalsHealthInstitutionIntervention StudiesLaboratoriesLeadershipLinkMachine LearningManuscriptsMethodsMissionNational Institute of Environmental Health SciencesPilot ProjectsPopulation ResearchPopulation StudyPostdoctoral FellowProgramming LanguagesPublic Health SchoolsRecording of previous eventsReproducibilityResearchResearch DesignResearch PersonnelResourcesRoleServicesShamanismStatistical Data InterpretationStatistical ModelsStudentsSurveysSystems BiologyTrainingTraining and EducationTranslational ResearchUnited States National Institutes of HealthUniversitiesVisualizationartificial intelligence methodbiomedical informaticscomplex datacomputer infrastructuredata managementdata science educationdata sharingdatabase designdesigneducation resourceselectronic medical record systemenvironmental disparityenvironmental justicehigh dimensionalityimplementation studylarge datasetsmembermultiple omicspatient orientedprogramsrepositorysoundstatistical learningsuccess
National Institute of Environmental Health Sciences
CFDA Code
DUNS Number
621889815
UEI
QHF5ZZ114M72
Project Start Date
01-July-1998
Project End Date
14-March-2025
Budget Start Date
01-May-2024
Budget End Date
30-April-2025
Project Funding Information for 2024
Total Funding
$159,869
Direct Costs
$97,185
Indirect Costs
$62,684
Year
Funding IC
FY Total Cost by IC
2024
National Institute of Environmental Health Sciences
$159,869
Year
Funding IC
FY Total Cost by IC
Sub Projects
No Sub Projects information available for 5P30ES009089-26 8182
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 5P30ES009089-26 8182
Patents
No Patents information available for 5P30ES009089-26 8182
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 5P30ES009089-26 8182
Clinical Studies
No Clinical Studies information available for 5P30ES009089-26 8182
News and More
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History
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Similar Projects
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