ECHO DAC (Environmental Influences on Child Health Outcomes Data Analysis Center)
ECHO DAC (Environmental Influences on Child Health Outcomes Data Analysis Center)
批准号:
10744448
负责人:
Diane J Catellier
金额:
$1450.0万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
未结题
起止时间:
2016-09-21 至 2030-05-31
关键词:
AccelerationAccountabilityAddressAdoptionAffectAttentionBiometryCharacteristicsChild DevelopmentChild HealthChildhoodCohort StudiesCollaborationsCollectionCommunicationCommunitiesComplexDataData AnalysesData CollectionData ScienceDedicationsDevelopmentDisparateEnsureEnvironmentEnvironmental ExposureEnvironmental HealthEpidemiologyEpigenetic ProcessFAIR principlesFamiliarityFamilyFosteringGenerationsGeneticGenetic Predisposition to DiseaseGeographyHealthIndividualInformaticsInformation SystemsInfrastructureInstitutionInternationalInvestigationKnowledgeLeadershipLife Cycle StagesLinkMeasuresMetadataMethodologyMethodsMissionOutcomeOutcomes ResearchParticipantPediatric ResearchPhilosophyPopulationPrincipal InvestigatorProductivityProtocols documentationPublicationsReportingReproducibilityResearchResearch DesignResearch InfrastructureResearch MethodologyResearch PersonnelResearch ProposalsResourcesRoleScienceScientistSecureSiteSpecific qualifier valueStructureSurveysSystemTranslatingUnited States National Institutes of HealthUniversitiesVisualizationadverse outcomeanalytical methodcohortdata ecosystemdata frameworkdata integrationdata managementdata qualitydata sharingdata standardsdatabase structuredesignepidemiology studyequity, diversity, and inclusionexperienceflexibilityinnovationlongitudinal analysismethod developmentmultilevel analysisnext generationnovelprogramssocialstatisticssuccesssupport toolssynergismtooltool development
中文摘要
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英文摘要
The complementary expertise and resources of Johns Hopkins University and RTI International are combined
as the NIH Environmental Influences on Child Health Outcomes (ECHO) Cohort Study Data Analysis Center
(DAC). A DAC with expertise in informatics, epidemiology and biostatistics is essential for effective longitudinal
and multi-level analyses to elucidate the influences of life course environmental and social exposures, and
genetic susceptibility on pediatric health and adverse outcomes, with attention to solution-oriented research.
System enhancements, a secured computing environment, and experience with on-boarding sites will facilitate
an efficient, and effective transition from the first cycle (ECHO1) into the next cycle (ECHO2). DAC’s familiarity
with existing ECHO sites and data enables continued productivity concurrent with implementation of ECHO2.
DAC uniquely offers deep experience in developing innovative methods for analyzing data combined from
disparate sites, as evidenced in ECHO1. DAC will broaden access and useability of ECHO Cohort data to the
scientific community. To help drive the next generation science in pediatric research, expertise in
epidemiology, statistics, informatics, pediatric outcomes, environmental exposures, and genetics is synergized
to realize these specific aims: 1) Provide a secure, uniform and flexible central framework for data capture and
storage and tracking of biospecimens, and to ensure high data quality and fidelity; 2) Provide statistical and
epidemiological expertise in the design, analysis, and interpretation of research proposals, develop innovative
and novel analytical methods where needed, and conduct analyses under direction of relevant content area
scientists to enhance the scientific rigor and reproducibility of ECHO products; 3) Enhance research
infrastructure, integrate data standards to support findable, accessible, interoperable, and reusable (FAIR)
principles to accelerate data sharing; 4) Use an organizational, reporting, and accountability structure for
optimal internal governance of the DAC and interaction with other components of the ECHO Cohort Study that
will enhance transparency, accountability, and clear communication. The proposed enhancements, tools, and
methods development for collecting, combining, and analyzing individual, geographic, family, and social data
will be key in making ECHO the premier resource for impactful epidemiological studies of pediatric health.
期刊论文(8)
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科研奖励(0)
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DOI:
10.1093/aje/kwab195
发表时间:
2022
期刊:
American journal of epidemiology
影响因子:
5
作者:
[Ogburn,ElizabethL, Rudolph,KaraE, Morello-Frosch,Rachel, Khan,Amber, Casey,JoanA]
通讯作者:
Casey,JoanA
A powerful method for pleiotropic analysis under composite null hypothesis identifies novel shared loci between Type 2 Diabetes and Prostate Cancer.
复合零假设下的多效分析的一种强大方法确定了2型糖尿病和前列腺癌之间的新型基因座。
DOI:
10.1371/journal.pgen.1009218
发表时间:
2020-12
期刊:
PLoS genetics
影响因子:
4.5
作者:
[Ray D, Chatterjee N]
通讯作者:
Chatterjee N
DOI:
10.1002/gepi.22093
发表时间:
2018-03
期刊:
Genetic epidemiology
影响因子:
2.1
作者:
[Song M, Wheeler W, Caporaso NE, Landi MT, Chatterjee N]
通讯作者:
Chatterjee N
DOI:
10.1097/mop.0000000000000602
发表时间:
2018-04
期刊:
Current opinion in pediatrics
影响因子:
3.6
作者:
[Jacobson LP, Lau B, Catellier D, Parker CB]
通讯作者:
Parker CB
ECHODAC (Environmental Influences on Child Health Outcomes Data Analysis Center)
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批准号:10240618
-
项目类别:
-
资助金额:$1589.37万
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财政年份:2016
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负责人:Diane J Catellier
-
依托单位:
TAS::75 0872::TAS ARIC DATA COORDINATING CENTER
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批准号:8354857
-
项目类别:
-
资助金额:$301.61万
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财政年份:2010
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负责人:Diane J Catellier
-
依托单位:
ARIC Neurocognitive Study (ARIC-NCS)
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批准号:7694922
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项目类别:
-
资助金额:$104.31万
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财政年份:2010
-
负责人:Diane J Catellier
-
依托单位:
ENRICHD-N01HC55140-268055140
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批准号:7191259
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项目类别:
-
资助金额:$0.0万
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财政年份:--
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负责人:Diane J Catellier
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依托单位:
ENRICHD-N01HC55140
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批准号:6994715
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项目类别:
-
资助金额:$0.0万
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财政年份:--
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负责人:Diane J Catellier
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依托单位:
海外基金