Data Management and Analysis Core
数据管理与分析核心
基本信息
- 批准号:10622448
- 负责人:
- 金额:$ 43.58万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2022
- 资助国家:美国
- 起止时间:2022-05-15 至 2027-02-28
- 项目状态:未结题
- 来源:
- 关键词:AddressAreaAsiaBayesian ModelingBioinformaticsBiological MarkersBiometryBloodCardiovascular DiseasesCaringChronic DiseaseClinicalCollaborationsCollectionCommunicationComplexComputational BiologyDataData AnalysesData AnalyticsData ScienceData SetDatabasesDedicationsDetectionDevelopmentDocumentationEcological momentary assessmentEngineeringEnsureEnvironmentEnvironmental ExposureEpigenetic ProcessEquationEvaluationFundingGoalsHealthHuman ResourcesIndiaInfrastructureInstitutionInternationalLeadLongitudinal SurveysMachine LearningMeasurementMethodologyMethodsModelingMonitorNational Heart, Lung, and Blood InstitutePathway interactionsPersonsPhenotypePlayPostdoctoral FellowProceduresProgram Research Project GrantsProtocols documentationPublic HealthReproducibilityReproducibility of ResultsResearchResearch DesignResearch MethodologyResearch PersonnelResearch Project GrantsResourcesRisk ReductionRoleSamplingSecureSourceSouth AsianTechniquesTechnologyTraining ProgramsUniversitiesUrineWorkanalytical methodanalytical toolbiobankcardiometabolic riskcardiovascular disorder epidemiologycardiovascular disorder preventioncardiovascular disorder riskcohortcomplex datadata cleaningdata complexitydata managementdata sharingdata streamsdata visualizationdata-driven modeldigitaldisease diagnosticdisease phenotypedisorder controldisorder preventiondiverse dataepidemiological modelepigenomicsexperiencefollow-upgraduate studentheterogenous datahigh dimensionalityindexinginnovationlearning strategylongitudinal analysismachine learning methodmachine learning predictionmetabolomicsmodel developmentmultidimensional datamultiple omicspredictive modelingsensorservice programsstatistical and machine learningstructured datasynergismwearable device
项目摘要
PROJECT SUMMARY / ABSTRACT (Data Management and Analysis Core)
The Data Management and Analysis (DMA) Core will provide comprehensive data science support for the
Program Project Grant (PPG): Precision Cardiovascular Disease Phenotyping and Pathophysiological
Pathways in the CARRS cohort (Precision-CARRS). The overarching goal of the DMA Core is to maintain
high scientific rigor in the management and analysis of large and complex datasets. The DMA Core will be
based at Emory University and the Center for Chronic Disease Control (CCDC) in India. The DMA Core will
include 8 investigators with comprehensive data science expertise and a dedicated team of database engineer,
data managers and biostatisticians from both the US and India. The DMA Core will oversee data
management, data sharing, and the development of common analytic frameworks to promote integration and
synergy across the interconnected aims of the Precision-CARRS Projects. The DMA Core will work closely
with the Administrative and Field Coordination (AFC) Core and the CVD Phenotyping Core to ensure high
quality data capture and documentation, as well as to provide continuous infrastructure and management for
all research data from Precision-CARRS (Aim 1). By leveraging and expanding existing data platforms, we will
establish workflows and protocols for consistent data cleaning, harmonization, monitoring and documentation
for diverse datasets, including longitudinal surveys, subclinical and clinical phtenotypes, blood and urine
biomarker measurements, environmental exposures, and data from high-throughput omics technologies and
digital sensors. The DMA Core will also work closely with all Reseach Projects to provide centralized support
for data analysis using state-of-the-art biostatistics, bioinformatics and maching learning methods (Aim 2).
Specifically, the DMA Core will create synchronized analytic plans for both epidemiologic modeling and
predictive equation development across projects. To provide integrated and timely data science support
throughout the PPG, two DMA Core investigators (one from Emory and one from CCDC) will serve as liaisons
for each Core and Project. Finally, the DMA core will support the development of new and innovative analytic
methods motivated by the scientific goals of Precision-CARRS (Aim 3). The DMA Core is particularly poised to
contribute in the areas of machine learning for predictive health, latent variable models for handling multivariate
and structured data, high-dimensional methods for multi-omics, and integrative analysis of heterogeneous data
types. In summary, the DMA Core will be an integral component for Precision-CARRS by offering essential
data management and analysis support for PPG research aims, while enhancing the reliability, relevance and
reproducility of the PPG’s findings to utlimately sustain the long-term impact and collaborative potential of
Precision-CARRS.
项目总结/摘要(数据管理和分析核心)
数据管理和分析(DMA)核心将为
计划项目补助金(PPG):精确心血管疾病表型和病理生理学
CARRS队列中的通路(Precision-CARRS)。DMA核心的首要目标是维护
在管理和分析大型复杂数据集方面具有高度的科学严谨性。DMA核心将是
位于埃默里大学和印度慢性病控制中心(CCDC)。DMA核心将
包括8名具有全面数据科学专门知识调查员和一个专门的数据库工程师小组,
来自美国和印度的数据经理和生物统计学家。DMA核心将监督数据
管理、数据共享和制定共同分析框架,以促进一体化,
Precision-CARRS项目相互关联的目标之间的协同作用。DMA核心将与
与行政和外地协调(AFC)核心和CVD表型核心,以确保高
高质量的数据捕获和记录,以及提供持续的基础设施和管理
所有研究数据均来自Precision-CARRS(目标1)。通过利用和扩展现有数据平台,我们将
建立一致的数据清理、协调、监测和记录工作流程和协议
对于不同的数据集,包括纵向调查,亚临床和临床phtenotypes,血液和尿液
生物标志物测量、环境暴露和来自高通量组学技术的数据,
数字传感器。DMA核心还将与所有研究项目密切合作,提供集中支持
使用最先进的生物统计学、生物信息学和机器学习方法进行数据分析(目标2)。
具体来说,DMA核心将为流行病学建模和
跨项目的预测方程开发。提供综合和及时的数据科学支持
在整个PPG中,两名DMA核心调查员(一名来自埃默里,一名来自CCDC)将担任联络员
每个核心和项目。最后,DMA核心将支持新的创新分析
由Precision-CARRS的科学目标(目标3)驱动的方法。DMA核心特别准备
在预测健康的机器学习,处理多变量的潜在变量模型等领域做出贡献
和结构化数据,多维组学的高维方法,以及异构数据的综合分析
类型总之,DMA核心将成为Precision-CARRS的一个组成部分,
数据管理和分析支持PPG研究目标,同时提高可靠性,相关性和
PPG的研究结果的可重复性,以充分维持长期的影响和合作潜力,
精密-CARRS。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Howard H Chang其他文献
The Effect of Novel Antipsychotics on Cognitive Function
新型抗精神病药对认知功能的影响
- DOI:
10.3928/0048-5713-19991101-10 - 发表时间:
1999 - 期刊:
- 影响因子:0.5
- 作者:
I. Berman;D. Klegon;H. Fiedosewicz;Howard H Chang - 通讯作者:
Howard H Chang
Air pollution exposure in vitrified oocyte donors and male recipient partners in relation to fertilization and embryo quality
- DOI:
10.1016/j.envint.2024.109147 - 发表时间:
2024-11-01 - 期刊:
- 影响因子:
- 作者:
Sarah LaPointe;Jaqueline C Lee;Zsolt P Nagy;Daniel B Shapiro;Howard H Chang;Yifeng Wang;Armistead G Russell;Heather S Hipp;Audrey J Gaskins - 通讯作者:
Audrey J Gaskins
Is There a Distinct Subtype of Obsessive-Compulsive Schizophrenia?
强迫性精神分裂症是否存在独特的亚型?
- DOI:
10.3928/0048-5713-20001001-09 - 发表时间:
2000 - 期刊:
- 影响因子:0.5
- 作者:
I. Berman;Howard H Chang;D. Klegon - 通讯作者:
D. Klegon
Obsessive-Compulsive Symptoms in Schizophrenia: Neuropsychological Perspectives
精神分裂症的强迫症状:神经心理学观点
- DOI:
10.3928/0048-5713-19990901-09 - 发表时间:
1999 - 期刊:
- 影响因子:0.5
- 作者:
I. Berman;Howard H Chang;D. Klegon - 通讯作者:
D. Klegon
Treatment Issues for Patients With Schizophrenia Who Have Obsessive-Compulsive Symptoms
有强迫症状的精神分裂症患者的治疗问题
- DOI:
- 发表时间:
1999 - 期刊:
- 影响因子:0
- 作者:
Howard H Chang;I. Berman - 通讯作者:
I. Berman
Howard H Chang的其他文献
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{{ truncateString('Howard H Chang', 18)}}的其他基金
Methods for Estimating Disease Burden of Seasonal Influenza
估计季节性流感疾病负担的方法
- 批准号:
10682150 - 财政年份:2023
- 资助金额:
$ 43.58万 - 项目类别:
Climate & Health Actionable Research and Translation Center
气候
- 批准号:
10835462 - 财政年份:2023
- 资助金额:
$ 43.58万 - 项目类别:
Neighborhood transportation vulnerability and geographic patterns of diabetes-related limb loss
社区交通脆弱性和糖尿病相关肢体丧失的地理模式
- 批准号:
10680610 - 财政年份:2022
- 资助金额:
$ 43.58万 - 项目类别:
Neighborhood transportation vulnerability and geographic patterns of diabetes-related limb loss
社区交通脆弱性和糖尿病相关肢体丧失的地理模式
- 批准号:
10539547 - 财政年份:2022
- 资助金额:
$ 43.58万 - 项目类别:
Data Integration Methods for Environmental Exposures with Applications to Air Pollution and Asthma Morbidity
环境暴露数据集成方法及其在空气污染和哮喘发病率中的应用
- 批准号:
10288264 - 财政年份:2021
- 资助金额:
$ 43.58万 - 项目类别:
Climate Penalty: Climate-driven Increases in Ozone and PM2.5 Levels and Mortality
气候惩罚:气候驱动的臭氧和 PM2.5 水平和死亡率增加
- 批准号:
10372176 - 财政年份:2021
- 资助金额:
$ 43.58万 - 项目类别:
Dust storms and emergency department visits in four southwestern US states
美国西南部四个州遭遇沙尘暴和急诊室就诊
- 批准号:
10372201 - 财政年份:2021
- 资助金额:
$ 43.58万 - 项目类别:
Extreme heat events and pregnancy duration: a national study
极端高温事件与怀孕持续时间:一项全国性研究
- 批准号:
10159262 - 财政年份:2018
- 资助金额:
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Extreme heat events and pregnancy duration: a national study
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9914101 - 财政年份:2018
- 资助金额:
$ 43.58万 - 项目类别:
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