Data Management and Analysis Core
数据管理与分析核心
基本信息
- 批准号:10353209
- 负责人:
- 金额:$ 15.98万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-08-15 至 2027-06-30
- 项目状态:未结题
- 来源:
- 关键词:AddressAdultAdverse effectsAffectAirAutoimmunityBasic ScienceBayesian MethodBehaviorBiological MarkersBiometryBiostatistical MethodsCharacteristicsChemicalsChronicClassificationCollaborationsCommunitiesCommunity HealthComplexComplex AnalysisContractsDataData AnalysesData AnalyticsData CollectionData SetData Storage and RetrievalDatabasesDevelopmentDiabetes MellitusDiseaseDocumentationEducational workshopElementsEnsureEnvironmental ExposureEnvironmental HealthEtiologyExposure toFAIR principlesFacultyFoodFosteringFoundationsGenerationsGoalsHealthHealth Disparities ResearchHypertensionImmuneImmune responseInfrastructureIngestionInhalationInterdisciplinary StudyInterventionJointsKidney DiseasesLife StyleLinkMachine LearningManuscriptsMediatingMetadataMetal exposureMetalsMethodologyMethodsModelingModernizationMonitorNative AmericansNavajoOutcomeParticipantPathway interactionsPhasePopulation StudyPositioning AttributePractice ManagementProcessProductivityProtocols documentationPsychosocial StressQuality ControlRegulationReportingReproducibilityResearchResearch DesignResearch PersonnelResearch Project GrantsResearch SupportRiskRisk FactorsRoleSafetySample SizeScientistSecuritySocioeconomic StatusSourceStandardizationStatistical Data InterpretationStatistical MethodsStatistical ModelsSuperfundSystemTechniquesToxic effectToxicant exposureTrainingTraining ActivityTranslatingTranslational ResearchUraniumWaterWorkbasebiological researchcommunity engagementdata integrationdata interoperabilitydata managementdata qualitydata repositorydata reusedata sharingdata visualizationdesigndisorder preventiondisorder riskenvironmental health disparityexperiencegut microbiomehigh dimensionalityimprovedinnovationlarge datasetslecturesmembermetal complexmetal poisoningmicrobiomemultidisciplinarynovelpopulation healthpreventive interventionprogramspublic health relevancequality assurancesoundtooltribal landswasting
项目摘要
PROJECT SUMMARY – Data Management and Analysis Core (DMAC)
The Data Management and Analysis Core (DMAC) provides state-of-the-art data management support and
cutting-edge statistical and geospatial analysis assistance for the Research Projects and Cores of UNM METALS
Phase 2 Center. The DMAC will be co-directed by Li Luo and Yan Lin with complementary and collaborative
experience in biostatistical and geospatial analyses to manage all aspects of the Core. DMAC members include
eight quantitative scientists with complementary expertise in data management and statistical and geospatial
analysis for a variety of scientific domains. DMAC members have backgrounds and expertise in modern data
management, biostatistical methods, geospatial analysis, Bayesian methods, causal inference, as well as
analyses of data from basic science, translational research, population studies, and environmental health
disparities research. The team members have collaborated for over five years on multiple environmental health
projects, and have streamlined the workflow from data collection, quality control, statistical and geospatial
analysis support, and methodology developments to enhance the analysis of complex metal mixtures. The
DMAC will implement and provide data management support that is compliant with four foundational principles:
Findability, Accessibility, Interoperability, and Reusability (FAIR). DMAC will develop and utilize a centralized
data repository that connects different types of data storage systems and FAIR platforms to faciliate data sharing
and integration. The data and analytical support provided by the Core will contribute to many aspects of the
research process including, but not limited to, efficient study design, appropriate monitoring of data safety,
enhanced data management capacity, state-of-the-art statistical and geospatial analyses, assistance in the
development of study protocols and contract proposals, as well as sample size and power calculations. In
addition, DMAC members will assist Research Projects and Cores in preparing summary analytical reports and
manuscripts. Furthermore, DMAC will develop integrated statistical and geospatial modeling to refine the risk
classification based on study participants’ comprehensive environmental exposure profile, and to understand the
mechanisms of the adverse effects of toxic exposures on the health outcomes mediated through intermediate
biomarkers. Core faculty will also provide educational opportunities to Center investigators and trainees through
lectures, workshops, and hands-on training. The collaborative efforts of Core members will contribute not only
to effectively pursuing hypothesis-driven research questions but also to developing novel research questions
and methods for complex analyses of large datasets. Core members will work closely with METALS Research
Projects and Cores to develop and integrate new methodologies into various research projects. The DMAC is
well-positioned to promote multidisciplinary research collaboration and develop analytical strategies to contribute
to the successful completion and integration of Research Projects and Cores within the METALS Center.
数据管理和分析核心(DMAC)
数据管理和分析核心(DMAC)提供最先进的数据管理支持,
为UNM METALS的研究项目和核心提供尖端的统计和地理空间分析援助
二期中心。DMAC将由李洛和颜林共同执导,
在生物统计和地理空间分析方面的经验,以管理核心的各个方面。DMAC成员包括
八名定量科学家,在数据管理、统计和地理空间方面具有互补专长
分析各种科学领域。DMAC成员拥有现代数据的背景和专业知识
管理,生物统计方法,地理空间分析,贝叶斯方法,因果推理,以及
基础科学、转化研究、人口研究和环境健康数据分析
差距研究。团队成员在多个环境健康领域合作了五年多
项目,并简化了从数据收集、质量控制、统计和地理空间
分析支持和方法开发,以加强复杂金属混合物的分析。的
DMAC将实施并提供符合四项基本原则的数据管理支持:
可查找性、可访问性、互操作性和可重用性(FAIR)。DMAC将开发和利用一个集中的
连接不同类型的数据存储系统和FAIR平台以促进数据共享的数据存储库
和融合。核心小组提供的数据和分析支持将有助于在许多方面促进
研究过程,包括但不限于有效的研究设计,适当的数据安全性监测,
数据管理能力得到加强,最新的统计和地理空间分析,
制定研究方案和合同提案,以及样本量和功效计算。在
此外,国防军事咨询委员会成员将协助研究项目和核心小组准备分析报告摘要,
手稿此外,DMAC将开发综合统计和地理空间建模,以细化风险
根据研究参与者的综合环境暴露概况进行分类,并了解
毒性暴露对健康结果的不利影响的机制通过中间介导
生物标志物。核心教师还将通过以下方式为中心的研究人员和学员提供教育机会:
讲座、研讨会和实践培训。核心成员的合作努力不仅有助于
有效地追求假设驱动的研究问题,但也开发新的研究问题,
以及用于大型数据集的复杂分析的方法。核心成员将与METALS Research密切合作
项目和核心,以开发和整合新的方法到各种研究项目。DMAC是
有能力促进多学科研究合作,并制定分析战略,
成功完成并整合金属中心的研究项目和核心。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Li Luo其他文献
Li Luo的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Li Luo', 18)}}的其他基金
Hierarchical statistical modeling and causal inference approaches to elucidate exposure pathways underlying health disparities
分层统计模型和因果推理方法阐明健康差异背后的暴露途径
- 批准号:
10372187 - 财政年份:2015
- 资助金额:
$ 15.98万 - 项目类别:
Hierarchical statistical modeling and causal inference approaches to elucidate exposure pathways underlying health disparities
分层统计模型和因果推理方法阐明健康差异背后的暴露途径
- 批准号:
10062404 - 财政年份:2015
- 资助金额:
$ 15.98万 - 项目类别:
Hierarchical statistical modeling and causal inference approaches to elucidate exposure pathways underlying health disparities
分层统计模型和因果推理方法阐明健康差异背后的暴露途径
- 批准号:
10589163 - 财政年份:2015
- 资助金额:
$ 15.98万 - 项目类别:
Hierarchical statistical modeling and causal inference approaches to elucidate exposure pathways underlying health disparities
分层统计模型和因果推理方法阐明健康差异背后的暴露途径
- 批准号:
10218051 - 财政年份:2015
- 资助金额:
$ 15.98万 - 项目类别:
相似海外基金
Co-designing a lifestyle, stop-vaping intervention for ex-smoking, adult vapers (CLOVER study)
为戒烟的成年电子烟使用者共同设计生活方式、戒烟干预措施(CLOVER 研究)
- 批准号:
MR/Z503605/1 - 财政年份:2024
- 资助金额:
$ 15.98万 - 项目类别:
Research Grant
Early Life Antecedents Predicting Adult Daily Affective Reactivity to Stress
早期生活经历预测成人对压力的日常情感反应
- 批准号:
2336167 - 财政年份:2024
- 资助金额:
$ 15.98万 - 项目类别:
Standard Grant
RAPID: Affective Mechanisms of Adjustment in Diverse Emerging Adult Student Communities Before, During, and Beyond the COVID-19 Pandemic
RAPID:COVID-19 大流行之前、期间和之后不同新兴成人学生社区的情感调整机制
- 批准号:
2402691 - 财政年份:2024
- 资助金额:
$ 15.98万 - 项目类别:
Standard Grant
Migrant Youth and the Sociolegal Construction of Child and Adult Categories
流动青年与儿童和成人类别的社会法律建构
- 批准号:
2341428 - 财政年份:2024
- 资助金额:
$ 15.98万 - 项目类别:
Standard Grant
Elucidation of Adult Newt Cells Regulating the ZRS enhancer during Limb Regeneration
阐明成体蝾螈细胞在肢体再生过程中调节 ZRS 增强子
- 批准号:
24K12150 - 财政年份:2024
- 资助金额:
$ 15.98万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Understanding how platelets mediate new neuron formation in the adult brain
了解血小板如何介导成人大脑中新神经元的形成
- 批准号:
DE240100561 - 财政年份:2024
- 资助金额:
$ 15.98万 - 项目类别:
Discovery Early Career Researcher Award
RUI: Evaluation of Neurotrophic-Like properties of Spaetzle-Toll Signaling in the Developing and Adult Cricket CNS
RUI:评估发育中和成年蟋蟀中枢神经系统中 Spaetzle-Toll 信号传导的神经营养样特性
- 批准号:
2230829 - 财政年份:2023
- 资助金额:
$ 15.98万 - 项目类别:
Standard Grant
Usefulness of a question prompt sheet for onco-fertility in adolescent and young adult patients under 25 years old.
问题提示表对于 25 岁以下青少年和年轻成年患者的肿瘤生育力的有用性。
- 批准号:
23K09542 - 财政年份:2023
- 资助金额:
$ 15.98万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Identification of new specific molecules associated with right ventricular dysfunction in adult patients with congenital heart disease
鉴定与成年先天性心脏病患者右心室功能障碍相关的新特异性分子
- 批准号:
23K07552 - 财政年份:2023
- 资助金额:
$ 15.98万 - 项目类别:
Grant-in-Aid for Scientific Research (C)
Issue identifications and model developments in transitional care for patients with adult congenital heart disease.
成人先天性心脏病患者过渡护理的问题识别和模型开发。
- 批准号:
23K07559 - 财政年份:2023
- 资助金额:
$ 15.98万 - 项目类别:
Grant-in-Aid for Scientific Research (C)