Core C: Data Management and Statistical Core
核心C:数据管理与统计核心
基本信息
- 批准号:10652560
- 负责人:
- 金额:$ 40.92万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2021
- 资助国家:美国
- 起止时间:2021-08-15 至 2026-06-30
- 项目状态:未结题
- 来源:
- 关键词:Alzheimer&aposs DiseaseAlzheimer&aposs disease related dementiaAreaBasic ScienceBioinformaticsBiometryBostonClinical ResearchCollaborationsComputer softwareDataData AnalysesData AnalyticsData CollectionData Management ResourcesData SecurityData SetData SourcesDatabasesDevelopmentE-learningEffectivenessEnsureExperimental DesignsFacultyFundingGenomicsImageInformation SystemsInfrastructureIngestionJointsLeadLeadershipMachine LearningManuscriptsMethodologyMethodsMissionModelingParticipantPersonsPhasePopulationPractice ManagementPreparationProceduresProductivityPublicationsQualifyingQuality ControlReportingResearchResearch DesignResearch PersonnelResearch Project GrantsResource SharingResourcesScientific Advances and AccomplishmentsSecureSecuritySelection BiasSoftware ToolsSpecimenStatistical Data InterpretationSystemTechniquesTissuesTrainingTranslational ResearchUniversitiesWritinganalytical methodanalytical toolcohortcostdata explorationdata managementdata qualitydata sharingdata visualizationdatabase designdesigndiverse dataeducation researchelectronic dataexperienceimprovedinstrumentlongitudinal analysismachine learning algorithmmachine learning methodnovelphenotypic dataquality assurancesoftware infrastructuresoundstatisticsuser-friendlyweb platform
项目摘要
The primary mission of the Data Management and Statistics Core (DMSC) is to provide leadership and
expertise in all phases of data collection, management, and analysis, from development of new research
projects to publication of results. Our overall aims are to maximize the impact of the Boston University
Alzheimer's Disease Research Center (BU ADRC) resources by ensuring sound experimental and analytical
design, to harmonize, integrate, and share research data generated by the BU ADRC, and provide the
analytical tools and expertise investigators need to advance the field of AD and ADRD research.
The main objectives of the DMSC are to 1) maintain an integrated, user-friendly data management system that
provides the highest quality data, security, and integrity; 2) to provide active and integral collaboration in
methodological design and statistical analysis to all ADRC Cores and investigators; and 3) to provide systems
and support for user-driven analysis and resource sharing, including uniform data for the National Alzheimer's
Coordinating Center (NACC), as well as managing systems for provision of data, tissue, and participant
information for ADRC and other collaborators. The DMSC has considerable experience in systems and
procedures, including: (i) centralization and integration of all ADRC data systems, and system enhancements
to ensure data confidentiality and security, (ii) integration of new data collection instruments and electronic data
capture modules, (iii) integration of CTE projects and the RHI cohort in ADRC data base infrastructure, (iv)
development of new statistical methodologies. The DMSC will expand and enhance ADRC systems including
state-of-the-art hardware, software and expertise, to effectively manage and analyze research data generated
by the ADRC. Careful coordination and cooperation with all data-generating cores is a critical component of
our plan to integrate and maximize the effectiveness of our diverse daa. We will leverage BU resources,
including expertise in cutting-edge statistics, bioinformatics, and machine learning to implement best-practice
management and analysis of data resulting from the ADRC.
1. To provide and maintain centralized data management, harmonization, and integration of the rich and
diverse data sources generated by all other ADRC cores. 2. To maintain, enhance, and extend software tools
and infrastructure that enables qualified investigators to access and interact with all managed data. 3. To
provide advice, expertise, and training in the design and conduct of data analysis projects using DMSC
managed data. 4. To develop novel analytical methods in support of ADRC research aims.
数据管理和统计核心(DMSc)的主要任务是提供领导和
在数据收集、管理和分析的所有阶段,从新研究的开发中获得专业知识
从项目到成果的发布。我们的总体目标是最大化波士顿大学的影响力
阿尔茨海默病研究中心(BU ADRC)资源,确保可靠的实验和分析
设计,以协调、集成和共享由BU ADRC生成的研究数据,并提供
调查人员需要分析工具和专业知识来推进AD和ADRD研究领域。
DMSc的主要目标是1)维护一个集成的、用户友好的数据管理系统,该系统
提供最高质量的数据、安全性和完整性;2)在
对所有ADRC核心和调查人员进行方法学设计和统计分析;以及3)提供系统
并支持用户驱动的分析和资源共享,包括国家阿尔茨海默氏症的统一数据
协调中心(NACC)以及提供数据、组织和参与者的管理系统
为ADRC和其他合作者提供的信息。DMSc在系统和系统方面拥有丰富的经验
程序,包括:(1)所有ADRC数据系统的集中和整合,以及系统改进
确保数据的机密性和安全性;(2)整合新的数据收集工具和电子数据
捕获模块;(3)将CTE项目和RHI队列整合到ADRC数据库基础设施中;(4)
发展新的统计方法。DMSc将扩展和增强自抗扰系统,包括
最先进的硬件、软件和专业知识,可有效管理和分析生成的研究数据
由ADRC提供。与所有数据生成核心的仔细协调和合作是
我们计划整合和最大限度地发挥我们多样化的DAA的有效性。我们将利用BU资源,
包括尖端统计、生物信息学和机器学习方面的专业知识,以实施最佳实践
管理和分析ADRC产生的数据。
1.提供和维护集中的数据管理、协调和整合
由所有其他ADRC核心生成的各种数据源。2.维护、增强和扩展软件工具
以及使合格调查人员能够访问所有托管数据并与其交互的基础设施。3.至
在使用DMSc设计和实施数据分析项目方面提供建议、专业知识和培训
托管数据。4.开发新的分析方法,支持自抗扰控制的研究目标。
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 }}
Yorghos Tripodis其他文献
Yorghos Tripodis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('Yorghos Tripodis', 18)}}的其他基金
相似国自然基金
新型F-18标记香豆素衍生物PET探针的研制及靶向Alzheimer's Disease 斑块显像研究
- 批准号:81000622
- 批准年份:2010
- 资助金额:20.0 万元
- 项目类别:青年科学基金项目
阿尔茨海默病(Alzheimer's disease,AD)动物模型构建的分子机理研究
- 批准号:31060293
- 批准年份:2010
- 资助金额:26.0 万元
- 项目类别:地区科学基金项目
跨膜转运蛋白21(TMP21)对引起阿尔茨海默病(Alzheimer'S Disease)的γ分泌酶的作用研究
- 批准号:30960334
- 批准年份:2009
- 资助金额:22.0 万元
- 项目类别:地区科学基金项目
相似海外基金
Pathophysiological mechanisms of hypoperfusion in mouse models of Alzheimer?s disease and small vessel disease
阿尔茨海默病和小血管疾病小鼠模型低灌注的病理生理机制
- 批准号:
10657993 - 财政年份:2023
- 资助金额:
$ 40.92万 - 项目类别:
Social Connectedness and Communication in Parents with Huntington''s Disease and their Offspring: Associations with Psychological and Disease Progression
患有亨廷顿病的父母及其后代的社会联系和沟通:与心理和疾病进展的关联
- 批准号:
10381163 - 财政年份:2022
- 资助金额:
$ 40.92万 - 项目类别:
The Role of Menopause-Driven DNA Damage and Epigenetic Dysregulation in Alzheimer s Disease
更年期驱动的 DNA 损伤和表观遗传失调在阿尔茨海默病中的作用
- 批准号:
10531959 - 财政年份:2022
- 资助金额:
$ 40.92万 - 项目类别:
The Role of Menopause-Driven DNA Damage and Epigenetic Dysregulation in Alzheimer s Disease
更年期驱动的 DNA 损伤和表观遗传失调在阿尔茨海默病中的作用
- 批准号:
10700991 - 财政年份:2022
- 资助金额:
$ 40.92万 - 项目类别:
Interneurons as early drivers of Huntington´s disease progression
中间神经元是亨廷顿病进展的早期驱动因素
- 批准号:
10518582 - 财政年份:2022
- 资助金额:
$ 40.92万 - 项目类别:
Interneurons as Early Drivers of Huntington´s Disease Progression
中间神经元是亨廷顿病进展的早期驱动因素
- 批准号:
10672973 - 财政年份:2022
- 资助金额:
$ 40.92万 - 项目类别:
Social Connectedness and Communication in Parents with Huntington''s Disease and their Offspring: Associations with Psychological and Disease Progression
患有亨廷顿病的父母及其后代的社会联系和沟通:与心理和疾病进展的关联
- 批准号:
10585925 - 财政年份:2022
- 资助金额:
$ 40.92万 - 项目类别:
Oligodendrocyte heterogeneity in Alzheimer' s disease
阿尔茨海默病中的少突胶质细胞异质性
- 批准号:
10180000 - 财政年份:2021
- 资助金额:
$ 40.92万 - 项目类别:
Serum proteome analysis of Alzheimer´s disease in a population-based longitudinal cohort study - the AGES Reykjavik study
基于人群的纵向队列研究中阿尔茨海默病的血清蛋白质组分析 - AGES 雷克雅未克研究
- 批准号:
10049426 - 财政年份:2021
- 资助金额:
$ 40.92万 - 项目类别:
Repurposing drugs for Alzheimer´s disease using a reverse translational approach
使用逆翻译方法重新利用治疗阿尔茨海默病的药物
- 批准号:
10295809 - 财政年份:2021
- 资助金额:
$ 40.92万 - 项目类别:














{{item.name}}会员




