Data Management and Statistics Core

数据管理和统计核心

• 批准号: 10675656
• 负责人: Jonathan L Haines
• 金额: $ 32.48万
• 依托单位: CLEVELAND CLINIC LERNER COM-CWRU
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-01 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10675656
• 关键词: Adopted; Agreement; Alzheimer' s Disease; Alzheimer' s Disease Core Center; Alzheimer' s disease related dementia; Area; Biological Markers; Biometry; Clinical; Clinical Data; Collaborations; Collection; Communities; Complication; Computational Biology; Data; Data Analyses; Data Management Resources; Data Set; Databases; Enrollment; Environment; Error Sources; Family; Foundations; Funding; Generations; Genetic; Genetic Diseases; Genomics; Goals; Human Resources; Image; Individual; Informatics; Infrastructure; Institution; Lead; Longitudinal Studies; Machine Learning; Measures; Methods; National Institute on Aging; Neurodegenerative Disorders; Paper; Participant; Policies; Positioning Attribute; Privacy; Procedures; Process; Recording of previous events; Records; Research; Research Design; Research Personnel; Resources; Sampling; Secure; Security; System; Training; Universities; data acquisition; data format; data integration; data management; data mining; data storage site; design; electronic data; electronic data sharing; empowerment; experience; follow-up; human disease; improved; research study; software infrastructure; statistics; success; virtual

PROJECT SUMMARY The success of research studies in any human disease, but particularly Alzheimer's disease (AD) and AD-related dementias (ADRD), is critically dependent on the collection, generation, management, analysis, and interpretation of large, varied, and detailed data sets. The overall goal of the Data Management and Statistical Core (DMSC) is to empower AD/ADRD researchers to acquire, manage, analyze, and interpret their data. To do this, we leverage existing institutional infrastructure and provide the necessary expertise for the Cleveland Alzheimer's Disease Center (CADRC). This goal will be accomplished through three specific aims. Specific Aim 1 provides a comprehensive data management platform for the collection, aggregation, and management of the relevant data. We will leverage the infrastructure of the Cleveland Institute for Computational Biology (CICB), which has developed a safe and secure computational environment for data capture and management that is available to all the participating institutions (the SHED [Safely Held Electronic Data] data management system). The SHED uses a tier III secure computational environment along with both computational and policy access and privacy controls. The system easily integrates a wide variety of data formats and provides methods for participant and sample tracking for longitudinal studies. Comprehensive training for CADRC personnel is provided. Specific Aim 2 enhances interactivity with the other cores, investigators, and external databases. Through the efforts of the Administrative Core, participating institutions have institutional agreements to capture and share electronic data through the SHED. All investigators and staff across the CADRC institutions have controlled access to the SHED. We have put into place processes internally for interacting with each of the CADRC cores, and externally for interactions with databases and users such as the National Alzheimer's Coordinating Center (NACC) and the National Institute for Aging Genetics of Alzheimer's Disease Data Storage site (NIAGADS). Specific Aim 3 provides biostatistical, study design, and data analysis support to the CADRC. The DMSC provides support for these activities through access to a wide range of expertise including biostatistical (Drs. Tatsuoka and Feng), genomic (Drs. Haines and Feng), and imaging (Dr. Tatsuoka). Dr. Feng also brings expertise in data integration and machine learning to the CADRC. Substantial technical support will be provided by a master's level analyst. The DMSC is well positioned to accommodate the data management and data analysis needs of the CADRC, its investigators, and the broader AD/ADRD research community.

项目总结 任何人类疾病研究的成功，特别是阿尔茨海默病(AD)和 AD相关痴呆(ADRD)，严重依赖于收集、生成、管理、分析和 对大量、多样和详细的数据集的解释。数据管理和统计的总体目标 核心(DMSc)旨在使AD/ADRD研究人员能够获取、管理、分析和解释他们的数据。至 做到这一点，我们利用现有的机构基础设施，并为克利夫兰提供必要的专业知识 老年痴呆症中心(CADRC)。这一目标将通过三个具体目标来实现。 特定目标1提供了一个全面的数据管理平台，用于收集、聚合和 相关数据的管理。我们将利用克利夫兰计算研究所的基础设施 生物(CICB)，它已经开发了一个安全可靠的计算环境来捕获数据和 可供所有参与机构使用的管理(机棚[安全保存的电子数据]数据 管理系统)。该机房使用第三级安全计算环境以及 计算和策略访问以及隐私控制。该系统可以轻松地集成各种数据 为纵向研究的参与者和样本跟踪格式化并提供方法。全面 为CADRC人员提供培训。 具体目标2加强了与其他核心、调查人员和外部数据库的互动。 通过行政核心的努力，参与机构有机构协议要获取 并通过棚子共享电子数据。CADRC机构的所有调查人员和工作人员都 控制着通往棚子的通道。我们已经在内部建立了流程，用于与每个 CADRC核心，外部用于与数据库和用户交互，如国家阿尔茨海默氏症 协调中心(NACC)和国家阿尔茨海默病老化遗传学研究所的数据存储 网站(NIAGADS)。 特定目标3为CADRC提供生物统计学、研究设计和数据分析支持。DMSc 通过获得包括生物统计学在内的广泛专业知识，为这些活动提供支持。 Tatsuoka和冯博士)、基因组学(海恩斯和冯博士)和成像(Tatsuoka博士)。冯博士还带来了 向CADRC提供数据集成和机器学习方面的专业知识。将提供实质性的技术支持 由一位硕士级别的分析师。 DMSc定位良好，可满足数据管理和数据分析需求 CADRC、其调查人员以及更广泛的AD/ADRD研究界。