Data Management and Statistics Core

数据管理和统计核心

• 批准号: 10474597
• 负责人: Jonathan L Haines
• 金额: $ 32.02万
• 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/10474597
• 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; Collection; Communities; Complication; Computational Biology; Custom; 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; Institutes; 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; experience; follow-up; genomic data; human disease; imaging genetics; 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.

项目概要 任何人类疾病的研究取得成功，尤其是阿尔茨海默病 (AD) 和 AD 相关痴呆 (ADRD) 严重依赖于收集、产生、管理、分析和 对大型、多样且详细的数据集的解释。数据管理与统计的总体目标 核心 (DMSC) 旨在帮助 AD/ADRD 研究人员获取、管理、分析和解释他们的数据。到 为此，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 阿尔茨海默病中心 (CADRC)。这一目标将通过三个具体目标来实现。 具体目标 1 提供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 Biology (CICB)，开发了一个用于数据捕获和分析的安全可靠的计算环境 所有参与机构均可使用的管理（SHED [安全保存的电子数据] 数据 管理系统）。 SHED 使用 III 级安全计算环境以及 计算和策略访问以及隐私控制。该系统轻松集成各种数据 格式并提供纵向研究参与者和样本跟踪的方法。综合的 为 CADRC 人员提供培训。 具体目标 2 增强了与其他核心、研究人员和外部数据库的交互性。 通过行政核心的努力，参与机构达成了机构协议，以捕获 并通过 SHED 共享电子数据。 CADRC 各机构的所有调查人员和工作人员均已 对 SHED 的访问进行控制。我们在内部制定了与每个人互动的流程 CADRC 核心，以及外部与数据库和用户（例如国家阿尔茨海默病中心）的交互 协调中心（NACC）和国家老年痴呆症遗传学研究所数据存储 网站（NIAGADS）。 具体目标 3 为 CADRC 提供生物统计、研究设计和数据分析支持。动态管理中心 通过获得包括生物统计在内的广泛专业知识（博士）为这些活动提供支持。 Tatsuoka 和 Feng）、基因组（Haines 和 Feng 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。将提供实质性技术支持 由硕士水平的分析师。 DMSC 能够很好地满足数据管理和数据分析的需求 CADRC、其研究人员以及更广泛的 AD/ADRD 研究界。