Core C: Data Management and Statistical Core

抽象核心C：数据管理和统计核心 异质性阿尔茨海默病及相关痴呆的防治研究 需要因领域、规模和时间不同而不同的知识和信息。因此，迎接挑战 ADRD需要跨学科集成大数据、共享数据和整个密歇根州的协作 阿尔茨海默病研究中心(MADRC)和整个ADRC网络，部署适当的 统计模型，以及对科学家进行数据方法和统计方面的培训。MADRC数据管理和 统计核心(DMSc)将继续满足这些关键需求，因为它监督数据和统计分析 为MADRC服务。数据类型包括临床/神经心理测量、参与者招募/参与度 指标、遗传学、神经病理测量、神经成像和生物标记物数据，将由 DMSc。DMSc将继续确保数据满足增强的健康保险可携带性和 问责制法案(HIPAA)合规性和国家标准与技术(NIST)保障措施， IRB合规性和数据安全性。DMSc与研究教育部门(REC)密切合作 协助、培训和支持初级教员成为独立调查人员 丰富的学习环境，提高他们的统计和研究技能。的首要目标是 DMSc通过可复制的管道集成、共享和扩展数据，指导数据分析和培训 这些过程中的调查人员。与这些重要领域相对应，DMSC提出了五个 具体目标：目标1：提供自动化、用户友好、综合和安全的数据收集和 管理平台；目标2：提供可访问、集成和信息丰富的大数据和分数汇总 MADRC研究需求；目标3：与NACC和相关中心共享数据、管道和分析专业知识； 目标4：在研究过程的每个阶段提供数据分析支助和咨询；目标5：提供 为MADRC调查人员提供丰富的环境，以扩展他们的数据可视化、分析和统计 知识。DMSc将增强MADRC生成的全面和最先进的数据 通过简化数据收集和跨核心、我们的三个机构和 与国家反兴奋剂机构合作。在最初的资助期间，我们成功地构建了一个可重现的数据库平台 将历史队列信息与新的纵向参与者信息相结合。我们将扩大我们的活动 以支持两个新的核心(Biomarker和神经成像)，我们将支持新的和正在进行的研究 行动。DMSc活动将加强整个社区的研究协作和分析培训 ADRD的研究人员。有了我们经验丰富的团队，DMSC装备异常精良，以确保 MADRC为整个区域和地区的创新研究、推广和培训做出了开创性的贡献 全国范围内。

ABSTRACT – CORE C: DATA MANAGEMENT AND STATISTICAL CORE Research on prevention and treatment of heterogeneous Alzheimer’s disease and related dementias (ADRD) requires knowledge and information that varies by domain, scale and time. Thus, meeting the challenge of ADRD necessitates big data integrated across disciplines, shared data and collaboration across the Michigan Alzheimer’s Disease Research Center (MADRC) and the entire ADRC network, deployment of appropriate statistical models, and training of scientists in data methods and statistics. The MADRC Data Management and Statistical Core (DMSC) will continue to meet these critical needs as it oversees data and statistical analyses for the MADRC. Data types include clinical/neuropsychological measures, participant recruitment/engagement metrics, genetics, neuropathologic measures, neuroimaging, and biomarker data that will be integrated by the DMSC. The DMSC will continue to ensure that the data meet enhanced Health Insurance Portability and Accountability Act (HIPAA) compliance and National Institute Standards and Technology (NIST) safeguards, IRB compliance and data security. The DMSC works closely with the Research Education Component (REC) to assist, train and support junior faculty members in becoming independent investigators by providing an enriched learning environment to increase their statistical and research skills. The overarching goals of the DMSC are to integrate, share, and scale data through reproducible pipelines, guide data analyses, and train investigators in these processes. Corresponding to these areas of importance, the DMSC proposes five Specific Aims: Aim 1: Provide an automated, user friendly, integrated, and secure data collection and management platform; Aim 2: Provide accessible, integrated, and informative big data and summary scores for MADRC research needs; Aim 3: Share data, pipelines, and analytic expertise with NACC and related Centers; Aim 4: Provide data analysis support and consultation at every stage of the research process; Aim 5: Provide an enriched environment for MADRC investigators to expand their data visualization, analytical, and statistical knowledge. The DMSC will enhance the comprehensive and state-of-the-art data generated by the MADRC Cores by informing streamlined data collection and data integration across Cores, our three institutions, and with the NACC. In the initial funding period, we succeeded in building a reproducible database platform that combined historic cohort information with new longitudinal participant information. We will expand our activities to support two new Cores (Biomarker and Neuroimaging) and we will support new and ongoing research operations. DMSC activities will enhance research collaboration and analytic training across the community of ADRD researchers. With our highly experienced team, the DMSC is exceptionally well-equipped to ensure that the MADRC makes seminal contributions to innovative research, outreach, and training across the region and nationally.