Data Management Core

数据管理和统计核心概述 数据管理和统计(DMS)核心将在以下方面提供生物医学信息学研究专长 数据库互操作和统计咨询提高阿尔茨海默病研究质量 由耶鲁大学ADRC和附属调查人员进行。DMS核心将为以下方面创建强大的基础设施 共享和集成各种类型的数据和软件工具，以供跨内核使用。我们将继续进入， 临床核心的登记、评估和分析所产生的数据的质量控制、管理和分析 对所有参与者进行跟踪。同样，我们将协作管理、整合和分析组织和生物体液 神经病理学和生物标志物核心的样本和数据，以及由 成像核心。DMSc将通过创建和维护红帽数据库来支持外联核心 跟踪所有表示有兴趣参与临床研究的个人，并跟踪外展 和参与活动。此外，该中心还将与国家阿尔茨海默氏症协调中心合作 (NACC)继续进行高效的数据交换，支持新的NACC程序(全球唯一标识符 GUID)和计划，并解决NACC查询。全面的统计支持(包括研究设计、 实施、数据分析和方法开发)将提供给与 耶鲁大学ADRC。重要的是，dsmc将对调查人员、实习生和初级教员进行有关原则和 使用统计分析方法。DSMC的这些活动结合在一起将确保强大的数据 整个耶鲁ADRC的管理和统计分析及其与国家研究的协调 努力。

SUMMARY OF DATA MANAGEMENT AND STATISTICS CORE The Data Management and Statistics (DMS) Core will provide biomedical informatics research expertise in database interoperation and statistical consulting to enhance the quality of Alzheimer’s Disease research conducted by the Yale ADRC and affiliated investigators. The DMS Core will create robust infrastructure for sharing and integrating diverse types of data and software tools for use across Cores. We will continue entry, quality control, management and analysis of data generated by the Clinical Core’s enrollment, evaluation, and follow-up of all participants. Similarly, we will collaboratively manage, integrate and analyze tissue and biofluid samples and data of the Neuropathology and Biomarker Cores, and neuroimaging data generated by the Imaging Core. The DMSC will support the Outreach Core by creating and maintaining a RedCap database to track all individuals who have expressed an interest in participating in clinical research, and to track outreach and engagement activities. In addition, the DSMC will work the National Alzheimer’s Coordinating Center (NACC) to continue an efficient exchange of data, support new NACC procedures (Global Unique Identifier GUID) and initiatives, and resolve NACC queries. Comprehensive statistical support (including study design, implementation, data analysis, and methodology development) will be provided for research associated with the Yale ADRC. Importantly, the DSMC will educate investigators, trainees, and junior faculty in the principles and use of statistical analysis methodologies. Together these activities of the DSMC will ensure robust data management and statistical analysis throughout the Yale ADRC and its coordination with national research efforts.