Core C-Data Management & Statistics Core

核心C：数据管理和统计核心 项目概要/摘要 高效、干净、有组织的数据，以及有效、灵活、可重复的统计设计， 分析技术，是实现UCI ADRC科学使命的一个组成部分： 发现、量化和验证影响整个生命周期中AD风险的因素。总体目标 数据管理和统计核心（DMSC）的任务是为所有人提供后勤和智力支持， ADRC调查员参与科学项目的各个阶段。数据管理支持包括全面 统一数据集（UDS）和所有ADRC项目产生的数据的数据管理和传播。 DMSC人员负责国家阿尔茨海默氏症协调中心（NACC）的发展 批准的收集表格，维护ADRC数据库，并及时将准确的数据转移到 NACC。DMSC的教职员工也将密切参与概念，设计，实施， 分析和报告ADRC成员进行的研究。DMSC强调定期 与ADRC调查人员沟通，并积极参与ADRC赞助的项目。DMSC 还促进其成员之间的独立研究计划的发展。在拟议 研究期间，项目将包括开发和验证新的数据收集机制， 协调异构的大数据流，以及开发新的统计方法， 有效的生物标志物发现和验证。这些DMSC特定的研究工作将增加 DMSC对整个科学界的智力贡献，也将导致改善 收集、输入和分析通过当地ADRC项目获得的复杂数据的方法。 !

Core C: Data Management and Statistical Core Project Summary/Abstract Efficient, clean, and organized data, together with valid, flexible, and reproducible statistical design and analysis techniques, are an integral component to achieving the scientific mission of the UCI ADRC: to discover, quantify, and validate factors that influence the risk of AD across the lifespan. The overarching goal of the Data Management and Statistical Core (DMSC) is to provide logistical and intellectual support to all ADRC investigators at all phases of scientific projects. Data management support includes comprehensive data management and dissemination of data arising from the Uniform Data Set (UDS) and all ADRC projects. DMSC personnel are responsible for the development of National Alzheimer's Coordinating Center (NACC) approved collection forms, maintenance of the ADRC database, and the timely transfer of accurate data to the NACC. DMSC faculty and staff will also be intimately involved in the conception, design, implementation, analysis, and reporting of research conducted by members of the ADRC. The DMSC emphasizes regular communication with ADRC investigators and proactive involvement in ADRC-sponsored projects. The DMSC also promotes the development of independent research programs among its members. During the proposed research period, projects will include the development and validation of novel data collection mechanisms for harmonizing heterogenous Big Data streams, as well as the development of novel statistical methodology for efficient biomarker discovery and validation. These DMSC-specific research endeavors will increase the intellectual contribution of the DMSC to the scientific community at large, and will also lead to improved methods for collecting, entering, and analyzing complex data obtained through local ADRC projects. !