Core C-Data Management & Statistics Core

核心C：数据管理和统计核心 项目摘要/摘要 高效、干净和有组织的数据，以及有效、灵活和可重复的统计设计和 分析技术是实现UCI ADRC科学使命的不可或缺的组成部分： 发现、量化和验证在整个生命周期内影响AD风险的因素。首要目标是 数据管理和统计核心(DMSc)的目的是向所有人提供后勤和智力支持 ADRC调查人员参与科学项目的各个阶段。数据管理支持包括全面的 统一数据集(UDS)和所有ADRC项目产生的数据管理和传播。 DMSc人员负责国家阿尔茨海默氏症协调中心(NACC)的发展 经核准的收集表格，维护非洲发展研究中心的数据库，并及时将准确的数据转移到 全国反兴奋剂机构。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。在建议的 在研究期间，项目将包括开发和验证新的数据收集机制 协调异类大数据流，以及开发新的统计方法 高效的生物标志物发现和验证。这些针对DMSc的研究努力将增加 DMSc对整个科学界的智力贡献，也将导致改进 收集、录入和分析通过地方ADRC项目获得的复杂数据的方法。 好了！

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. !