Core C-Data Management & Statistics Core

核心 C 数据管理

• 批准号: 10188383
• 负责人: Daniel L Gillen
• 金额: $ 43.8万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-15 至 2025-02-28
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10188383
• 关键词: Alzheimer' s Disease; Architecture; Big Data; Biological Markers; California; Clinical; Clinical Data; Clinical Trials Design; Collaborations; Collection; Communication; Communities; Conceptions; Consultations; Data; Data Collection; Data Set; Database Management Systems; Databases; Development; Devices; Education; Electrocardiogram; Ensure; Event; Faculty; Funding; Goals; Graph; Heart Rate; Human Resources; Image; Lead; Logistics; Longevity; Maintenance; Methodology; Methods; Mission; Modeling; Observational Study; Pathologic; Phase; Postdoctoral Fellow; Process; Protocols documentation; Reporting; Reproducibility; Research; Research Personnel; Research Project Grants; Risk; Sampling Biases; Secure; Standardization; Statistical Methods; Techniques; Testing; Time; Training; Training and Education; Universities; Validation; biomarker discovery; biomarker validation; complex data; data dissemination; data management; data streams; design; digital; flexibility; heterogenous data; high dimensionality; improved; informal learning; innovation; member; next generation; novel; predictive modeling; programs; research and development; research study; semiparametric; statistical and machine learning; statistics

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. !

核心C：数据管理与统计核心 项目概要/摘要 高效、干净、有组织的数据，以及有效、灵活和可重复的统计设计和 分析技术是实现 UCI ADRC 科学使命不可或缺的组成部分： 发现、量化和验证影响整个生命周期 AD 风险的因素。总体目标 数据管理和统计核心（DMSC）的职责是为所有人员提供后勤和智力支持 ADRC 研究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数据传播。 DMSC 人员负责国家阿尔茨海默病协调中心 (NACC) 的发展 批准收集表格、维护 ADRC 数据库以及及时将准确数据传输至 国家航空航天委员会。 DMSC 的教职员工也将密切参与构思、设计、实施、 ADRC 成员进行的研究的分析和报告。 DMSC 强调定期 与 ADRC 研究人员沟通并积极参与 ADRC 资助的项目。动态管理中心 还促进其成员之间独立研究计划的发展。拟议期间 研究期间，项目将包括开发和验证新颖的数据收集机制 协调异构大数据流，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 的研究工作将增加 DMSC 对整个科学界的智力贡献，也将导致改进 收集、输入和分析通过当地 ADRC 项目获得的复杂数据的方法。 ！