Data Management and Statistical Core

数据管理与统计核心

• 批准号: 10461123
• 负责人: Kumar B. Rajan
• 金额: $ 33.19万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-08-15 至 2026-06-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10461123
• 关键词: Alzheimer' s Disease; Architecture; Area; Biological Markers; Biostatistical Methods; Blood; Characteristics; Clinical; Clinical Data; Clinical Research; Cognitive; Cognitive aging; Collaborations; Communities; Complex; Computer Systems; Data; Data Collection; Data Management Resources; Data Security; Data Set; Data Store; Database Management Systems; Databases; Dementia; Development; Disease; Disease Progression; Education; Enrollment; Faculty; Goals; Heterogeneity; Histology; Image; Impaired cognition; Impairment; Individual; Infrastructure; International; Internet; Java; Lead; Leadership; Life Cycle Stages; Longitudinal cohort; Measures; Mentors; Methodology; Modeling; Modernization; Monitor; Non-linear Models; Online Systems; Onset of illness; Pathogenesis; Pathology; Physiological; Population Heterogeneity; Postdoctoral Fellow; Procedures; Process; Quality Control; Reporting; Reproducibility; Research; Research Design; Research Personnel; Resources; Risk Factors; Sampling; Science; Secure; Source; Statistical Methods; Summary Reports; System; Techniques; Time; Training; analytical method; base; biomarker development; clinical diagnosis; cognitive development; cognitive function; cognitive testing; cohort; computerized data processing; data access; data framework; data integration; data management; data portal; data quality; data sharing; design; dynamic system; education research; electronic data; electronic data capture system; endophenotype; epidemiology study; faculty research; follow-up; graduate student; healthy aging; high dimensionality; improved; innovation; longitudinal analysis; meetings; multi-ethnic; neuroimaging; next generation; novel; operation; outreach; recruit; resilience; statistics; tool; undergraduate student; user-friendly; web app; web based interface

PROJECT SUMMARY – Data Management and Statistics Core (DMSC) The overall objective of the Data Management and Statistics Core (DMSC) is to provide a unified and integrative framework for data management, statistical support, and mentoring to enhance the UC Davis Alzheimer’s Disease Research Center (UCD ADRC) goals. To support the goals of the UCD ADRC, the DMSC will focus on four specific aims: 1) continue modernizing our data management system using a secure and dynamic web-based interface and integrate processes with other ADRC cores emphasizing data collection, data management, creation of study reports, and a data-sharing portal; 2) provide project development and analysis support to ADRC investigators and other AD researchers through standard and innovative statistical methods; 3) develop and implement multiple biomarkers approaches for pathogenesis using data across ADRC cores; and 4) in collaboration with the Research Education Component, mentor the next generation of researchers on biostatistical methods and study design. The DMSC brings together a qualified team with expertise in data management, analysis of longitudinal and neuroimaging data, and the conduct of and integration with epidemiology studies and mentoring of junior research faculties across the UC Davis and AD research communities. The DMSC serves a central integrative function for the ADRC, including a web-based data management system that allows de-identified access to current data, and administrative, tracking, and summary reports. Expertise provided by the DMSC leaders enables the use of sophisticated statistical approaches with high impact scientific discoveries. The DMSC will provide innovative solutions for data integration across all UCD ADRC cores and provide standard and novel statistical approaches for disseminating the complicated relationship between risk factors and long-term cognitive decline and dementia progression in diverse populations. The DMSC will also continue to lead in mentoring and training graduate students, postdocs, and junior faculties and collaborate with AD researchers nationally and internationally.

项目摘要--数据管理和统计核心(DMSc) 数据管理和统计核心(DMSc)的总体目标是提供统一和 用于数据管理、统计支持和指导的集成框架，以增强UC Davis 阿尔茨海默病研究中心(UCD ADRC)的目标。为了支持UCD ADRC的目标，DMSc 将侧重于四个具体目标：1)使用安全和 动态的基于网络的界面，并与强调数据收集的其他ADRC核心集成过程， 数据管理、创建研究报告和数据共享门户；2)提供项目开发和 通过标准和创新的统计为ADRC调查人员和其他AD研究人员提供分析支持 方法：3)开发和实施多种生物标记物的发病机制方法 ADRC核心；以及4)与研究教育部分合作，指导下一代 研究人员对生物统计学方法和研究设计进行了研究。DMSc汇集了一支合格的团队， 在数据管理、纵向和神经成像数据分析以及进行和 与流行病学研究相结合，并指导加州大学戴维斯分校和AD的初级研究人员 研究社区。DMSc为ADRC提供中央综合功能，包括基于Web的 数据管理系统，允许对当前数据的非识别访问，以及管理、跟踪和 摘要报告。DMSc领导人提供的专业知识使复杂统计的使用成为可能 具有重大科学发现的方法。DMSc将为数据提供创新的解决方案 集成所有UCD ADRC核心，并提供标准和新颖的统计方法 传播危险因素与长期认知衰退和痴呆之间的复杂关系 在不同人群中的进步。DMSC还将继续在指导和培训毕业生方面发挥主导作用 学生、博士后和初级教师，并与国内外AD研究人员合作。