Data Management and Statistical Core

数据管理与统计核心

• 批准号: 10264663
• 负责人: Danielle Harvey
• 金额: $ 32.67万
• 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/10264663
• 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 数据管理，统计支持和心理的集成框架以增强UC Davis 阿尔茨海默氏病研究中心（UCD ADRC）目标。为了支持UCD ADRC的目标，DMSC 将重点关注四个具体目标：1）继续使用安全和 基于Web的动态界面和集成过程与其他ADRC内核强调数据收集， 数据管理，研究报告的创建和数据共享门户； 2）提供项目开发和 通过标准和创新统计数据对ADRC研究人员和其他广告研究人员的分析支持 方法; 3）开发和实施多种生物标志物方法，用于使用跨越的数据 ADRC内核； 4）与研究教育部分合作，指导下一代 生物统计方法和研究设计的研究人员。 DMSC汇集了一支合格的团队 数据管理方面的专业知识，纵向和神经影像数据的分析以及行为和 与加州大学戴维斯分校的初级研究学院的流行病学研究和心理融合 研究社区。 DMSC为ADRC提供了中央集成功能，包括基于Web的 数据管理系统允许识别当前数据以及管理，跟踪以及 摘要报告。 DMSC领导者提供的专业知识可以使用复杂的统计数据 与高影响科学发现相比的方法。 DMSC将为数据提供创新的解决方案 在所有UCD ADRC内核之间的集成，并为标准和新颖的统计方法 传播风险因素与长期认知下降与痴呆症之间的复杂关系 潜水员种群的进展。 DMSC还将继续领导心理和培训毕业生 学生，博士后和初级学院，并在国内和国际上与广告研究人员合作。