DATA MANAGEMENT AND STATISTICS

数据管理和统计

基本信息

批准号：
8440887
负责人：
David Elashoff
金额：
$ 19.97万
依托单位：
UNIVERSITY OF CALIFORNIA LOS ANGELES
依托单位国家：
美国
项目类别：
财政年份：
资助国家：
美国
起止时间：
至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/8440887
关键词：
Alzheimer&apos s Disease Architecture Back Biological Markers Capital Characteristics Clinical Clinical Research Consult Consultations Data Data Analyses Data Collection Data Quality Data Set Data Storage and Retrieval Databases Dictionary Doctor of Philosophy Education Educational process of instructing Educational workshop Ensure Equipment and supply inventories Evolution Faculty Feedback Future Genetic Genomics Grant Health Insurance Portability and Accountability Act Image Informatics Information Storage Information Storage and Retrieval Information Systems Institutional Review Boards Journals Maintenance Manuscripts Mentors Modeling Monitor Paper Participant Pilot Projects Preparation Privacy Productivity Program Reviews Proteomics Protocols documentation Publications Reporting Research Research Activity Research Design Research Infrastructure Research Personnel Research Project Grants Retrieval Review Committee Sampling Schedule Scheme Scientist Security Specific qualifier value Statistical Methods System Therapeutic Training Activity Update Work base career development computerized data processing data management data sharing data structure design experience follow-up lectures meetings member neuropathology neuropsychological operation programs responsible research conduct skills statistical service statistics success web site

项目摘要

The UCLA ADRC Data Management and Statistics Core (DMSC) has developed a sophisticated state-of-the-art data management infrastructure for center-wide data processing, information storage, data retrieval, and errorless data sharing. The DMSC has a data structure completely compatible with the National Alzheimer Coordinating Center (NACC) and has met all standards of data management in audits of the last grant cycle. Error checking programs are in place to insure continuing data quality. Staff members with programming skills are available to respond to the evolution of the uniform data set (UDS) and other data export requirements. The DMSC database includes all clinical, genetic, biomarker, and NACC-mandated neuropathology data as well as an inventory of available imaging. DMSC members participate in rater-training activities of Clinical Core to insure quality data capture. In addition to expert data management, the DMSC provides consultation on methodologic, research design, and data analysis issues related to the Cores and Projects supported by the ADRC. The Core Leader, David Elashoff, PhD, has specialized skills in analysis of large proteomic and genomic data sets - intellectual capital that has an important synergy with the ADRC's theme of the therapeutic imperative and the increasing importance of biomarkers in ADRC activities. Members of the DMSC participate in the Research Review Committee of the Pilot Project program and provide methodologic and design feedback on all submissions to the program. The DMSC has an active program for mentoring of junior faculty and trainees in statistical methods and responsible conduct of research. DMSC faculty participate in the Executive Committee and Clinical Research Committee and collaborates with the Recruitment and Education Core in maintaining and updating the ADRC website. The DMSC represents the essential informatic architecture of the UCLA ADRC.

UCLA ADRC数据管理和统计核心（DMSC）已开发出一种精致的最新数据管理基础架构，用于中心范围的数据处理，信息存储，数据检索和无误的数据共享。 DMSC具有与国家阿尔茨海默氏症协调中心（NACC）完全兼容的数据结构，并且在上一个赠款周期的审核中符合所有数据管理标准。错误检查程序已适当以确保持续的数据质量。具有编程技能的工作人员可以响应统一数据集（UD）和其他数据导出的演变要求。 DMSC数据库包括所有临床，遗传，生物标志物和NACC符合的神经病理学数据以及可用成像的清单。 DMSC成员参加临床核心的评估者培训活动，以确保质量数据捕获。除专家数据管理外，DMSC还提供了与ADRC支持的核心和项目有关的方法，研究设计和数据分析问题的咨询。核心领导者David Elashoff博士在分析大型蛋白质组学和基因组数据集的分析方面具有专门的技能 - 知识分子资本与ADRC的治疗命令和生物标志物在ADRC活动中的重要性越来越重要。 DMSC的成员参加了试点项目计划的研究审查委员会，并就该计划的所有提交提供了方法论和设计反馈。 DMSC有一个积极的计划，用于指导初级教职员工和学员的统计方法和负责任的研究。 DMSC教职员工参与执行委员会和临床研究委员会以及与招聘和教育核心合作维护和更新ADRC网站。 DMSC代表UCLA ADRC的基本信息架构。