CPEA Data Coordinating Center

CPEA数据协调中心

• 批准号: 6805533
• 负责人: Kimberly A. Dukes
• 金额: $ 101.83万
• 依托单位: DM-STAT, INC.
• 依托单位国家: 美国
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-26 至 2008-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/6805533
• 关键词: Internet; computer network; computer system design /evaluation; cooperative study; data collection; data management; data quality /integrity; method development; statistics /biometry; telecommunications; training

DESCRIPTION (provided by applicant): Since 1997, the National Institute of Child Health and Human Development (NICHD) and the National Institute on Deafness and Other Communication Disorders (NIDCD) has provided funding for a Network on the Neurobiology and Genetics of Autism: Collaborative Programs of Excellence in Autism (CPEA). The CPEA network of 10 multidisciplinary projects is being extended for an additional five years to continue studies of genes, brain structure, brain function and behavior and the clinical course of autism. Three separate entities (DMSTAT, Inc., the Boston University Statistics and Consulting Unit at the College of Arts and Sciences and the Department of Biostatistics at the Boston University School of Public Health) have formed a group, DMSTAT/BU, proposing to collaborate with the CPEA network and to serve as its centralized data coordinating center (DCC). Our multi-disciplinary team of biostatisticians, epidemiologists, statistical geneticists, project managers, programmers and data managers can effectively and efficiently serve the ongoing and changing needs of the CPEA network. The primary goal of DMSTAT/BU is to provide integrated support to all CPEA project staff on two fronts: 1) consistent, efficient, cost-effective and high quality data management, and 2) biostatistical expertise in study design, randomization schemes, matching procedures, statistical genetics and multivariable analysis. DMSTAT/BU will assist project staff in the following areas: study design and protocol development, innovative processes to streamline data collection and increase data quality, administrative management, staff training, study monitoring, regulatory compliance, statistical design, analysis and reporting, and study documentation, in addition to applying our proven data management and statistical analysis procedures, DMSTAT/BU will develop a website for the network which will serve as the backbone of the study infrastructure. The website will have administrative (e.g., e-mail links, meeting information, personnel contact information, project documentation, expense tracking) and data collection (distributed tracking and data entry systems) components. A reporting module in the website will make all of the administrative and data management information accessible to authorized members of the CPEA network. The team we have assembled has the requisite experience to effectively serve the needs of the CPEA network. The qualities that set us apart from our competitors are: innovation in streamlining and organizing processes, our abilities to educate and communicate with study staff at all levels, the breadth and depth of our analytic and statistical knowledge, our commitment to integrity in all aspects of data management, and our outstanding track record on studies of similar size and scope.

描述（由申请人提供）：自1997年以来，美国国家儿童健康与人类发展研究所（NICHD）和美国国家耳聋和其他沟通障碍研究所（NIDCD）为自闭症神经生物学和遗传学网络提供了资金：自闭症卓越协作计划（CPEA）（CPEA）。 10个多学科项目的CPEA网络正在延长五年，以继续研究基因，大脑结构，大脑功能和行为以及自闭症的临床过程。 三个独立的实体（DMSTAT，Inc。，波士顿大学统计和咨询部门的艺术与科学学院以及波士顿大学公共卫生学院的生物统计学系）组成了一个小组DMSTAT/BU，建议与CPEA网络合作并作为其集中数据协调中心（DCC）。我们的生物统计学家，流行病学家，统计遗传学家，项目经理，程序员和数据经理的多学科团队可以有效，有效地满足CPEA网络的持续和不断变化的需求。 DMSTAT/BU的主要目标是为所有CPEA项目人员提供两名CPEA项目的集成支持 前线：1）一致，高效，成本效益和高质量数据管理，2）研究设计，随机方案，匹配程序，统计遗传学和多变量分析方面的生物统计学专业知识。 DMSTAT/BU将协助项目人员在以下领域：研究设计和协议的开发，创新的过程，以提高数据收集，行政管理，员工培训，研究监控，监管，统计设计，分析和报告以及研究文档以及将我们的PROVEN数据管理和统计分析程序应用于该网站的网站，该网站将为您提供服务的网站。该网站将具有管理（例如，电子邮件链接，会议信息，人员联系信息，项目文档，费用跟踪）和数据收集（分布式跟踪和数据输入系统）组件。网站中的报告模块将使CPEA网络的授权成员访问所有管理和数据管理信息。 我们组装的团队具有有效满足需求的必要经验 CPEA网络。使我们与竞争对手区分开来的素质是：精简和组织过程的创新，我们与各个级别的学习人员进行教育和沟通的能力，分析和统计知识的广度和深度，我们在数据管理各个方面对诚信的承诺以及对相似规模和范围的杰出往绩记录。