Data Management and Statistical Core

数据管理和统计核心概述 耶鲁大学ADRC的数据管理和统计核心(DSMC)将提供数据管理和 满足业务需求和研究的统计支持。耶鲁DMSc将由希瑟·阿洛尔领导， Ph.D.和Peter Charpentier，M.P.H.，生物静力学和数据管理以及 分别是耶鲁大学老龄化项目(POA)和克劳德·D·佩珀老年人的信息学核心 耶鲁大学美国独立中心。建议的统计和数据管理方法 耶鲁大学DMSc基于POA和耶鲁大学临床与管理学院开发和实施的实践和系统 翻译科学研究所-耶鲁临床研究中心(YCCI)-赞助一项特别的 OnCore临床试验管理系统的实施。耶鲁大学的DMSc将利用计算 和由POA和YCCI提供的资源基础设施。数据管理中心将开发适当的数据管理 用于主题跟踪、应计和其他研究行为报告以及安全存储的系统和程序 对EPHI的影响。这也包括为所有临床数据创建和管理病例报告表(CRF 作为基础神经科学实验室和一些临床研究项目的电子表格，以及 适用于UDS数据管理的程序。在这些过程中，确保符合HIPAA标准的数据安全 将采用管理做法。DMSc将与其他内核交互以管理数据并提供 统计咨询以及教育和外展计划评估。此外，亚洲发展研究中心将提供 研究和试点项目的统计和分析文件将在一个不确定的SAS数据集市上创建。 综合起来，数据管理中心的这些活动将确保在整个过程中进行强有力的数据管理和统计分析 耶鲁大学ADRC。

SUMMARY OF DATA MANAGEMENT AND STATISTICS CORE The Data Management and Statistics Core (DSMC) of the Yale ADRC will provide data management and statistical support to meet the operational needs and research. The Yale DMSC will be led by Heather Allore, Ph.D. and Peter Charpentier, M.P.H. who are the directors of the Biostatics and the Data Management and Informatics Cores, respectively, of the Yale Program on Aging (POA) and of the Claude D. Pepper Older Americans Independence Center at Yale. The statistical and data management methodologies proposed for Yale DMSC are based on practices and systems developed and implemented at POA and Yale's Clinical and Translational Science Institute- the Yale Center for Clinical Investigations (YCCI) - that sponsors a special implementation of the Oncore Clinical Trial Management System. The Yale DMSC will leverage the computing and resource infrastructure provided by POA and YCCI. The DSMC will develop appropriate data management systems and procedures for subject tracking, accrual and other conduct-of-study reports, and secure storage of ePHI. This includes the creation and management of case report forms (CRFs) for all clinical data, as well as electronic spreadsheets for basic neuroscience laboratories and some clinical research projects, and a suitable procedure for UDS data management. Throughout these procedures secure, HIPAA-compliant data management practices will be employed. The DMSC will interact with other Cores to manage data and provide statistical consultation and educational and outreach program evaluation. Furthermore, the ADRC will provide research and pilot projects statistical and analysis files will be created on a de-identified SAS data mart . Together these activities of the DSMC will ensure robust data management and statistical analysis throughout the Yale ADRC.