Data Management, Biostatistics & Bioinformatics Core D

核心D：数据管理、生物统计学和生物信息学核心 核心负责人：谢莎伦；联合调查员：王丽珊 摘要/摘要：数据管理、生物统计学和生物信息学核心D 数据管理、生物统计和生物信息学核心D是国家老龄化计划的组成部分 (NIA)U19“阿尔茨海默病和相关痴呆的α-突触核蛋白菌株研究中心” 宾夕法尼亚州(宾夕法尼亚州)佩雷尔曼医学院(PSOM)。核心D的目标是支持数据 宾夕法尼亚大学U19中心的管理、数据库、统计、生物信息学和相关计算需求 并为U19中心和宾夕法尼亚州立大学以外的调查人员提供数据共享支持。这个 核心D提供的服务包括：(A)支持数据表格/调查表的设计和开发， 数据库开发和管理、数据输入、数据库审计跟踪、数据库安全、数据库备份 和严格的数据质量控制程序，(B)为所有宾夕法尼亚大学U19中心提供计算和编程支持 活动，包括实施和整合数据所需的硬件和软件升级 中心中心计算系统的管理和研究、日常和档案非现场备份，(C) 从开始到出版，为项目和核心研究的所有方面提供生物统计支持，包括 开发研究设计，执行样本量和功率计算，并执行以下分析 (D)整合生物信息学和生物统计学专门知识，以支持遗传数据分析和 开发多式联运风险预测模型，(E)开发新的统计方法和 在需要时扩展现有方法以分析中心数据，(F)实施数据 U19中心与U19中心以外的其他研究人员和宾夕法尼亚大学与 国家安全局。因此，核心D对研究的进展和 在宾夕法尼亚大学U19中心进行研究，这将促进宾夕法尼亚大学U19之间的协作互动 中心和中心外的研究人员。

Core D: Data Management, Biostatistics and Bioinformatics Core Core Leader: Sharon X. Xie; Co-Investigator: Li-San Wang Summary/Abstract: Data Management, Biostatistics and Bioinformatics Core D The Data Management, Biostatistics and Bioinformatics Core D is an integral part of this National on Aging (NIA) U19 “Center On Alpha-synuclein Strains In Alzheimer Disease & Related Dementias” at the University of Pennsylvania (Penn) Perelman School of Medicine (PSOM). The goal of Core D is to support the data management, database, statistics, bioinformatics, and related computational needs of Penn U19 Center investigators, as well as provide data sharing support to investigators outside the U19 Center and Penn. The services provided by Core D include: (a) support for data form/questionnaire design and development, database development and management, data entry, database audit trail, database security, database backup, and stringent data quality control procedures, (b) computing and programming support for all Penn U19 Center activities, including implementation and integration of hardware and software upgrades necessary for data management and research, routine and archival off-site backup of computing systems central to the Center, (c) biostatistical support for all study aspects of Projects and Cores from inception to publication, including development of study design, performing sample size and power calculations, and performing analyses of the Center data, (d) integration of bioinformatics and biostatistics expertise to support analysis of genetic data and development of multimodal risk prediction models, (e) development of new statistical methodologies and extension of existing methodologies where needed for analyses of Center data, (f) Implementation of data sharing between the U19 Center and other researchers outside the U19 Center and Penn in partnership with the NIA. Thus, Core D plays an important and significant role that is critical to the progress of research and the conduct of studies in the Penn U19 Center, and it will foster collaborative interactions between the Penn U19 Center and researchers outside the Center.