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 核心领导人：沙龙X。Xie;合作研究者：Li-San Wang 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，生物统计学和生物信息学核心D是这个国家老龄化的组成部分。 (NIA)U19“阿尔茨海默病和相关痴呆症中的α-突触核蛋白菌株中心”， 宾夕法尼亚佩雷尔曼医学院（PSOM）核心D的目标是支持数据 管理，数据库，统计学，生物信息学，以及宾夕法尼亚大学U19中心的相关计算需求 研究人员，以及提供数据共享支持U19中心和宾夕法尼亚大学以外的研究人员。的 核心D提供的服务包括：（a）支持数据表格/调查表的设计和编制， 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Penn U19中心提供计算和编程支持 活动，包括实施和整合数据库所需的硬件和软件升级 管理和研究，对中心的核心计算系统进行例行和存档异地备份，（c） 为项目和核心的所有研究方面提供从开始到出版的生物统计支持，包括 开发研究设计，进行样本量和把握度计算，并进行 （d）整合生物信息学和生物统计学专门知识，以支持遗传数据的分析， （e）开发新的统计方法， 在需要分析中心数据时，扩展现有方法， U19中心与U19中心以外的其他研究人员和宾夕法尼亚大学合作， NIA。因此，核心D发挥着重要而显著的作用，对研究的进展和 在宾夕法尼亚大学U19中心进行研究，它将促进宾夕法尼亚大学U19之间的合作互动 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.