CORE D: Data Management, Biostatistics & Bioinformatics Core

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是大学的一个组成部分。 宾夕法尼亚州（Penn）佩雷尔曼医学院（PSOM）Morris K. Udall帕金森病研究 卓越中心（Udall Center）核心D在这一竞争性续期申请中的目标是继续 国家神经疾病和中风研究所（NINDS）对宾夕法尼亚大学尤德尔中心的资助是为了 支持宾夕法尼亚大学的数据管理、统计、生物信息学、数据库和相关计算需求 尤德尔中心的调查员。核心D提供的服务包括：（a）支持数据表格/问卷 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）计算和编程 支持所有Penn Udall中心活动，包括硬件和软件的实施和集成 数据管理和研究所需的升级，计算的例行和归档异地备份 中心的核心系统，（c）为项目和核心的所有研究方面提供生物统计支持， 从开始到发表，包括研究设计的开发、执行样本量和把握度 计算，并对中心数据进行分析，（d）生物信息学和生物统计学的整合 支持基因数据分析和开发多模式风险预测模型的专门知识，（e） 促进有效的工作关系，包括宾夕法尼亚大学尤德尔中心，其他尤德尔之间的数据共享 中心和NINDS数据管理资源（DMR）。因此，核心D发挥着重要而显著的作用 这对研究的进展和宾夕法尼亚大学尤德尔中心的研究进行至关重要，它将促进 宾州尤德尔中心和其他尤德尔中心之间的协作互动。

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 the University of Pennsylvania (Penn) Perelman School of Medicine (PSOM) Morris K. Udall Parkinson's Disease Research Center of Excellence (Udall Center). The goal of Core D in this competing renewal application for continued funding of the Penn Udall Center by the National Institute of Neurological Disorders and Stroke (NINDS) is to support the data management, statistical, bioinformatics, database, and related computational needs of Penn Udall Center investigators. 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 Udall 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) promoting an effective working relationship including data sharing between the Penn Udall Center, other Udall Centers, and NINDS Data Management Resource (DMR). 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 Udall Center, and it will foster collaborative interactions between the Penn Udall Center and other Udall Centers.