Core C: Data Management and Statistical Core

波士顿大学阿尔茨海默病中心（BU ADC）数据管理的主要使命， 统计核心（DMS）是在数据收集，管理， 安全和统计分析，从新研究项目的开发到结果的发布。的 DMS在执行任务时采取协作和互动的团队方法，例如协调 跨核心的数据收集、数据管理和分析，促进程序一致性， 中心范围系统的效率，产生最高质量的数据和分析，供ADC研究人员使用 和附属机构，最终确保研究成果的科学完整性。这种合作援助 包括分析计划的制定、数据库设计、数据收集的实施和质量 控制程序、技术支持、创建分析数据集、统计分析和手稿 准备.在上一个周期，旅游管理处花费了大量人力资源更新过时的数据系统; 这个周期的目标是将这些资源中的一部分重新定向到数据分析师，重点是分析， 手稿的准备和出版。在下一个周期，DMS的目标是：具体目标1。 提供数据系统专业知识、帮助和增强的基础设施，包括软件、网络和 确保整个BU ADC的数据机密性、安全性和完整性。维护和管理 用于数据输入、管理和报告的网络系统。具体目标2。提供专业知识，支持， 管理和质量控制BU ADC数据和活动。为所有BU ADC教师提供培训， 工作人员使用数据安全和质量保证。具体目标3。继续支持和管理BU ADC 与国家阿尔茨海默病协调中心（NACC）共享资源和数据;支持数据共享 与联邦综合脑损伤研究（FITBIR）数据库;支持与当地BU的资源共享 和非BU AD/CTE研究者。具体目标4。提供高级数据管理和生物统计 专业知识，对ADC研究人员的支持，建议和试点资助项目，包括研究设计， 数据分析的实施和解释，准备资金申请，摘要， 手稿开发我们将继续利用波士顿大学的资源， 硬件和软件，以便能够适当地管理和分析数据。DMS作为 有凝聚力的团队，以支持其目标和中心活动。每个项目都有指定的资料人员携带 它的数据活动，有效地利用一个集中的组织，并提供协调和 在整个ADC中采用一致的方法，但允许与每个项目相关的专门方法。 这使资源得到有效利用，避免重复;建立在合作研究的基础上 经验和工作关系;允许DMS人员之间采用协同的团队方法， 解决不同ADC项目的共同问题;并建立一致的统计和数据 管理资源，与调查人员合作，因为他们开发新的项目。

The primary mission of the Boston University Alzheimer's Disease Center (BU ADC) Data Management and Statistics Core (DMS) is to provide leadership and expertise in all phases of data collection, management, security, and statistical analyses, from development of new research projects to publication of results. The DMS takes a collaborative and interactive team approach in the performance of tasks, such as the coordination of data collection, data management, and analyses across cores, facilitating procedural consistency, and efficiency of center-wide systems, producing the highest quality data and analysis for use by ADC researchers and affiliates which ultimately ensures the scientific integrity of research findings. This collaborative assistance encompasses development of the analytic plan, database design, implementation of data collection and quality control procedures, technical support, creation of analytic datasets, statistical analyses, and manuscript preparation. Over the past cycle the DMS spent considerable staff resources updating outdated data systems; the goal for this cycle is to redirect some of those resources to data analysts with a focus on analysis, manuscript preparation, and publication. During the next cycle the aims of the DMS are: Specific Aim 1. Provide data system expertise, assistance, and an enhanced infrastructure, including software, networks, and procedures, to ensure data confidentiality, security, and integrity across the BU ADC. Maintain and manage web-based systems for entry, management, and reporting of data. Specific Aim 2. Provide expertise, support, management, and quality control for BU ADC data and activities. Provide training to all BU ADC faculty and staff in use of data security and quality assurance. Specific Aim 3. Continue to support and manage BU ADC resource and data sharing with the National Alzheimer's Coordinating Center (NACC); support data sharing with the Federal Integrated Brain Injury Research (FITBIR) database; support resource sharing with local BU and non-BU AD/CTE investigators. Specific Aim 4. Provide high-level data management and biostatistical expertise, support to ADC investigators, proposals, and pilot grant projects, including study design, implementation and interpretation of data analyses, preparation of funding applications, abstracts, and manuscript development. We will continue to leverage Boston University resources, including state-of-the-art hardware and software, to enable the appropriate management and analysis of data. DMS works as a cohesive team to support its aims and center activities. Each project has designated data personnel to carry out its data activities, making efficient use of a centralized organization and providing coordinated and consistent approaches throughout the ADC, yet allowing for specialized methodology pertinent to each project. This enables efficient utilization of resources avoiding duplication; builds upon collaborative research experience and working relationships; allows for a synergistic team approach among DMS personnel to resolve problems common to different ADC projects; and establishes a consistent statistical and data management resource to collaborate with investigators as they develop new projects.