Data Management and Biostatistics

项目摘要-数据管理和生物统计核心(核心C) 该数据管理和生物统计核心：核心C(数据/统计核心)旨在提供高质量的数据 管理基础设施和统计支持，同时利用创新和创造力来改进交付 我们的核心职能交给了调查人员。在历史上，这个PPG总是使用复杂的方法来 并优先将复杂的临床症状与神经解剖学联系起来的目标， 遗传学和蛋白质组学特征，以提高额颞叶痴呆(FTD)的早期和准确诊断。 我们的目标是应用我们收集到的丰富的临床、影像、分子和神经病理学信息。 参与者弥合阻碍FTD治疗发现的知识差距。因此，数据/统计核心 因为这个PPG有一个特殊的任务来支持和促进我们的研究人员合成复杂的、多水平的 数据，并使用适当复杂的研究设计和建议来处理这些数据 分析方法。PPG的中心是一个使用LIVA平台建立的综合数据库，一个数据 加州大学旧金山分校专门为综合性临床研究中心设计的管理解决方案。它提供了 为共享的中央核心和附属项目的行政、临床和研究程序提供支持 共同的患者队列和评估方案。在这个PPG的早期周期中，我们还开发了一套 基于浏览器的工具，旨在处理PPG数据并帮助解决复杂的、 跨PPG项目和核心生成的多维数据。这些工具促进了单个患者的数据 跨临床、影像、标本和遗传模式的整合和规范解释；可视化 聚合患者数据；表型和遗传数据与结构磁共振数据的快速链接；以及成像 分析。这个核心的结构也是为了提供出色的、全面的研究设计和生物统计 咨询PPG人员，以最合适、最准确、最创新的统计方法指导研究人员 接近了。因此，这一核心的目标是：目标1：开发和维护集中、综合的数据 管理系统和程序，以确保行政、 来自PPG核心和项目的临床和研究数据。目标2：为PPG研究人员提供数据集成 以及支持其跨核心和项目有效组合和利用数据的能力的分析工具，以 加速发现。目标3：就生物统计和数据科学方法提供高质量的咨询 用于所有PPG核心和项目，以便系统地统一和重点研究、设计和统计分析。 目标4：促进PPG核心、项目和相关部门之间的研究方法集成和协作 通过促进开放科学原则和建立有效的跨团队程序来研究协议 共享数据、模型和代码。

PROJECT SUMMARY—Data Management and Biostatistics Core (Core C) This Data Management and Biostatistics Core: Core C (Data/Stats Core) is designed to provide high-quality data management infrastructure and statistical support, while using innovation and creativity to improve the delivery of our core functions to investigators. Historically, this PPG has always used sophisticated approaches for phenotyping patients and has prioritized the goal of linking complex clinical syndromes back to neuroanatomic, genetic, and proteomic signatures to improve the early and accurate diagnosis of frontotemporal dementia (FTD). We aim to apply the rich clinical, imaging, molecular, and neuropathological information that we gather on each participant to bridge the knowledge gaps that impede therapeutic discovery in FTD. Thus, the Data/Stats Core for this PPG has a particular mandate to support and facilitate our researchers’ synthesis of complex, multilevel data and to approach that data with appropriately sophisticated recommendations for research design and analytic methods. At the center of the PPG is a comprehensive database built using the LAVA platform, a data management solution specifically designed at UCSF for use by integrative clinical research centers. It provides support for administrative, clinical, and research procedures for central cores and affiliated projects that share common patient cohorts and assessment protocols. In earlier cycles of this PPG, we also developed a suite of browser-based tools designed to work with PPG data and to help solve the problems posed by the complex, multidimensional data generated across PPG projects and cores. These tools facilitate single-patient data integration and normative interpretation across clinical, imaging, specimen, and genetic modalities; visualization of aggregate patient data; rapid linking of phenotypic and genetic data with structural MRI data; and imaging analysis. This core is also structured to provide excellent, comprehensive research design and biostatistical consultation to PPG personnel, guiding researchers with the most appropriate, precise, and innovative statistical approaches. Thus, the aims of this core are: Aim 1: To develop and maintain centralized, integrated data management systems and procedures that ensure the accuracy, availability, and confidentiality of administrative, clinical, and research data from PPG cores and projects. Aim 2: To provide PPG researchers with data integration and analysis tools supporting their ability to effectively combine and utilize data across cores and projects to accelerate discovery. Aim 3: To provide high-quality consultation on biostatistical and data science approaches for all PPG cores and projects in order to systematically unify and focus research design and statistical analysis. Aim 4: To promote research methods integration and collaboration among PPG cores, projects, and related research protocols by promoting Open Science principles and establishing cross-team procedures for efficient sharing of data, models, and code.