Data Management and Biostatistics

项目总结-数据管理和生物统计学核心（核心C） 此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善交付 我们的核心职能从历史上看，这个PPG一直使用复杂的方法来 对患者进行表型分析，并优先考虑将复杂的临床综合征与神经解剖学联系起来的目标， 基因和蛋白质组特征，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的丰富的临床，影像学，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。数据/统计核心 对于这个PPG有一个特殊的任务，以支持和促进我们的研究人员的合成复杂的，多层次的， 数据，并为研究设计提供适当的复杂建议， 分析方法PPG的中心是一个使用LAVA平台构建的综合数据库， UCSF专门为综合临床研究中心设计的管理解决方案。它提供 支持共享的中心核心和附属项目的行政、临床和研究程序 常见的患者队列和评估方案。在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， 在PPG项目和核心中生成的多维数据。这些工具有助于单个患者的数据 跨临床、成像、标本和遗传模式的整合和规范解释;可视化 将表型和遗传数据与结构MRI数据快速连接; 分析.该核心还旨在提供优秀的，全面的研究设计和生物统计 咨询PPG人员，指导研究人员使用最适当，精确和创新的统计数据 接近。因此，该核心的目标是：目标1：开发和维护集中的集成数据 管理系统和程序，以确保准确性，可用性和保密性的行政， 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 和分析工具，支持他们有效地联合收割机和利用核心和项目数据的能力， 加速发现。目标3：提供有关生物统计和数据科学方法的高质量咨询 为所有PPG核心和项目，以便系统地统一和集中研究设计和统计分析。 目标4：促进PPG核心、项目和相关机构之间的研究方法整合和协作 通过促进开放科学原则和建立跨团队程序， 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.