Data Management and Analysis Core

数据管理核心 主要研究者：Olivier Elemento，PhD. Co-I：Zhengming Chen，PhD 摘要 该核心将提供生物信息学专业知识，并支持数据整合和分析。芯会 服务于三个主要目标。首先，它将提供中央数据存储和数据管理， 项目和核心的数据使用适当的保障措施进行保护。其次，它将确保数据和 通过入境口岸、数据库或其他数据库共享和发布元数据， NIAID。第三，它将通过进行最先进的统计分析来支持项目1和2。 具体来说，核心将负责：1）部署一个信息学平台，用于数据摄取、处理 并使用基于云的平台进行共享。该平台能够从所有参与者的网站上获取数据， 将使用以下方式与基于临床数据的数据库（REDCap）和样本跟踪数据库（OpenSpecimen）进行接口 适当的保障措施。此外，数据管理核心将部署自动化质量控制脚本， 检测潜在的批次效应和低质量样品。重要的是，核心将使用ImmPort数据模型， 数据储存，从而使数据关系标准化，便利数据传播; 2）进行统计和 使用最先进的单变量和多变量统计对不同数据集进行综合分析， 机器学习技术这一办法将优化资源的使用，并将促进一体化， 所有项目之间的协同作用。

Data Management Core Principal Investigator: Olivier Elemento, PhD. Co-I: Zhengming Chen, PhD Abstract This Core will provide bioinformatics expertise and support with data integration and analyses. The Core will serve three main goals. First, it will provide central data storage and data management ensuring that the integrity of the data of the Projects and Cores is protected using appropriate safeguards. Second, it will assure data and metadata sharing and dissemination through the ImmPort, database or other databases as recommended by NIAID. Third, it will support Projects 1 and 2, by performing state of the art statistical analyses. Specifically, the Core will be responsible for: 1) Deploying an informatics platform for data ingestion, processing and sharing using a cloud-based platform. The platform is capable of ingesting data from all participant sites and will interface with the clinical data based (REDCap) and sample tracking databases (OpenSpecimen) using appropriate safeguards. In addition, the Data Management Core will deploy automated quality control scripts to detect potential batch effects and low-quality samples. Importantly the core will use the ImmPort data model for data storage, thus standardizing data relations and facilitating data dissemination; 2) Perform statistical and integrative analyses of diverse datasets using state-of-the-art univariate and multivariate statistical as well as machine learning techniques. This approach will optimize the use of resources and will facilitate integration and synergy among all projects.