Data Management and Analysis Core

数据管理与分析核心

基本信息

批准号：
10599205
负责人：
Olivier Elemento
金额：
$ 13.56万
依托单位：
ST. JUDE CHILDREN'S RESEARCH HOSPITAL
依托单位国家：
美国
项目类别：
财政年份：
2022
资助国家：
美国
起止时间：
2022-04-01 至 2027-03-31
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/10599205
关键词：
2019-nCoV Address Antibody titer measurement Bioinformatics Cells Clinical Clinical Data Collaborations Communities Data Data Analyses Data Set Data Storage and Retrieval Databases Development Doctor of Philosophy Ensure Genes Goals Immune Infant Influenza Informatics Israel Laboratories Life Linear Models Machine Learning Measurement Medicine Metadata Multiomic Data National Institute of Allergy and Infectious Disease Participant Pathway Analysis Pediatric Hospitals Principal Investigator Quality Control Recommendation Recording of previous events Research Research Personnel Resources Sampling Serology Shapes Site Statistical Data Interpretation Techniques Vaccines Viral Viral Respiratory Tract Infection clinical phenotype cloud based cohort computational platform data dissemination data ingestion data integration data integrity data management data modeling data standards database of Genotypes and Phenotypes diverse data electronic data longitudinal dataset machine learning model multiple omics precision medicine responders and non-responders synergism transcriptome sequencing

项目摘要

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.

数据管理核心首席研究员：Olivier Elemento 博士。共同负责人：陈正明，博士抽象的该核心将提供生物信息学专业知识以及数据集成和分析方面的支持。核心将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，确保完整性项目和核心的数据使用适当的保护措施进行保护。其次，它将保证数据和根据 ImmPort、数据库或其他数据库的建议，元数据共享和传播 NIAID。第三，它将通过执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）部署用于数据摄取、处理的信息学平台并使用基于云的平台进行共享。该平台能够从所有参与者站点获取数据并将使用基于临床数据 (REDCap) 和样本跟踪数据库 (OpenSpecimen) 的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 数据模型数据存储，从而标准化数据关系并促进数据传播； 2) 进行统计和使用最先进的单变量和多变量统计以及机器学习技术。这种方法将优化资源的使用，并促进整合和所有项目之间的协同作用。