Data Management Core: Systems Biology to Identify Biomarkers of Neonatal Vaccine Immunogenicity

数据管理核心：识别新生儿疫苗免疫原性生物标志物的系统生物学

• 批准号: 10312046
• 负责人: AL OZONOFF
• 金额: $ 80.05万
• 依托单位: BOSTON CHILDREN'S HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-01-28 至 2022-11-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10312046
• 关键词: Age; Architecture; Archives; Atlases; Biological; Biological Markers; Biometry; Clinical; Clinical Data; Clinical Services; Collaborations; Communities; Computer software; Consultations; Data; Data Collection; Data Files; Data Sources; Data Storage and Retrieval; Database and Analysis Portal; Environment; Experimental Designs; Fostering; Gene Expression; Goals; Guidelines; Home visitation; Human; Human Resources; Immune; Immunization; Immunology; In Vitro; Infrastructure; Institution; Investigation; Lead; Life; Link; Metadata; Methods; Neonatal; Newborn Infant; Patient Outcomes Assessments; Peptides; Personnel Staffing; Phenotype; Plasma; Process; Productivity; Proteins; Proteomics; Research; Research Personnel; Research Support; Sampling; Secure; Security; Services; Signal Transduction; Site; System; Systems Analysis; Systems Biology; United States National Institutes of Health; Vaccination; Vaccines; Variant; Work; analytical tool; archive data; archived data; base; bioinformatics infrastructure; bioinformatics tool; cloud based; cloud storage; computerized tools; computing resources; data access; data acquisition; data infrastructure; data integration; data management; data sharing; data tools; demographics; design; digital; experimental study; heterogenous data; high risk; immunogenicity; infection risk; insight; operation; predictive signature; programs; public repository; quality assurance; relational database; repository; response; success; synergism; transcriptome sequencing; transcriptomics; web services

PROJECT SUMMARY The overarching goal of the proposed Human Immunology Project Consortium (HIPC) is to characterize vaccine-induced biological variations (transcriptomic/proteomic; summarized as ‘OMIC’) in the human newborn that correlate with downstream immunogenicity as predictors for Correlates of Protection (CoPs). The Data Management Core (DMC) will establish and maintain a cloud-based discovery environment, consisting of data storage and computational tools to perform integrative systems analyses and facilitate collaborations between the HIPC Projects and Cores. The DMC will also facilitate data sharing, submission to public repositories, and HIPC engagement with the external research community. The broad goals of the DMC are reliable data capture and retention; ongoing quality assurance; and provision of access/computational resources for integrative analyses. We articulate these goals through three Specific Aims: Aim 1: Create a secure data management infrastructure for data acquisition and retention from HIPC Clinical Core Sites, Service Cores, and Projects. Aim 2: Establish HIPC-wide quality assurance processes and accepted standards for each of the heterogeneous data sources. Aim 3: Provide biostatistical and bioinformatics tools and expertise to lead integrative analyses across platforms. Our data management architecture will rely on new capabilities at our institution to access Amazon Web Services (AWS) for reliable cloud-based research support. We have worked closely with our Research Computing department to implement a system for HIPC collaborators that will combine security and reliability with ease of access and the most advanced computational tools and resources available. We believe our approach will offer many advantages over a more traditional server-based architecture, not the least of which is a more fruitful computing environment for integrative analyses and scientific discovery. Scientific endeavors of this scope/scale require robust data management plans, infrastructure, and operations. Practical data integration requires an environment within which these data can be linked across platforms. The DMC’s function will build on close integration of project/core leads into the DMC (eg, Drs. Steen, Tebbutt, Brinkman, Foster and Hancock) thereby synergistically leveraging their distinct strengths and augmenting the the productivity and impact of our proposed program. Completion of our Specific Aims will enable fresh insights into the biological basis underlying vaccine protective responses in early life, informing rational design of effective vaccines for the very young who are at highest risk from infections.

项目摘要 拟议的人类免疫学项目联盟（HIPC）的总体目标是 人类新生儿中疫苗诱导的生物学变异（转录组学/蛋白质组学;总结为“OMIC”） 与下游免疫原性相关，作为保护相关性（CoP）的预测因子。数据 管理核心（DMC）将建立和维护一个基于云的发现环境， 存储和计算工具，以执行综合系统分析，并促进 重债穷国项目和核心。DMC还将促进数据共享，向公共存储库提交， 重债穷国与外部研究界的接触。DMC的主要目标是提供可靠的数据 捕获和保留;持续的质量保证;以及提供访问/计算资源， 综合分析。我们通过三个具体目标来阐明这些目标： 目标1：为HIPC Clinical的数据采集和保留创建安全的数据管理基础设施 核心站点、服务核心和项目。 目标2：建立全重债穷国的质量保证程序， 异构数据源。 目标3：提供生物统计学和生物信息学工具和专门知识， 平台 我们的数据管理架构将依赖于我们机构的新功能来访问Amazon Web AWS提供可靠的云研究支持。我们与我们的研究人员密切合作， 计算部为重债穷国合作者实施一个将联合收割机安全性和可靠性结合起来的系统 易于访问以及最先进的计算工具和可用资源。我们相信我们的 与传统的基于服务器的体系结构相比， 为综合分析和科学发现提供更富有成效的计算环境。 这种范围/规模的科学工作需要强大的数据管理计划、基础设施和操作。 实际的数据集成需要一个可以跨平台链接这些数据的环境。的 DMC的职能将建立在项目/核心领导与DMC的紧密结合之上（例如，Steen博士，Tebbutt， Brinkman，Foster和汉考克），从而协同地利用其独特的优势， 我们计划的生产力和影响。完成我们的具体目标将使新的见解 研究生命早期疫苗保护性反应的生物学基础，为合理设计 为感染风险最高的年轻人提供有效的疫苗。