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

项目总结 拟议的人类免疫学项目联盟(HIPC)的总体目标是 疫苗诱导的人类新生儿生物变异(转录组/蛋白质组；概括为“组学”) 这与下游的免疫原性作为保护相关性(COPS)的预测因子相关。数据 管理核心(DMC)将建立和维护由数据组成的基于云的发现环境 存储和计算工具，用于执行集成系统分析并促进 重债穷国项目和核心。公契还将促进数据共享、向公共储存库提交数据，以及 重债穷国与外部研究界的接触。DMC的广泛目标是可靠的数据 捕获和保留；持续质量保证；提供访问/计算资源 综合分析。我们通过三个具体目标阐明这些目标： 目标1：为从HIPC临床获取和保留数据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：为以下各项建立重债穷国范围的质量保证流程和公认的标准 异类数据源。 目标3：提供生物统计学和生物信息学工具和专业知识，以领导综合分析 站台。 我们的数据管理架构将依赖我们机构的新功能来访问Amazon Web 提供可靠的基于云的研究支持的服务(AWS)。我们与我们的研究人员密切合作 计算部将为HIPC协作者实施一个将安全性和可靠性相结合的系统 以及最先进的计算工具和可用的资源。我们相信我们的 与更传统的基于服务器的体系结构相比，该方法将提供许多优势，尤其是 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/规模的科学努力需要强大的数据管理计划、基础设施和运营。 实际的数据集成需要一个环境，在该环境中这些数据可以跨平台链接。这个 DMC的职能将建立在将项目/核心领导紧密整合到DMC中的基础上(例如，Steen博士、Tebbut博士、 Brinkman、Foster和Hancock)，从而协同利用他们的独特优势并增强 我们提议的计划的生产率和影响。完成我们的具体目标将使我们有新的见解 深入探讨疫苗早期保护性反应的生物学基础，为合理设计疫苗提供信息 为感染风险最高的幼儿接种有效疫苗。

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.