Data Management and Analysis Core

数据管理和分析核心-项目总结/摘要 该计划的目标是深入了解人类先天性和适应性免疫是如何通过免疫系统的免疫反应来实现的。 细胞对组织中的病毒病原体做出反应，并了解循环反应如何与 组织中的那些。使用CMV作为感染模型，我们的目标是识别组织特异性控制的特征 用于促进疫苗和免疫疗法中的原位保护性免疫。 这些努力将产生数千个数据文件，代表各种分析的结果。 数据管理和分析核心（DMAC）将负责汇总、注释、组织， 分析和传播这些数据。在这一作用中，核心将作为一个集中资源， 共享中心的数据管理和分析需求，提供专业知识和IT基础设施 在个别项目中复制这种做法是不切实际的。具体而言，DMAC将： 协调数据管理、存储和共享：数据文件必须附有适当的临床 和实验注释，以支持程序自身的分析需求以及 提交给公共NIH储存库。DMAC将协调这些信息的收集和管理 与相关项目和核心合作，并将提供对经过认证的网络的访问， 可访问的存储基础设施，用于在调查人员之间安全地存储和共享数据文件。 提供数据分析专业知识：DMAC将为项目提供分析专业知识，以指导 进行计算机调查。在可能的情况下，分析任务将实现自动化和标准化 通过利用（并根据需要调整）为支持作战而开发的经过验证的计算管道， 在哥伦比亚大学医学中心（CISC）建立了良好的共享资源。核心将进一步 利用和加强新的方法来分析单细胞数据和系统级 描绘了主持T细胞、树突细胞和树突状细胞中细胞状态转换的调节程序， 巨噬细胞 促进对高性能计算基础设施的访问：通过核心调查人员将拥有 访问专门为支持生物医学研究需求而设计的先进IT基础设施， 包括快速、网络可访问的磁盘存储和强大的计算集群， 国内最先进的生物医学研究机构 协调数据传播：重债穷国方案的一个关键目标是及时传播数据 由所有获奖者向研究界提供。这一进程需要汇编全面的 文件，以确保发布的数据是可解释的。DMAC将负责准备 所有必要的数据提交，与储存库人员进行沟通，并确保提交的数据包 根据存储库的要求，进行了充分的注释。

DATA MANAGEMENT AND ANALYSIS CORE - PROJECT SUMMARY/ABSTRACT The goal of the proposed program is to obtain in-depth profiles of how human innate and adaptive immune cells function in response to viral pathogens in tissues and to understand how the circulating responses relate to those in tissues. Using CMV as a model of infection, we aim to identify signatures for tissue-specific control of human immune responses for promoting in situ protective immunity in vaccines and immunotherapies. These efforts will generate thousands of data files representing the results of a diverse collection of assays. The Data Management and Analysis Core (DMAC) will be responsible for aggregating, annotating, organizing, analyzing, and disseminating this data. In that role the Core will serve as a centralized resource to support the shared data management and analysis needs of the Center, offering access to expertise and IT infrastructure that would be impractical to replicate in the context of individual projects. Specifically, the DMAC will: Coordinate data curation, storage, and sharing: Data files will have to be accompanied by appropriate clinical and experimental annotations to support both the program’s own analysis needs as well as requirements for submission to public NIH repositories. The DMAC will coordinate the collection and curation of this information in collaboration with the relevant projects and cores and will provide access to authenticated, network- accessible storage infrastructure for securely storing and sharing data files among investigators. Provide data analysis expertise: The DMAC will provide projects with analytical expertise to guide the execution of computational investigations. Where possible analysis tasks will be automated and standardized by leveraging (and adapting, as needed) validated computational pipelines developed to support the operation of well-established shared resources at the Columbia University Medical Center (CUMC). The Core will further utilize and enhance novel methodologies for the analysis of single-cell data and for the systems-level delineation of the regulatory programs that preside over cell-state transitions in T cells, dendritic cells, and macrophages. Facilitate access to high performance computing infrastructure: Through the Core investigators will have access to sophisticated IT infrastructure designed specifically to support the needs of biomedical research at the CUMC, including fast, network-accessible disk storage and a powerful computational cluster that is among the most advanced in the nation dedicated to biomedical research. Coordinate data dissemination: A key goal of the HIPC program is the timely dissemination of the data generated by all awardees to the research community. The process requires the compilation of comprehensive documentation to ensure that the data released are interpretable. The DMAC will be responsible for preparing all necessary data submissions, interfacing with repository personnel and ensuring that submission packages are fully annotated, per repository requirements.