Data Management and Analysis Core

数据管理和分析核心：项目总结 该计划的目标是深入了解人类的先天免疫和获得性免疫。 细胞的功能是对组织中的病毒病原体做出反应，并了解循环反应如何相关 对纸巾里的人。利用巨细胞病毒作为感染模型，我们的目标是识别组织特异性控制的信号。 在疫苗和免疫疗法中促进原位保护性免疫的人类免疫反应。 这些努力将产生数千个数据文件，代表不同的化验结果。 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。在这一角色中，核心将作为一个集中资源来支持 中心的共享数据管理和分析需求，提供对专业知识和IT基础设施的访问 在个别项目的背景下复制这一点是不切实际的。具体来说，DMAC将：1. 协调数据管理、存储和共享：数据文件必须伴随适当的临床 和试验性注释，以支持程序自身的分析需求以及 提交给公共NIH储存库。DMAC将与 相关项目和核心，并将提供对经过身份验证的网络可访问存储基础架构的访问 用于在调查人员之间安全存储和共享文件。2.提供数据分析专业知识：DMAC将 提供具有分析专业知识的项目，以指导计算调查的执行。分析将 通过利用(并根据需要调整)经过验证的计算管道来实现标准化 支持哥伦比亚大学医学中心完善的共享资源运营。这个 CORE将进一步利用和加强新的方法来分析单细胞数据和 T细胞、树突状细胞中主导细胞-状态转换的调节程序的系统水平描述 细胞和巨噬细胞。促进高性能计算基础设施的访问：DMAC将 让调查人员能够访问专门为支持以下需求而设计的复杂IT基础设施 CUMC的生物医学研究，包括快速、网络可访问的磁盘存储和强大的 致力于生物医学研究的全国最先进的计算集群之一。 4.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 由公共资源库的所有获奖者生成。这一过程需要编制全面的 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，与存储库人员进行交互，并确保提交包 完全注解了每个存储库的需求。

DATA MANAGEMENT AND ANALYSIS CORE: PROJECT SUMMARY 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: 1. 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 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 files among investigators. 2. Provide data analysis expertise: The DMAC will provide projects with analytical expertise to guide the execution of computational investigations. Analyses will be 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. 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.3. Facilitate access to high performance computing infrastructure: The DMAC will provide investigators 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. 4. Coordinate data dissemination: A key goal of the HIPC program is timely dissemination of the data generated by all awardees to the public repositories. 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.