Data Management and Resource Dissemination Core

项目总结（见说明）： 数据管理和资源传播（DMRD）核心的目标是最大限度地利用该计划为其成员和更广泛的科学界产生的广泛资源。 管理数据和资源，在计划内提供访问权限，并及时公开分发，是核心的主要职责。我们选择了一种扩展现有资源和工具的战略，其中许多是由该计划的成员开发的，这些资源和工具补充了以前和正在进行的工作。 该核心的目标是： 目标1：实施数据管理工具，以：a）适应从该计划的多个站点生成的数据集的广泛多样性和大规模性质，以及B）方便所有团队成员访问数据、工作流程和分析结果。 目标2：将现有的项目相关网站与新生成的数据集、协议和调查结果相结合，并开发新的针对具体项目的门户网站。DMRD核心将扩展我们的成员开发的结核病网络门户网站，以纳入0 TB计划的新目标;开发一个特定于计划的门户网站，将所有数据源收集在一起，并在该门户网站和其他相关门户网站之间实现适当的连接，以最大限度地将所有核心的结果和内容暴露给更广泛的结核病和免疫学社区。 目标3：协调对适当公共数据储存库的贡献，并提供与目标2中开发的资源的无缝链接。这些贡献包括原始和处理的组学数据集，以及工具和试剂。

PROJECT SUMMARY (See instructions): The goal of the Data Management and Resource Dissemination (DMRD) Core is to maximize the utility of the extensive resources generated by this program to both its members and the wider scientific community. Managing data and resources and providing access within the program and timely public distribution are the key responsibilities of the Core. We have opted for a strategy that expands upon existing resources and tools, many developed by members of this program, that complement previous and ongoing work. The aims of this core are: Aim 1: Implement data management tools that: a) accommodate the wide variety and large-scale nature of the datasets generated from the Program's multiple sites and b) facilitate access to data, workflows, and analysis results for all team members. Aim 2: Integrate existing project-related websites with newly generated datasets, protocols, and findings and develop new program-specific portal. The DMRD Core will expand the Tuberculosis Network Portal developed by our members to incorporate the new goals of the 0TB Program; develop a program-specific portal that gathers all data sources together and implement appropriate connectivity between this and other relevant web portals to maximize exposure of results and content from all cores to the broader TB and immunology communities. Aim 3: Coordinate contributions to appropriate public data repositories and provide seamless links from resources developed in Aim 2. These contributions include raw and processed omics datasets, as well as tools and reagents.