Data Management Core

项目总结 MOVE联盟寻求通过迭代框架加快艾滋病毒疫苗的开发 设计和测试可可靠地诱导广泛、持久免疫的补充性免疫原矩阵。在 这种相互依赖的协作努力，Move Consortium产生了大量快速变化的、 异类数据，给管理、跟踪和共享数据带来了挑战。 数据管理和生物信息学核心的目标是促进重复使用和理解 我们生成的大型、多学科、多组学数据。我们的目标是公布尽可能多的数据和结果 通过管理、跟踪和监控所有移动活动和数据资产 并将它们发布在我们的移动数据门户网站data.hivmove.org上。为了帮助理解这些数据， 我们将开发各种方法，通过创新的方式提高数据的可访问性和可解释性 生物信息学软件和可视化工具。最后，我们致力与社会各界合作，推广 采用和适应我们的数据和工具，并在整个 研究社区。 为了实现这些目标并支持MOVE联盟的总体使命，我们有以下几点 三个目标。首先，我们将开发用于捕获数据和元数据的可重现管道。接下来，我们将设计 并实施定制的交互式数据门户和API，以根据公平的数据实践共享数据 (可查找、可访问、可互操作、可复制)。最后，我们将开发支持项目1和2的工具， 以动物模型为核心，以结构蛋白质组学为核心，加速人类特色化 Q23的免疫原性、增强免疫原候选者的鉴定和交付的评价 机械装置。这些目标将促进移动数据的共享和重用，开发出可扩展和可重用的 数据共享的技术和实践，并构建新的免疫学分析和可视化工具 数据。

PROJECT SUMMARY The MOVE Consortium seeks to accelerate the development of an HIV vaccine through an iterative framework to design and test a matrix of complementary immunogens that reliably induce broad, durable immunity. Within this collaborative, interdependent effort, the MOVE Consortium produces vast amounts of rapidly changing, heterogeneous data, creating challenges in managing, tracking, and sharing data. The goal of the Data Management and Bioinformatics Core is to promote the reuse and understanding of the large, multidisciplinary multi-omics data we generate. We aim to release as much of our data and results as possible, as quickly as possible, by managing, tracking, and monitoring all MOVE activities and data assets and publishing them on our MOVE Data Portal, data.hivmove.org. To aid in the understanding of these data, we will develop approaches to improve the accessibility and interpretability of our data through innovative bioinformatics software and visualization tools. Lastly, we seek to engage with the community to promote the adoption and adaptation of our data and tools and to proliferate FAIR-sharing best practices throughout the research community. To accomplish these objectives and support the overall mission of the MOVE Consortium, we have the following three aims. First, we will develop reproducible pipelines for capturing data and metadata. Next, we will design and implement a custom interactive data portal and API for sharing the data according to FAIR data practices (findable, accessible, interoperable, reproducible). Lastly, we will develop tools in support of Projects 1 and 2, the Animal Models Core, and the Structural Proteomics Core to accelerate the characterization of human immunogenicity of Q23, identification of boosting immunogen candidates, and evaluation of delivery mechanisms. These aims will promote the sharing and reuse of MOVE data, develop extendable and reusable technologies and practices for data sharing, and build new analysis and visualization tools for immunological data.