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.