PROJECT SUMMARY Technical advancements have enabled the generation of large amounts of highly specialized and complex molecular data (e.g., single-cell transcriptomics and multiplex imaging) to study organ development, healthy and disease states, and differences between biological sexes at unprecedented scale and cellular resolution. This complexity introduces challenges in the organization and curation of these datasets and in applying computational methods. There is a need to provide accessible advanced analysis and visualization tools, and to utilize our domain knowledge to enable entry points for the research community to reuse data and ask new questions about human health and generate new hypotheses. Our overall objective is to create connections between molecular data of kidney and lower urinary tract present in GUDMAP, RBK, KPMP, HuBMAP (each consortium is represented on our team), so researchers with varying levels of experience can find relevant data, understand connections across model systems, and gain new insight by using provided analysis tools. Our vision is to establish the National Institute of Diabetes and Digestive and Kidney Diseases ATLAS (D2K-ATLAS) as a comprehensive data portfolio for renal and genitourinary development and disease. Curated data-driven reference data enables comparative analysis using advanced computational studies across various parameters, including sex, age, species, and healthy and disease settings. Providing analysis and visualization tools will aid knowledge transfer and broaden the usability of submitted data. Aim 1) Create a comprehensive, integrated, and F.A.I.R. cloud-based data management system integrating GUDMAP and RBK data, multi-species ontologies to facilitate cross-linkage of multi-study, multi-modality, and multi-consortia data, and web applications for data exploration and access. Aim 2) Implement web-based tools, data integration, human and mouse reference atlas, and data visualizations that enable researchers to interact with quality controlled, curated data for advanced analysis by developing processes, tools, and an access control policy for data collection, curation, publication, image annotation, quality control, analysis, and visualization. Aim 3) Administration, coordination, collaboration, dissemination, and outreach by our D2K-ATLAS Center, which will facilitate, communicate, and collaborate with the NIDDK, the GUDMAP/RBK Steering Committees and Consortium Management Boards, and investigators to achieve consortia goals, including education, outreach, and management of the Opportunity Pool awards. This effort will be significant because it provides curated reference datasets, establishes aligned data stewardship standards across the represented consortia and creates a consensus anatomical/cell type ontology linked to key biomarkers. Computational analysis is both an advancement and a barrier, requiring bioinformatics expertise. Our innovative proposal lowers these analysis barri...