Cancer Informatics Shared Resource Summary Modern cancer research critically depends on advanced computing, data analysis, and modeling for the generation of basic and translational experimental data; harmonization, secure storage, and retrieval of clinical data; clinical-molecular data integration; and interpretation, annotation, and integration of results. The Cancer Informatics Shared Resource (CISR) provides Masonic Cancer Center (MCC) members with cutting-edge multi-omics data analytics and translational data science, advanced natural language processing research and application development, data storage infrastructure, and expert consulting and collaboration to support all aspects of their research. CISR is a combination of the previous Bioinformatics and Clinical Informatics Shared Resources. It is led by Dr. Jinhua Wang, a Full Professor in the University of Minnesota Institute for Health Informatics and a computational biologist with research interests in computational modeling of high-throughput cancer multi- omics data. He is supported by Dr. Scott Walmsley, who was recruited to lead proteomics/DNA adductomics informatics, and Dr. Steven Johnson, who heads the Clinical Informatics Shared Service (CISS). Additional staff were recruited or promoted, and a genomics data repository was built to link genomic information with clinical health records. CISR will achieve its mission through 5 specific aims: 1) Support MCC researchers with advanced capabilities in cancer multi-omics informatics and clinical data science and analytics, through a FAIR and artificial intelligence/machine learning–ready data environment; 2) Pursue development of new methods in the areas of single-cell multi-omics, spatial transcriptomics imaging, and AI deep learning predictive models for cancer research; 3) Enhance clinical trial recruitment via data-driven understanding of the factors determining accrual success and decision models to enhance accrual; 4) Develop and provide integration infrastructure and methods towards developing cancer patient Digital Twins to support predictive oncology research and patient care; and 5) Provide education and training in multi-omics data analytics, spatialomics data integration, and precision oncology. CISR also has close collaborations with the Clinical Trials Office, Translational Therapy Shared Resource, Biostatistics Shared Resource, and the Cancer Research Translational Initiative within MCC, as well as with the Institute for Health Informatics and the Clinical and Translational Science Institute in the larger University community. In fiscal year 2022, 47 individuals used CISR services, of whom 41 were MCC members.