PROJECT SUMMARY This project, focused on biomedical big data analysis in cancer research, represents a response to the ongoing need for initiatives that enhance the capabilities of researchers in the field. As the volume and complexity of cancer-related data continue to grow, equipping researchers with data analysis skills and conceptual understanding is paramount. The 12-day workshop component of the renewal proposal aims to provide participants with the essential knowledge and practical skills necessary for proficiently handling and interpreting large-scale datasets, especially different types of omics data in cancer research. By fostering competence and confidence in data analysis, the workshop will contribute to a more informed and skilled research community, thereby enhancing the utility and value of the NCI-funded data. Through its rigorous curriculum and hands-on training, our proposal aligns with current data analysis challenges while providing flexibility and adaptability over the performance period. The proposal is a follow-up to two previous rounds of funding and underscores our ongoing commitment to advancing cancer research through robust data analysis techniques. The continued demand for big data training is supported by the results from the survey of our workshops and the substantial number of applications to the workshop each year. This proposal includes an updated course that leverages the successes and insights gained from the current big data courses for cancer researchers and the previous courses on big data training for biomedical researchers supported by NIH/BD2K, ensuring the topics are adapted to the constantly evolving nature of big data in cancer research. Our multidisciplinary team includes expertise in basic cancer research, clinical oncology, bioinformatics, biostatistics, and computer science by harnessing the collective expertise from the Chao Family Comprehensive Cancer Center of the University of California, Irvine (UCI), University of Colorado Cancer Center, and the Anvil supercomputer (number 143 on the Top500 list of the world's most powerful supercomputers). University of California, Irvine is in a unique position to lead a big data education program through partnerships with the current American Association for Cancer Research (AACR) epidemiology workshop team, the Frederick National Laboratory for Cancer Research (FNLCR), the Cancer Informatics for Cancer Centers (Ci4CC), and the Big Ten Cancer Research Consortium (Big Ten CRC). By targeting cancer researchers who appreciate the value of big data but lack the analytical skills necessary, this renewal proposal will incorporate new topics in current cancer research and establish a cohesive big data community for sustainable communications of workshop participants. The overarching goal of the proposed renewal project is to empower the participants with skills and confidence to efficiently manage, visualize, analyze, integrate big data, and derive meaningful ins...