Project Summary – Montana INBRE Data Science Core Community health and biomedical research depend on local capacities to rapidly generate, analyze, and disseminate information emerging from large and complex datasets. The MT INBRE Data Science Core (DSC) will provide technical support and facilitate access to resources necessary to ensure researchers across the MT INBRE network can employ leading-edge computation, cloud, and data collection and management strategies, including those for community data. The DSC also will provide increased experiential training opportunities for students. Training efforts will be aligned with Data Science (DS) programs at Montana Technical University (MT Tech), Montana State University Bozeman (MSU), and the University of Montana (UM), while responding to self-identified needs across the state through on-site and remote train-the-trainer workshops for primarily undergraduate institution (PUI) and Tribal college (TC) faculty. The efforts and direction of the DSC will be guided by four Aims: Specific Aim 1. Position Montana faculty and students to be leaders in computational science, big data analysis, and artificial intelligence by improving infrastructure and access to resources. Specific Aim 2. Expand capacity for the collection and application of community data geared toward improving the health of rural, urban, and native Montanans. Specific Aim 3. Build regional data science expertise by providing experiential training opportunities to students and faculty. Specific Aim 4. Contribute to Western IDeA regional efforts to develop data science expertise and capacity throughout the RAIN network. A strength of the MT INBRE DSC is the experience to support research projects with community and social science elements throughout the state while collaborating with the training efforts of the Regional Alliance of INBRE Networks (RAIN) to take advantage of regional resources and enhance network diversity.