MR researchers are challenged with managing large data sets, scaling complex computational analyses, and supporting cross-functional collaboration. To tackle these challenges, Columbia University has fully integrated their data management and processing in the cloud to take advantage of high-performance yet low-cost storage, scalable on-demand compute resources, and secure regulatory-compliant infrastructure for sharing of data and algorithms. The result is a platform that has enabled more efficient workflows, greater productivity, and multi-site collaboration.
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