Managing IT systems for biomedical research is enormously expensive and difficult. It includes building and maintaining expensive machine rooms, managing security guards, conducting physical and cyber security audits for regulatory compliance, managing disaster recover strategies, and regularly upgrading, patching, and replacing IT systems while trying to avoid disruptions.
In addition to managing physical infrastructure to host software and data, technologies such as mobile services, and IoT devices may require integration with telecom systems while big-data machine learning systems require massive amounts of compute and data storage resources.
Maintaining all this infrastructure while planning for growth and change is wasteful and often beyond the financial capabilities of research organizations. The only financially sustainable solution is cloud systems which securely share physical resources among thousands of users and are thus able to maintain the most advanced technologies at scale.