Digitalization of health care: what can be done now

Abstract

Life sciences research is an excellent example of the generation of very large amounts of data of various types, which cannot be handled by simple means. The fact that there are more than 2,000 programs for working with various types of data, including big data, makes the task of processing them extremely difficult even for large federal centers. The root of the problem lies in the need for preliminary work with data and two operations - consolidation and virtualization. Repositories can be of various types, including portals, archives, storefronts, databases of various kinds, data clouds, and networks. They may have synchronous or asynchronous computer connections. Since the data type is often not known in advance, there is a need for a very flexible storage system that would allow easy switching between different sources and systems. The combination of the concept of a virtual personal supercomputer with the classification of big data, which takes into account various storage schemes, allows us to solve this problem.