Big data in libraries and research

The purpose of this article is a systematic analysis of the digital management of libraries (data steward, researcher, digital data, content manager, etc.), especially its tools, in particular, based on big data and their analysis (Big Data, Data Mining). Other analytical tools are also used to solve urgent problems of the evolution of digital libraries, platforms for readers and researchers. Not only the interest in the analytical management tools of “Libraries 4.0” was used, but also the possibilities for the evolution of relations with librarians-researchers, team information and library activities. Using the methods of a systematic approach, in particular, modeling, an analysis (classification) of approaches, problems of library resource management is carried out. A comparative analysis of the capabilities of libraries (rates, volumes, etc.) is carried out in the presence of “white” (Gaussian) noise that interferes with data consolidation, their filtering to evaluate processes, etc. A formal model of library monitoring is described that makes it possible to effectively explore “deep” library connections. Our analysis and the proposed model are used to overcome the “breaks” of links.