Improving the efficiency of scientific research based on digitalization

A problem of efficiency growth of scientific and technological development by means of a purposeful management of the research process is analyzed. Rationing of working time is one of the important tools stimulating the activities of scientists. However, the issue of rationing research work in the scientific community remains open and controversial, since it is difficult to objectively assess the validity of established relationships only taking into account its specific features. The problem consists in the incompliance of the existing management system of scientific research with the requirements of scientific and technological development. The digital modeling of scientific problem solution was studied as an efficient tool of a precise, targeted management of the scientific search. It was shown that one of the priority goals of digitalization consists in a significantly exact and operational numeric calculation of forecasted results under the conditions of innovative development on the basis of use of factors that in reality reflect the conditions and means of system functioning. The purpose of the study: to develop a model for unambiguous determination of the research process management strategy when solving a scientific problem, taking into account real conditions based on a digital model. Tasks solved: 1. To explore the possibilities of quantitative assessment to justify the choice of a strategy for solving a scientific problem based on a digital model; 2. To develop a strategy for solving a scientific problem based on a digital model. The theoretical justification of strategy of a scientific problem modeling is provided. On the basis of the analysis of retrospective information of results of previous research with the help of a multi factor correlation and regressive analysis the digital modeling was carried out which allows creating the management strategy of a scientific problem solution. The digital strategy model can significantly reduce the time spent on research.