DIGITAL TRANSFORMATION OF PLANNING AND MONITORING PROCESSES OF SCIENTIFIC PROJECTS
DOI:
https://doi.org/10.32782/ecovis/2026-1-4Keywords:
digital transformation, scientific projects, planning, monitoring, e-Science, digital platforms, research management, data analytics, Logit model, process, project management, digital technologies, digital toolsAbstract
The article explores the theoretical and applied aspects of the digital transformation of the processes of planning and monitoring scientific projects in modern conditions of digitalization of scientific activity. It is substantiated that the growth of interdisciplinary research, globalization of scientific cooperation and increased requirements for the efficiency of resource use determine the need to introduce digital technologies into the scientific research management system. Modern approaches to the use of information and communication technologies in planning, coordination and control of the implementation of scientific projects are analyzed. The role of digital project management platforms, cloud services for collective work, research data management systems and analytical business analytics tools in increasing the efficiency of research management is determined. The concept of e-Science is considered as the basis for the digital transformation of scientific research, which involves the use of global information networks, cloud computing, big data processing systems and digital research infrastructures. The advantages of using digital tools in the planning and monitoring processes of scientific projects are substantiated, in particular, increasing the transparency of management, the efficiency of decision-making, the efficiency of resource use and the development of international scientific cooperation. An integrated model of digital planning and monitoring of scientific projects is proposed, which reflects the relationship between the input conditions for the implementation of research, the stages of digital management, the results of project implementation and the factors of digital transformation. Within the framework of the model, the key factors of digitalization of scientific project management are identified and an econometric Logit model for assessing the effectiveness of the implementation of research programs is presented. It is proven that the implementation of digital scientific project management systems contributes to the optimization of planning processes, automation of task monitoring and increasing the effectiveness of scientific activity.
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