Kuchanskyi Oleksandr. The methodology for forming information spaces of
scientific subjects for sustainable development in higher education institutions. – Qualified
scientific work on the rights of the manuscript.
Thesis for a Doctor of Science Degree in specialty 05.13.06 "Information
Technologies". – Kyiv National University of Construction and Architecture, Kyiv, 2021.
The dissertation presents the results of generalization and solution of a significant
problem: the creation of a methodology for forming information spaces of scientific
subjects, which is an essential component of sustainable development of higher education
institutions and includes models and methods of a transparent quantitative assessment of the
productivity of scientific subjects. The methodology's application allows stimulating the
motivation of the subjects of scientific activity by providing rational financing of the most
productive of them, which is essential in the conditions of limited resource provision.
The analysis of the state of tasks of formation of information spaces and quantitative
estimation of productivity of scientific activity subjects, the formation of scientific subject
spaces, search of partners for cooperation within the limits of educational and scientific
projects are carried out. Multiple models of identification of individual and collective
subjects of scientific activity are developed. They formalized multiple models of
information space of scientific activity subjects and a conceptual scheme of their interaction.
These models and models and methods of identifying scientific subject spaces, evaluating
the productivity of scientific subjects and mathematical model, and method of multi-criteria
selection of potential partners for cooperation formed the basis for creating a methodology
for forming information spaces of scientific subjects.
Methods of forming scientific subject spaces based on cluster analysis of parameters
of models of identification of scientific activity subjects and based on latent-semantic
analysis have been further developed. The method of a quantitative assessment of the
productivity of individual and collective subjects of scientific activity, taking into account
self-citation and a method of estimation of prospecting of their productivity based on
retrospective data is improved. The mathematical model and method of multi-criteria
selection of potential partners for cooperation in research and educational projects have been
improved, which considers the organizational structure of projects and the quantitative
evaluation results of the productivity of scientific subjects of the relevant subject space.
The vector approach to the formation of spaces of scientific activity subjects of the
methodology of project-vector management in educational environments has been further
developed. It includes new and improved methods and models that allow to assess scientific
activity productivity, identify subject scientific spaces, form working groups of scientific
projects, and the composition of structural units of higher education institutions.
Information technology has been developed, which implements the methodology of
forming information spaces of scientific subjects using the technology of collecting 44
information from open sources, calculating and forming ratings of scientific subjects in the
relevant subject scientific spaces, etc.
The obtained results, both theoretical and practical, can be the basis for further
research to ensure sustainability, improve the organization, and manage scientific activities.
It is determined by the regulatory framework in this area, guided by the specifics of resource
provision and meets the requirements of international systems for assessing the productivity
of scientific activities.
Keywords: information technologies, information space, subject of scientific activity,
productivity assessment, higher education institution.
