Digitalization of the process of assessing scientific institutions that receive government support-Reference-Cited by-同舟云学术

Digitalization of the process of assessing scientific institutions that receive government support

Published:2023 Issue:4(28) Volume: Page:77-87
ISSN:2520-6524
Container-title:Science, technologies, innovation
language:
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Author:

Nesterenko O. V.¹^ORCID,Zharinov S. S.²^ORCID,Polischuk V. B.²^ORCID

Affiliation:

1. International European University

2. Ukrainian Scientific Center for the Development of Information Technologies

Abstract

The article reveals the state and prospects for the development evaluation process of scientific institutions which is provided with state support in Europe and Ukraine. It has been demonstrated that the effectiveness of assessment processes can be significantly enhanced through the utilization of modern informational tools and digital communication means. Based on an analysis of assessment processes in scientific institutions across European countries and the influencing factors on the conduct of scientific and technical activity evaluations, recommendations have been proposed for the application of information technologies to facilitate the development of assessment processes within scientific institutions. To engage Ukrainian scientists in the country’s scientific and technical landscape, particularly for the purpose of refining the assessment processes of scientific activity, it is advisable to employ a specialized national information system presented through an advanced internet portal. The assessment process involves multi-criteria considerations and ambiguity in the interpretation of many indicators characterizing the activities of a scientific institution. To address tasks of varying informational complexity, the application of an integrated decision support method is proposed. This method incorporates expert ranking techniques for evaluating alternative options, including the method of approval voting, the analytic hierarchy process, analytical network process, as well as ontological data representation within the subject area. This aids in constructing hierarchies and criterion vectors for alternative assessments. Additionally, graph theory is employed to optimize expert processes by visualizing pairwise alternative comparisons. Based on the outcomes of the conducted research, recommendations have been formulated to facilitate the digitization of the process of evaluating the activities of scientific institutions in order to enhance its efficiency.

Publisher

State Scientific Institution - Ukrainian Institute of Scientific and Technical Expertise and Info

Subject

General Medicine

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