Keywords: information support, scientific paper, paper preparation management, peer review, intelligent review analysis
Information support in scientific paper preparation management on the basis of intelligent review analysis
UDC 004.85, 005.9
DOI: 10.26102/2310-6018/2022.36.1.005
Intelligent technologies are actively entering different fields of activity. These technologies are also beginning to be utilized at certain stages of scientific paper preparation management process to organize information support for peer reviewers and editors of the academic journals for the purpose of reducing their labour costs and accelerating the procedure of paper publication. However, tools, implementing intelligent technologies, are mostly used in major publishing houses due to the fact that their application requires strong computing resource consumption in their work. This entails the need for appropriate hardware and large financial expenditure. For that reason, the employment of intelligent technologies is nowadays limited for most of other academic journals. To deal with this problem, an approach to decision-making information support in scientific paper preparation management on the basis of intelligent review analysis is suggested in this article. The testing of the proposed measure to information support at the Aeterna Research and Publication Centre has proven its effectiveness by the example of paper preparation management in Academicheskaya publitsistika (Academic Publicism) and Innovatsionnaya nauka (Innovative Science) Journals.
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Keywords: information support, scientific paper, paper preparation management, peer review, intelligent review analysis
For citation: Latypova V.A. Information support in scientific paper preparation management on the basis of intelligent review analysis. Modeling, Optimization and Information Technology. 2022;10(1). URL: https://moitvivt.ru/ru/journal/pdf?id=1128 DOI: 10.26102/2310-6018/2022.36.1.005 (In Russ).
Received 01.01.2022
Revised 25.01.2022
Accepted 18.02.2022
Published 31.03.2022