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Vol 46, No 1 (2019)

Article

The Information Effect of Transdisciplinarity in the Concept of Sustainable Development

Semenyuk E.P.

Abstract

The integration of science has been playing an especially important methodological and social role since the second half of the 20th century. Transdisciplinary and interdisciplinary research both appeared. The progress of social ecology has acquired great importance. The synergistic effect in science is extremely important for solving the problems of the sustainable development of society. The information aspect of the implementation of the noospheric strategy of sustainable development is closely connected with modern information technologies and processes in informatics.

Scientific and Technical Information Processing. 2019;46(1):1-13
pages 1-13 views

On Creating a National System for Identifying Research and Development Priorities

Sokolov I.A., Grigor’ev O.G., Tikhomirov I.A., Devyatkin D.A., Suvorov R.E., Zhebel’ V.V.

Abstract

This article considers the task of creating a national system for identifying research and development priorities and suggests a uniform information analysis system as a solution to this problem. A variety of criteria, as determined by the target function and long-term planning objectives, are recommended as a basis for analysis and selection of priorities. A prototype of such a system is briefly described and a general methodology of identifying national priorities is presented. The article uses thermoplastic materials as a model example of a subject area to illustrate how the general situation in a priority direction may differ from specific cases.

Scientific and Technical Information Processing. 2019;46(1):14-19
pages 14-19 views

Visualizing Information Resources in the Conditions of Digitalization of the Field of Knowledge: An Overview

Astakhova L.V.

Abstract

In this article, the specific features of the subject of knowledge under the conditions of digital culture are considered on the basis of epistemological and cyber-psychological research. Requirements for presenting information web resources with regard to the transformation a subject of knowledge undergoes as a digital subject are substantiated. This article reveals the lack of unity of the principles of energy efficiency and maximum entropy in the presentation of information web resources and insufficient visual quality of this presentation. A need for development of integrated information resource cartographic web services as forms of representing digital information for the field of knowledge is shown, as well as the advantages of these services.

Scientific and Technical Information Processing. 2019;46(1):20-27
pages 20-27 views

The Information System for Monitoring Research Activities in the Innovative Structure of a University

Dorofeeva V.I., Nikol’skii D.N., Fedyaev Y.S.

Abstract

The importance of information support as one of the elements of the functioning of the innovative structure of a supporting university is demonstrated. Features of using an information monitoring system for research and development work, which is focused on the support and development of innovation activities, are considered. The experience of using such a system at the Turgenev Oryol State University is reflected and the results for analyzing the innovative activities of the university are given.

Scientific and Technical Information Processing. 2019;46(1):28-33
pages 28-33 views

On the Unification of the Conceptual Model of the Meta-Ontology

Nesterov A.V.

Abstract

This paper discusses the unification of the meta-ontological model, namely, its conceptualization, in particular in library information activities. Arguments are presented that can allow us to unify the categorical declarative model of meta-ontology. The analysis is based on the categorical tensor fractal approach. These results provide an opportunity to intensify the discussion on this topic. It is declared that there is a need for not only conceptualization, but also categorization itself as the basis of the terminological dictionary of a specific subject area, branch, and field of knowledge. It is proposed to divide the ontological model into three components: (1) the categorial declarative component, (2) the production component, and/or, (3) the conceptual motivational component.

Scientific and Technical Information Processing. 2019;46(1):34-37
pages 34-37 views

Integration of the International Center for Scientific and Technical Information National Open Access Scientific Information Repositories of Member States

Lovtsov A.I., Ugrinovich E.V.

Abstract

An overview of the current state of the problem of open access to scientific and technical information is presented, technical and economic issues related to solutions to this problem are discussed, and a project for the integration of national repositories based at the International Center for Scientific and Technical Information is proposed.

Scientific and Technical Information Processing. 2019;46(1):38-44
pages 38-44 views

The Professional Activities of the Scientific Diasporas of the Pushchino Scientific Center of the Russian Academy of Sciences Abroad

Mokhnacheva Y.V., Beskaravainaya E.V.

Abstract

This paper presents the final results of a study on the activities of the scientific diaspora of the Pushchino Scientific Center (PSC RAS) abroad, which began in 2016. The information on the scientific careers of scientists from nine scientific research institutes of the PSC RAS who emigrated abroad for permanent residence is given: the proportion of former scientific researchers who continue to engage in scientific activities, the geography of the distribution of representatives of the diaspora; scientific organizations, where and how successfully they work. The research was conducted using scientometric, bibliometric, bibliographic, factual, and sociological methods. The professional “success” of representatives of the diaspora was assessed according to formal indicators: a Hirsch index (h-index) with a threshold value of 17 and higher; information about publications in the Essential Science Indicators (Clarivate Analytics) at the time of data collection; and distribution of published works by quartiles of publications.

Scientific and Technical Information Processing. 2019;46(1):45-51
pages 45-51 views