Publications by academic institute’s researchers inform scientific com-munity on the research findings. At the same time, they make an important organization’s reporting unit. The number of publications, citations in national and foreign science citation databases are the indicators of research performance. The rankings of journals where the articles are published, play the key role. It is important to choose the serial for publication in compliance with the reporting requirements, appropriate publication period, dates of issue and access to full texts.  

The author discusses the experience of the Information and Library Center of Osipyan Institute of Solid State Physics of the Russian Academy of Sciences (ISSP RAS) as a subsidiary research division. The Division acquires, keeps record of s and analyzes data on researchers’ publications and the serials where the papers are published. The author discusses the publications control system used for ranking and assessing contributions by individual researchers and research units to the research programs and government orders to the Institute.  

The author argues that today the publication performance reporting requirements do not conform to the governmental decrees on the moratorium on using indicators of foreign scientometric databases that have quitted the Russian market. She also emphasizes the need to develop Russian indexes of science citation based on RSCI to reflect global science information. The author analyzed the accessibility full texts published in the national research serials based on the websites of Russian Scientific Journals and National Periodicals Platform. She concludes that the situation for 2024-early 2025 is rather challenging. As of mid-February 2025, no 2024 issues of journals in physics where the Institute’s researchers are published, are loaded to the Russian Scientific Journals website, while the National Periodicals Platform comprises only half of the 2024 yearly set. This would negatively affect the information support of the studies and organizational reporting.  

While discussing the journals as the source for further studies, the author advises to transfer gradually to the hybrid — and further to digital publishing model to speed up scientific communications, to introduce current research fin-dings to the scientific discourse, and to embrace the most recent achievements of Russian science.

The accessibility of scientific information offers almost infinite possibilities for bolstering science status and prestige in the eyes of the widest population. The author discusses the popular approaches to science popularization, key models of scientific communication and related problems. When assessing the demand for scientific knowledge, the science communicators report on the “popularization boom”, on one hand, and on the relatively low awareness of Russian citizens of the current state of Russian science. The author emphasizes the role of the libraries in scientific knowledge popularization, promotion of scientific and technological achievements and enhancing prestige of science. Based on the analysis of RNPLS&T’s reports, the author concludes that RNPLS&T has numerous possibilities to popularize science, i. e. the base (the collection of scientific literature), subjects (certified library professionals), and audience (users). The Library is interested in the activities (educating, attracting the users). In compliance with the provisions of the RNPLS&T’s Statute, science popularization can become an important and adequate vector of activities. This work is carried out, to a varying degree, by every RNPLS&T’s division. The purpose of the study is to identify and analyze the possibilities for science popularization as exemplified by the initiatives of the RNPLS&T’s group of Ecology and Sustainable Development Projects. In 2016–2024, the group accomplished several projects oriented towards students at secondary schools and universities. The author reviews the RNPLS&T’s digital collections on environmental protection and nature management that lay the foundation for the projects. The author discusses their contents and structure, formulates goals, tasks and approaches applied by the developers, and analyzes demand for the projects, their features, and their stages. In the author’s opinion, the library lessons make the most effective form of science popularization, together with the thematic resources in the open access at the RNPLS&T website.  

The author concludes on the potential of this work for focusing attention of the young on scientific literature which is evidenced by the persistently high rate of the users who potentially need support in information search.

As the global patent collection is widening, the complexity of patent documents search for assessing technique novelty, i. e. revealing the relevant art or prior art from public patent data, is increasing, too. Searching for this information, vast and complex, is challenging. Research findings evidence on the increasing scale of NLP use for more accurate and integrated patent search. Despite many achievements, the automated patent search system for appropriate accuracy and completeness has not been introduced. The author argues that development of new effective approaches to designing these systems is significantly limited due to the lack of the datasets ready for educating and testing. The automated acquisition of datasets of arbitrary configuration (with consideration for various selection criteria, i. e. documents by patent agency/agencies; all published documents for a limited period of time: document types; patent classification classes, etc.) would enable to eliminate limitations and build the datasets meeting the needs and goals set up by the systems designers. The author proposes new approaches to dataset acquisition, testing of automated art patent search systems, and assessment of these systems.

The author discusses the algorithms and scientifically substantiated principles for designing bibliographic search intelligent system based on modern intelligent technologies, e. g. intelligent linguistic text analysis, smart database management, and Internet search methods. For the first time, in the context of bibliographic theory and capabilities of modern intelligent software, the new algorithm for the integrated system of bibliographic and specialized periodicals search for publishing research papers is developed. The proposed methods comprise automatic generation of normalized keywords database on the basis of the UDC headings and assignment of the keywords to the papers in this normalized database by the intelligent linguistic text analysis system. Using the keywords as the tags in the form of UDC headings comprising every field of knowledge enables to tag and characterize scientific papers (articles) and scientific publications (journals, conference proceedings) in the most complete and specific way. The proposed bibliographic search system searches for scientific articles and specialized serials automatically by the normalized keywords, assigned to the scientific articles and journals through the intelligent linguistic text analysis. The study is to make social contribution by demonstrating the significance of design and use of the best practices, processes and strategies of bibliographic search that make the key element of modern science advancement. Moreover, in the social aspect, the bibliographic information is a way to find connections between the personal and social knowledge. The study findings can be implemented, in accordance with proposed algorithms, in designing the structure of specialized public Internet-based search resource.

Prof. Yury N. Stolyarov’s contribution to the development of terminology and conceptual framework of document and information sciences is emphasized. Yury Stolyarov stood at the origins of documentology; however, there is still the need for intensive development of the discipline methodology. We have to understand the conventionality of scientific constructs at the theoretical (supra-empirical) level of research as the variability in building of theoretical schemes models, conceptual frameworks, and concept naming. Concept conventionality is about choosing the optimum meaning of the term for problem solution, elimination of disproportionalities of constructs in a certain field of knowledge. The conventionality of term formation in the context of the concept well-reasoned to eliminate disproportionality, allows the choice of the term not necessarily the most motivated for expressing the concept.