The RF government has approved The Strategy for Librarianship that, above all, comprises the tasks of providing equitable access of the citizens to information and building inclusive library space. To assess the strategy implementation, G. A. Albrech Federal Research and Educational Center for Medical and Social Expertise and Rehabilitation of the RF Ministry of Labor and Social Security monitors annually the degree of library services accessibility and implementation of the ”roadmaps” by the regional authorities. The data are collected through a digital hub.

The authors cite the findings of the survey: number of accessible e-libraries in the RF entities, and municipal and regional library websites available for visually impaired users. The indicators obtained correspond to the International Classification of Functioning, Disability and Health (ICF) domains and unified scale.

The resulting ranking evidences that the sector of inclusive library services is common in Russia. However, the limitation of this assessment is that it is based exclusively on the indicators included into the regional “roadmaps”. The survey findings are incorporated when planning for facilitating libraries accessibility on the regional level.

The study is accomplished within the R&D project “Scientific rationale and development of proposals for targeting accessibility of objects and services for disabled persons” as approved by the RF Ministry of Labor and Social Security.

Modeling is a common method of scientific knowledge, especially in the domains where conducting real experiments involves high financial costs or is physically impossible. This method enables researchers to create simplified models of complex systems, which makes it possible to analyze and study their behavior in various conditions. In a general sense, modeling can be described as an experimental approach to examining real-world systems based on their models.

The diagram illustrates the modeling of the library user service process in a general way. The scheme includes the flows (incoming, outgoing, managing, and resource) to detail into the library operation. In addition, the author provides the generalized schemes of two models of higher education institution’s library, namely reactive and proactive ones. The service schemes are complemented with generalized schemes of modeling algorithm of the library user service process.

The authors discuss the results of the development of the new master version of the State Rubricator of Sci-tech information (SRSTI, GRNTI) in part of Engineering and Applied Sciences. Branches of Economy, and Interindustry Problems section. The following information objects are analyzed: SRSTI 2022 classification tables as amended and supplemented in 2023; RF Basic Research Program for 2021–2030; verified version of the Nomenclature of Scientific Specialties of Higher Attestation Commission (VAK); List of Priority High-end Technologies approved by the RF Presidential Decree No. 529 of June 18, 2024; RNPLS&T’s inflow of sci-tech literature classified by SRSTI classes.

Based on the analysis, the necessary changes were identified to be incorporated into the thematic classes of the Engineering and Applied Sciences. Branches of Economy, and Interindustry Problems section of the valid SRSTI version to provide relevance of SRSTI new version to the current status and trends of the scitech knowledge. The authors cite the following statistical data for Engineering and Applied Sciences. Branches of Economy: 332 new subject headings, 67 headings excluded, and updated descriptions of 630 headings; for the Interindustry Problems section: 30 new subject headings, 17 headings excluded, and updated descriptions of 101 headings.

The authors discuss the radical changes in the development strategy of the modern academic library in the digital transformation era. The KFU Scientific Library addresses these changes in the context of The Priority-2030 Project. The academic library’s strategy for the nearest future is described and characterized in detail. In their study, the authors substantiate the need for librarian personal growth and professional development to obtain relevant competences. The role of the proprietary e-library (repository) is emphasized. The authors specify skills essential for working with the repository, analyze the survey findings which reveal the users’ requirements to library retrieval systems. They also describe the KFU software complex intended for developing institutional repository based on the open-source DSpace platform. The authors conclude that transformation of academic libraries is relevant to the general trends both in academic research and education. Large-scale implementation of digital technologies, from developing proprietary digital archives (repositories) and search systems to professional development programs development for users, students and faculty, challenges the KFU Library today.

Within the framework of the R&D project theme: “Open access in research and information activity and development of open archive multifunctional system consistent with open license mechanisms and artificial intelligence elements”, the RNPLS&T specialists explore into the use of recommendation systems in the library information sphere and related domains. The purpose of the study is to find key approaches toward development of recommendation systems and to forecast the possible prospects for them. The author applies the methods of content analysis of relevant publications on recommendation systems, and analyzes the functionality of recommendation systems in the library information practice. She describes various approaches to recommendation systems in national and foreign practices in various spheres, defines key technologies of recommendation systems use in libraries, i. e collaborative and content filtration. The author concludes on the viability of the content filtration. The options for linguistic tools in recommendation systems with content filtration are examined, the corresponding options are suggested for the library and information sphere. The tasks for recommendation systems are formulated, the promising vectors for recommendation service are outlined. The suggestions for recommendation systems may be applied for building recommendation services in the library information practice.

The authors explore the functionalities of digital information resources of the RF federal archival institutions: their capability to satisfy the current and emerging demands in the modern society, as well as the archives preparedness for unified information space.

Historically, the majority of governmental federal archival institutions is concentrated in the European part of the Russian Federation, and access to their resources is hindered for many Russian citizens by distance barriers, differences in economic welfare, lack of time for visiting archives, limited physical space of the archival reading rooms, and the requirement to arrange early for the visit. The authors discuss the results of testing Internet-based resources of Russian federal archival institutions for online use by the citizens. The .challenges and drawbacks are described. The functionality of digital resources is summarized in the table.

The authors formulate the proposals for further development of information resources of the federal archival institutions, e.g. functionality expansion, information content, intrabranch and exterior interaction.

In the context of scientific and technological progress, the level of scientific journal is a key element of the modern national system for assessing research performance. Categorizing scientific journals is one of the primary tasks of bibliometrics, and the constant growth in the volume of data on publications and journals requires credible analysis of the alignment between declared and observed categorization patterns. The purpose of this article is to test the application of Exploratory Data Analysis (EDA) to study the distribution of scientific journals across the “White List” levels and to identify statistical patterns linking a journal's level to its indexing in scientometric databases (DB). The research subject is open data on scientific journals on the “White List”. The study employs statistical approach to analyzing publication data, implemented in the Google Collaboratory digital environment using Python programming language libraries for EDA (Pandas, Matplotlib, Seaborn). The results enabled a quantitative analysis of the alignment between empirical data and the “White List” journal categorization rules, revealing differences in indexing patterns across different journal levels. The practical significance lies in integrating EDA digital technologies into the bibliometric toolkit, opening opportunities for verifying categorization systems and advancing bibliometric methods amid the digitalization of science.

In the context of spike of science publications, the automatic abstracting based on AI technologies has become a relevant task. The existing abstracting models use the trained large language models which deployment requires significant hardware resources. Meanwhile, specialized models based on the same transformer architecture do not require such big resources and therefore, can be used both on local servers and in the cloud environment at a much lower cost. The authors discuss the results of the ROUGE assessment of the abstracts generated in the LLM MBart (specialized model) and T-lite (universal model). The original large scale prompt was formed of the articles published in “Scientific and technical libraries” journal in 2025. The analysis findings evidences that MBart model demonstrates the better ROUGE metric value. However, the obtained data do not evidence on the quality of abstracts generated by the compared models, as the ROUGE metric shows just the match value for the words and phrases in the abstract and the reference text. The authors conclude that the “lightish” models, like MBart, may be deployed just locally in the libraries and without graphic processor, which would be more preferable for their practical common use.