Relevance. The relevance of this study is determined by the need to enhance the legal certainty of monitoring the activities of the State Scientific Centers of the Russian Federation, since the current regulatory framework does not fully establish the system of evaluation criteria, the procedure for their application, or the legal consequences of monitoring results. This creates risks of inconsistent law enforcement and necessitates further improvement of the regulatory and methodological framework for evaluating the activities of the State Scientific Centers of the Russian Federation.

Objective. The objective of the study is to identify problems related to the regulatory certainty of the criteria used for monitoring the activities of the State Scientific Centers of the Russian Federation and to substantiate the need to improve the legal regulation of the system for evaluating their activities.

Methodology. The study is based on an analysis of regulatory legal acts and methodological documents governing the monitoring of the activities of the State Scientific Centers of the Russian Federation, as well as scientific and analytical sources addressing the evaluation of the performance of State Scientific Centers. The formal legal, comparative legal, and systems approaches were applied.

Results. The study revealed that the current legal regulation of monitoring the activities of the State Scientific Centers of the Russian Federation primarily establishes procedural aspects of evaluation, whereas the system of substantive indicators O1–O11, the methods for calculating them, and the procedure for interpreting the results have not been sufficiently formalized in regulatory terms. It was established that the use of the Methodological Recommendations as the principal source for determining evaluation criteria creates risks of legal uncertainty, divergent interpretations of indicators, and an expansion of the discretion of the authorities involved in the monitoring process. Possible areas for improving the regulatory framework were substantiated, including the formal regulatory establishment of the list of indicators and the methods for calculating them, as well as the distinction between mandatory and analytical evaluation criteria.

Conclusions. The article demonstrates the need to refine the regulatory and methodological framework for monitoring the activities of the State Scientific Centers of the Russian Federation. It is shown that, while preserving the role of the Methodological Recommendations as an instrument for detailing and standardizing reporting, the key evaluation criteria capable of affecting the retention or termination of the status of a State Scientific Center of the Russian Federation should be properly established in regulatory legal acts. This would enhance the transparency, comparability, and predictability of the monitoring process and reduce the risks of inconsistent law enforcement.

Introduction. Strategies for Russia’s civilian presence in Svalbard are considered, with a focus on tourism and scientific cooperation as key instruments of soft power and geopolitical positioning.
Aim. Assess the significance of tourism and scientific cooperation for Russia’s civilian presence on Svalbard.
Material and methods. Drawing on policy documents, official statements, and recent developments, a qualitative document analysis is combined with a case study approach.
Results. An analysis is provided of how Russia seeks to maintain and reconfigure its presence on the archipelago amidst economic constraints and Norwegian policy.
Conclusion. Tourism is becoming the central pillar of Russia’s civilian presence on the archipelago, whereas scientific engagement with BRICS and other partners is more likely to unfold elsewhere in the broader Russian Arctic.

Introduction. Open licenses have become the foundation of the Open Access movement and open science. However, classic licenses, including the GNU GPL and the Creative Commons (CC) family, do not address the specifics of using works as training data for AI, nor do they regulate the legal status of neural network weights and the output data generated by models.

Aim. To analyze the evolution of open licensing in the CIS member states, identify the legal and practical aspects of applying artificial intelligence (AI) technologies to process scientific and technical information (STI) on leading regional platforms, and develop recommendations for adapting licensing mechanisms to the tasks of automatic abstracting, annotation, and thematic structuring.

Materials and Methods. The study is based on a comparative legal analysis of the national legislation of the Russian Federation, the Republic of Belarus, the Republic of Kazakhstan, and Ukraine regarding the regulation of open licenses. A review of the practical implementation of AI technologies (neurosearch, automatic classification, text summarization) on the platforms of the Scientific Electronic Library eLibrary, the National Electronic Library of the National Library of the Russian Academy of Sciences, the All-Russian Scientific and Technical Library of the Russian Academy of Sciences, the State Public Scientific and Technical Library of Russia, and the United Institute of Informatics and Problems of the National Academy of Sciences of Belarus was conducted. An analysis of the compatibility of Creative Commons (CC) licenses and specialized AI licenses (OpenMDW, RAIL) with machine learning tasks on NTI datasets was conducted.

Results. Heterogeneity of the legal regulation of open licenses in the CIS was established: the most developed systems are in Russia (Articles 1286.1 and 1368 of the Civil Code of the Russian Federation), Belarus (Article 45 of Law No. 262-Z), and Kazakhstan (Digital Code of 2026). It was found that platforms are actively implementing AI, but licensing restrictions create legal barriers to automated processing. Unresolved issues include the legal status of datasets, neural network model weights, and model outputs, as well as the lack of exceptions for text and data mining (TDM) in CIS legislation. It was shown that CC BY-licensed collections and public domain works are most suitable for creating open datasets.

Conclusion. To legally use AI in processing NTI, libraries and information centers are recommended to primarily use CC BY-licensed documents, comply with ND and NC restrictions, and label automatically generated content. Harmonization of CIS legislation, adaptation of specialized AI licenses to regional practices, and the development of a standard open licensing policy for automated processing of NTI at the level of the State Public Scientific and Technical Library of Russia are advisable.

Introduction. The problem of improving the system of interstate exchange of STI of the CIS member states in accordance with the implementation of the documents adopted within the framework of the CIS requires constant search and development of proposals to improve the effectiveness of international cooperation.

Purpose: The study aims to develop the theoretical and methodological foundations and format of an open information resource — a document and abstract database designed for the system of international exchange of scientific and technical information of the CIS member states. Particular attention is paid to the formation of a two-component structure of the resource, combining publications in the fields of natural, exact, and technical sciences, as well as strategic sectors of the economy.

Methods. The study is based on a systems approach. Methods were used: content analysis of strategic documents of the CIS and the Russian Federation, a comparative analysis of international practices (CORDIS, OECD iLibrary, BRICS STI), as well as methods for classifying and grouping information arrays. An analysis of the needs of state corporations and large Russian companies for analytical information was conducted, and scientific and industry classifiers VINITI RAS, OKVED, classifiers of Rosatom and Gazprom) were compared.

Results. A theoretical and methodological approach to database development has been developed, including a two-way search mechanism: by scientific topic and by industry queries. A proposal for the format of the “Document and Abstract Database” section for inclusion on the CIS portal has been formulated. Pilot industry areas (nuclear and oil and gas industries) and the resource structure (navigation, bibliographic, and service sections) have been identified. Options for collaboration with state corporations to create joint analytical products have been proposed.

Conclusion. The creation of the proposed information resource will increase the intensity of interstate STI exchange, provide visualization of points of technological growth and cooperation between CIS countries, and will also contribute to strengthening industry technological sovereignty. The resulting methodology can be adapted for other international associations, including BRICS.