This article examines the specifics of customs control over counterfeit goods by the Federal Customs Service (FCS) in the Russian Federation and the Eurasian Economic Union (EAEU) member states in the context of digitalization and the growth of e-commerce. The article aims to comprehensively analyze the specifics of customs control, analyze the causes of persistent counterfeit violations, and provide recommendations for improving anti-counterfeiting mechanisms. To this end, the article examines the characteristics of counterfeit goods, gray market goods, replicas, counterfeits, and border verbal designations, as well as counterfeit sales volumes. It also analyzes statistical data on the scale of illegal trafficking and its economic consequences for the state and bona fide market participants in Russia, the EAEU, and a number of foreign jurisdictions. A comparative analysis of customs control in China, the United States, and the European Union (EU) is also conducted. Particular attention is paid to the factors contributing to the spread of illegal products (the development of e-commerce, the liberalization of foreign trade, weak interaction between customs authorities and copyright holders and related agencies, the passivity of copyright holders in protecting their rights, including with regard to the inclusion of intellectual property (IPO) in the customs register, and a decline in the level of protection of IPO owners’ rights in law enforcement practice). The application of the “ex  officio” principle in various countries and the problems of Russia’s membership in the World Trade Organization (WTO) are examined. The scientific novelty of the article lies in its comprehensive study of customs control and the proposed measures to combat counterfeiting (the transition to a proactive customs control model, the introduction of artificial intelligence, contactless inspection technologies, digital and security markings, the inclusion of IPO in customs registers, and the use of traceability systems). The theoretical and practical significance of the study lies in the possibility of its use in improving the regulatory framework for customs control, the formation of departmental methods, and the development of national and supranational strategies to combat counterfeiting.

The development of an innovative economy is impossible without ensuring a systematic approach to intellectual property management. In this regard, centralization of intellectual property management, strategic planning of intellectual property development and flexible mechanisms for regulating relevant public relations are of particular importance, which in the article are considered as key conditions for the technological leadership of the state. The purpose of the article is to substantiate proposals for improving the intellectual property management system based on an analysis of key issues of its functioning. The research is based on a doctrinal, historical, and comparative legal analysis of regulations, strategic documents, and intellectual property management practices. It is shown that the creation of a single governing body and the adoption of a strategic document can ensure the integrity of state policy in the field of intellectual property. The increasing role of the Eurasian Patent Organization in the intellectual property management system and the importance of manuals as a tool for flexible regulatory regulation are substantiated. The novelty of the research lies in the systematic substantiation of the intellectual property management model integrating the national and regional levels, where the key operating conditions are the centralization of the public administration system and the adoption of a strategic document that assigns special regulatory importance to guidelines. The conclusions and suggestions obtained can be used to improve the system of state management of intellectual property and regional mechanisms for the protection of industrial property. Further research is related to evaluating the effectiveness of the proposed intellectual property management model and its adaptation in the states of the Eurasian region.

The article examines the concept of intellectual sovereignty as a new paradigm for state development. It substantiates the need to move from simplified quantitative metrics to a comprehensive assessment system that includes key qualitative parameters: the technological significance of developments, their commercial value, the potential for technology transfer, and the level of intellectual property protection. The study addresses the challenge of developing a methodology for constructing an innovation patent index – a tool that allows for objectively tracking the dynamics of a country’s movement toward intellectual sovereignty. The mathematical expressions for calculating the indicators were substantiated on the basis of expert methods and analysis of statistical data on the number of registered patents, the terms of maintaining patents in force, and the number of cases of exercising exclusive rights to inventions and industrial designs. The methodology for constructing the innovation patent index was based on the following principles: measurability, reliability, adaptability, and compliance with modern scientific approaches. The method proposed by the authors for calculating the innovation patent index contains fundamentally new solutions that make it possible to quantitatively assess the potential for the development and protection of intellectual property in selected areas from the point of view of patent law.

The article examines the transformation of IP management in R&D projects within a large industrial company amid digital transformation and the rapid growth of scientific and technical information. The aim of the study is to show how the integration of patent analytics, language models, and expert verification against primary sources changes the role of the IP function from a controlling unit to a proactive participant in technological and business decision-making. The research materials include corporate practices of IP support for R&D projects, results of patent information studies, industry and academic publications, and internal cases related to search and analytical tasks. The methods combine a case-study approach, structural and functional analysis of IP support processes, expert interviews with developers, and a comparative applied assessment of digital tools using operational criteria such as the quality of information structuring, the speed of primary analytics, reproducibility of results, and verification requirements. The scientific novelty lies in describing an end-to-end scenario for using language models in IP support for R&D, from data aggregation and initial semantic interpretation to the generation of analytical hypotheses and mandatory validation of findings against patents and scientific publications. The findings show that systematic use of these tools accelerates analytical cycles, improves problem framing, enables earlier identification of legal and commercial risks, and expands the contribution of IP managers to project IP strategy. The article may be useful for IP managers, R&D executives, technology experts, patent analysts, and corporate innovation teams.

In the era of state digital transformation, data has become a strategic resource that determines the efficiency of public administration, the quality of public services, and the level of public trust. The aim of this study is to analyze the factors affecting data quality in the field of intellectual property and to examine management methods that ensure information aligns with user needs and the objectives of digital government. The research methodology includes an analytical review of regulatory documents and academic literature, classification of data quality indicators systems analysis of the data lifecycle, and description of practical mechanisms for audit and monitoring. The study proposes a classification of quality criteria and their alignment with user stories, identifies risks that undermine data quality, and suggests appropriate management measures. The scientific novelty of the study lies in the development of a methodological framework for systemic data quality management in the field of intellectual property. The practical significance consists in shaping an approach to building a data quality management system oriented toward user needs and national digitalization goals. The study concludes that a comprehensive approach integrating regulatory, organizational, and technological measures is required, and further research could involve empirical testing of the proposed solutions using existing processes in the field of intellectual property.

In the context of global technological competition, the problem of effective management of patent and scientific-technical information at the stages of creating high-tech products is becoming critically important. Despite the availability of significant information resources and developed management systems, there is currently no holistic model that determines what specific types of information and for solving which tasks are required at each stage of the life cycle. This leads to fragmented information support, duplication of efforts, and reduced process efficiency. To address this problem, the structure of the life cycle has been detailed, and six key stages where information use becomes a significant factor have been identified. By studying the practices of Russian companies, specific information needs at each stage have been identified. The types and tasks of applying patent and scientific-technical information have been systematized. A classification of scientific-technical information by purpose and content has been proposed, within which five classes are distinguished. A significance matrix has been developed, which clearly demonstrates the dynamics of demand for each information class – from market-conjunctural and patent information at the research stages to normative-technical and production-technological information at the production and operation stages. The results form a methodological basis for transitioning from disparate document management to building endto-end, process-oriented knowledge management systems capable of significantly improving the validity of decisions, optimizing resources, and strengthening competitive positions in the creation of science-intensive products.

This study is relevant due to the growing role of the All-Russian Patent and Technical Library (VPTB) attributable to Russia’s pursuit of technological sovereignty and increase of competitiveness of domestic technologies. As the largest patent information center and national repository of the State Patent Collection (SPF), VPTB provides access to data necessary for analyzing technological trends, conducting patent searches, and making decisions in the field of intellectual property. In the context of past and ongoing socio-economic processes, the library’s activities and their impact on achieving scientific and technological priorities are analyzed. The purpose of the study is to analyze the historical experience of VPTB by replenishing facts and events related to its activities, identifying previously unstudied regulations, and assessing their impact on the library’s development. The conclusions reflect the evolution of inventive and scientific and technical activity in the country in the history of VPTB, the changing role of patent information over different periods, the contents of the library’s collections, and the phenomenon of VPTB. The article can serve as a basis for discussing the modernization of the role of libraries and information centers with patent collections in the modern innovation ecosystem.

The purpose of this article is to comprehensively analyse the current landscape of small and mediumsized enterprises in Russia, with a special focus on their quantitative and qualitative characteristics of innovation activity. The paper examines key indicators of the SME sector’s development, including the number of entities, their turnover and contribution to GDP, registration dynamics, distribution across industries and regions, as well as metrics of patenting and application activity.