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This pocket data book contains main S&T and innovation indicators for the Russian Federation. The publication includes the most recent statistical data on R&D input and output, as well as international comparisons. The data book includes information of the Russian Federal State Statistics Service, Ministry of Science and Higher Education of the Russian Federation, Russian Federal Service for Intellectual Property (Rospatent), Organisation for Economic Co-operation and Development (OECD), European Statistical Office (Eurostat), UNESCO, World Intellectual Property Organisation (WIPO), national statistical offices of other countries, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge. In some cases, 2019 data are preliminary.

The pocket data book contains main indicators characterizing S&T, innovation and Information Society in the Russian Federation. The data book includes information of the Federal State Statistics Service, Federal Service for Intellectual Property, Organisation for Economic Co-operation and Development (OECD), Eurostat, UNESCO, World Intellectual Property Organisation, national statistical services of foreign countries, and results of own methodological and analytical studies of the HSE Institute for Statistical Studies and Economics of Knowledge. In some cases, the presented data specify those published earlier.

The development of Russian science in the last decade is characterized by very contradictory trends. Their understanding deserves special attention in the justification of the measures of state science and technology policies and their implementation. It is sufficient to say that despite the significant increase in domestic expenditure on research and development, the volume of which in terms of fixed prices for the period 1995-2005 increased by 83.3%, while the employment in this sector decreased by 23.4%. and the effectiveness of scientific activity is also steadily decreasing, that is expressed by a wide range of indicators of publication and patent activity, the creation and commercialization of technologies, etc. This article presents an analysis of bibliometric indicators allowing to assess progress and quality of activities, primarily in the basic sciences, by study size, structure and dynamics of the created scientific knowledge. Note: Downloadable document is in Russian.

The term “pattern” refers to a combination of values of some features such that objects with these feature values significantly differ from other objects. This concept is a useful tool for the analysis of behavior of objects in both statics and dynamics. If the panel data describing the functioning of objects in time is available, we can analyze pattern changing behavior of the objects and identify either well adapted to the environment objects or objects with unusual and alarming behavior.In this paper we apply static and dynamic pattern analysis to the analysis of innovative development of the Russian regions in the long run and obtain a classification of regions by the similarity of the internal structure of these indicators and groups of regions carrying out similar strategies.