Графенто 1: Графический язык правовой аналитики: Учебное пособие
The article investigates the representation of analytical media content through the use of digital computer and online databases (the so-called data journalism, journalism of "big data", or journalism of metadata, as it is defined in the study). The author reveals the unique features of data journalism as a phenomenon and a process and proves that this format of convergent content represents the opportunities of synergy of formal, logical and associative presentation of information in an interactive online format and appears to be a synthesis of the three types of classical journalistic genres. Online data journalism determines fundamentally new opportunities for the strategic development of media content characteristics and functions of modern journalism as an element of open public governance and the development of science about media (medialogy).
In this study, we aim to discover Russian “centers of excellence” and explore patterns of their collaboration with each other and with foreign partners. Highly cited papers serve as a proxy for “excellence” and co-authored papers as a measure of collaborative efforts. We find that at the moment research institutes (of the Russian Academy of Sciences as well as others) remain the key players, in spite of recent government initiatives to stimulate university science. The contribution of commercial sector to high-impact research is negligible. More than 90% of Russian highly cited papers involve international collaboration, Russian institutions often not playing a dominant role there. Patterns of national (“intra-national”) collaboration differ significantly across different types of organizations, the strongest ties are between three nuclear/particle physics centers. We draw a co-authorship map to visualize collaboration between Russian centers of excellence.