| Аннотацiя: |
This article is a continuation of the discussion on the existing meanings and formalization of the definition of “Data Science” as an autonomous discipline, field of knowledge, clarification of its defining components, integration, and interac-tion processes between them. It is noted that most scientific results trace the data-centric nature of the presentation and analysis of this discipline, i.e. the emphasis on the word Data. Analysis of the frequency of use of key terms in the definitions of Data Science shows what our colleagues focus on, which terms of the definitions of Data Science they are based on. In this paper, we make and argue certain additions to Drew Conway’s Data Science Venn Diagram, which does not reflect all the re-sources of the components that define the applied side of Data Science, and, more-over, does not reveal the interaction of these resources not from the point of view of the data researcher, nor in its global understanding. |
