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An analysis of Data Science Study in the field of Editing and Publishing Science in China (2008-2018)

In this paper, we explored the research status, hotspots, development contexts and trends of Data Science study in the field of editing and publishing in China. In our study, we selected 441 Data Science articles which published in 15 journals of editing and publishing science from 2008 to 2018 in CNKI database. By using Citespace, a bibliometric and visualization software, we analyzed the characteristics of publications, authors and research institutions in this field, plot the knowledge graph of data science study in the field of editing and publishing. According to the analysis, we found Data Science study in the field of editing and publishing has a clear development path in China, and most of the research findings would be divided into three aspects: a) research on data storage and mining; b) research on the application of Big Data in publishing Industry; c) research on collaborative development of data science technology and digital publishing. Although the Data Science method has been applied to solve scientific research problems and guide social production in the field of editing and publishing, the core researcher group is still weak and the study is in the stage of developing. It's going to be the focus of future research that the application of new data science method, such as Artificial Intelligence, to new production and profit model in publishing industry.