A Study of Status and Trends of Data Science Discipline Based on SCOPUS
CAO Ruixue
MA Yinghong
LI Haiyang
YU Qinglin
Abstract：Daily life of the modern society more and more relies on data,from GPS positioning to online shopping. Therefore, exploration and understanding of data usage become an important research topic. As a disciplines centered on analyzing data,data science has received more attention from the scientific and technological communities. In the meantime,exploring the growing pat?terns of data science will provide more insights and guidance for the development of the discipline and its future growths. Based on searching results of data science publications in SCOPUS database,bibliometric methods are used to analyze publication outputs, countries of origins of publications,author institutions. Utilizing statistical methods and techniques,and deploying R language and SAS software,a variety of research on the distribution and the development of data science related publications are conducted. The study reveals the statuses and the developing trends of data science,and thus provides in-depth information for the future develop?ment of data science and big data.
Keywords：data sciencebibliometricstrenddata correlationforecastingclustering
Publication Date：2019-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：7( 737-742,755 )