Abstract: ［Purpose/Significance］This paper aims to analyze the core characteristics of data science education from the perspective of library and information science. It is helpful for the integration of library and information science into data science, while maintaining its own core advantages. Moreover, it could showcase the features of the subject and its talent cultivation.
［Design/Methodology］Through inductive analysis, the disciplinary connotations of data science and its correlativity with libraryand information science were condensed. Moreover, the current status and core features of data science education in the field of library and information science all over the world were summarized.［Findings/Conclusion］Although data science and the subject of library and information science are two distinct fields, there is an obvious blending trend between them. The subject of library and information science has become the backbone force of data science education worldwide. From the standpoint of library and information science, "human-centered" is the core feature of data science education, which could lay a foundation for making data science talents familiar with innovative technical methods and minded with great humanistic care.［Originality/Value］The core features and superiority of data science education are systematically summarized from the perspective of library and information science in order to provide a reference for library and information science to keep its own strengths, perfect the data science education system, and improve talent cultivating effectiveness in the integration of library and information science into data science.

Key words: Data science, Data science education, Human-centered, Library and information science, Disciplinary prospect, Talent cultivation, Disciplinary cross-fertilization and integration