Abstract
The aim of this paper is to introduce the development of data science in higher education in China, including the policy and educational programs at various levels. We investigated the data science education of five LIS (Library and Information Studies) schools in China, using Fudan University’s Data Management and Application Master’s Program as an example for more specific information about the curriculum structure, course focus and teaching methods in data science education. The paper further describes the action of promoting data science and data science education in the field of LIS by the China Academic Library Research Data Management Implementation Group.
Highlights
The era of big data has arrived with enormous challenges to every aspect of society
We investigated the data science education of five LIS (Library and Information Studies) schools in China, using Fudan University’s Data Management and Application Master’s Program as an example for more specific information about the curriculum structure, course focus and teaching methods in data science education
As the disciplines that educate people who are capable of addressing big data challenges, data science and data science education have attracted intense attention from a wide range of domains and disciplines (Song & Zhu, 2016), The current paper aims to depict the state of data science education in China, especially from the LIS perspective
Summary
The era of big data has arrived with enormous challenges to every aspect of society. From science to education, healthcare, government, and commerce, the future of every sector is linked to the relatively new term “data science.” People with specialized data skills are in urgent demand everywhere and a shortage of data talent appears in many countries (Manyika et al, 2011; Department for Business, Innovation & Skills, 2013; Liu & Jia, 2015). Research Methods and Dissertation Preparation Development of Information Resources, Library Management, Information Service and User Research, Information Organization and Retrieval, Digital Library, Research and Implementation of Data Curation, Information Analysis and Visualization, The Frontier and Dynamics of LIS Such as second language, Academic Writing in English. The Research and Application of Data Curation course is designed to introduce research data management, and, from the data curation point of view, to provide students with knowledge and skills in data selection and evaluation, data ingestion, long-term data preservation and data access and dissemination This course gives students a broad view of the background of research data management, the history of the development of data curation, the modules and tools of data curation, as well as national and international practices. The objective of the information analysis and visualization course is to foster students’ abilities in data mining, data analysis and data visualization, with the help of computer tools including MS Excel, SPSS, R, Python, Tableau and Citespace
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
