Development of a Data Literacy Education System for the New Generation of Librarians Based on the Mutation of Progression
Authors
Hui Liu1, *, Na Kang2
1Information Management, Jianghan University, Wuhan, Hubei, China
2Bioinformatics, Jianghan University, Wuhan, Hubei, China
*Corresponding author.
Email: 1743915381@qq.com
Corresponding Author
Hui Liu
Available Online 12 December 2022.
- DOI
- 10.2991/978-94-6463-024-4_55How to use a DOI?
- Keywords
- Structural Crisis of talent; University Library; New generation Librarian; Data literacy education
- Abstract
As an important carrier of data literacy education, the university library is faced up with the big data age, from the university library talent structural crisis to the appearance of the new generation of librarians. This paper puts forward the concept of the new generation of librarians and analyses the present situation of the data literacy education among the new generation of librarians in university libraries. This paper also introduces the way to cultivate data literacy of the new generation of librarians and shows the important role that the new generation of librarians play in the data literacy education.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Hui Liu AU - Na Kang PY - 2022 DA - 2022/12/12 TI - Development of a Data Literacy Education System for the New Generation of Librarians Based on the Mutation of Progression BT - Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022) PB - Atlantis Press SP - 523 EP - 532 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-024-4_55 DO - 10.2991/978-94-6463-024-4_55 ID - Liu2022 ER -