On the Innovation of Refined Scientific Research Management in Application-Oriented Universities in the Context of Big Data
Authors
Xingqiang Wu1, *, Li Wang1
1College of Electronic Information Engineering, Han Kou University, Wuhan, Hubei, China
*Corresponding author.
Email: 4501153@qq.com
Corresponding Author
Xingqiang Wu
Available Online 26 July 2023.
- DOI
- 10.2991/978-94-6463-200-2_138How to use a DOI?
- Keywords
- big data; application-oriented universities; scientific research management
- Abstract
With development over the past few years, application-oriented universities have achieved a preliminary improvement in innovation with entrepreneurial characteristics, and have set relatively systematic goals for the management of scientific research. Given the current era of big data, application-oriented universities must keep pace with the times and achieve refined management of scientific research work through data mining, data analysis, and other means, based on their status quo of scientific research management and big data.
- 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 - Xingqiang Wu AU - Li Wang PY - 2023 DA - 2023/07/26 TI - On the Innovation of Refined Scientific Research Management in Application-Oriented Universities in the Context of Big Data BT - Proceedings of the 2023 3rd International Conference on Public Management and Intelligent Society (PMIS 2023) PB - Atlantis Press SP - 1296 EP - 1303 SN - 2589-4919 UR - https://doi.org/10.2991/978-94-6463-200-2_138 DO - 10.2991/978-94-6463-200-2_138 ID - Wu2023 ER -