Research on Scientific Research Information Management System Under the Background of Big Data
- DOI
- 10.2991/978-94-6463-044-2_93How to use a DOI?
- Keywords
- Big data; Scientific research management; IT in education
- Abstract
With the rapid development of cloud computing and big data technology, information technology has had a huge impact on the field of education, and scientific research management driven by big data has become a new topic in the development of modern education. Scientific research activities will generate massive data, and how to collect, process, analyze and use the massive data has become an important goal of scientific research managers. This paper focuses on the four stages of scientific research projects, based on data mining, calculation and analysis technologies such as semantic analysis, web crawler and decision support, to demonstrate the availability and efficiency of key technologies in the process of scientific research management, and promote the use of modern information technology in scientific research management. The application in the education system promotes the scientific development of the modern education system.
- Copyright
- © 2022 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 - Zhengqian Feng AU - Wang Li AU - Ning Dang AU - Xikai Ding AU - Zhongwei Chen PY - 2022 DA - 2022/12/27 TI - Research on Scientific Research Information Management System Under the Background of Big Data BT - Proceedings of the 2022 3rd International Conference on Modern Education and Information Management (ICMEIM 2022) PB - Atlantis Press SP - 740 EP - 746 SN - 2667-128X UR - https://doi.org/10.2991/978-94-6463-044-2_93 DO - 10.2991/978-94-6463-044-2_93 ID - Feng2022 ER -