Research on Improving the Management Mode of Scientific Research in Colleges and Universities Under the Background of Big Data
Lin Li, Binbin Yu
Available Online 6 April 2020.
- https://doi.org/10.2991/aebmr.k.200402.021How to use a DOI?
- big data, scientific research management, operation mechanism
- In recent years, the concept and technology of big data has attracted the attention of industry, academia and government departments. As an important base of scientific research and innovation in China, the level of scientific research management has a great impact on the development of university innovation. At present, there are many problems in the management of scientific research in Colleges and universities in China, such as large and complex amount of scientific research data, lack of data support in scientific research evaluation and decision-making, and unreasonable allocation of scientific research resources. As scientific research management is an important part of the development of colleges and universities and is increasingly affected by big data technology, how to further improve the scientific research management mode and optimize the operation mechanism of scientific research management under the background of big data becomes more and more important. This paper briefly expounds the concept of big data and the traditional problems of scientific research management in Colleges and universities, and puts forward some suggestions to improve the scientific research management mode and operation mechanism in Colleges and Universities under the background of big data.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Lin Li AU - Binbin Yu PY - 2020 DA - 2020/04/06 TI - Research on Improving the Management Mode of Scientific Research in Colleges and Universities Under the Background of Big Data BT - Proceedings of the 3rd International Conference on Advances in Management Science and Engineering (IC-AMSE 2020) PB - Atlantis Press SP - 112 EP - 116 SN - 2352-5428 UR - https://doi.org/10.2991/aebmr.k.200402.021 DO - https://doi.org/10.2991/aebmr.k.200402.021 ID - Li2020 ER -