Research on Improving the Management Mode of Scientific Research in Colleges and Universities Under the Background of Big Data

DOI

10.2991/aebmr.k.200402.021How to use a DOI?

Keywords

big data, scientific research management, operation mechanism

Abstract

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.

Copyright

© 2020, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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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  - 10.2991/aebmr.k.200402.021
ID  - Li2020
ER  -