Big data is the basic material for forming a scientific decision-making system. The application of "data decision-making" in the actual scientific research management process can avoid duplication of work and decision-making deviation in the process of title review, data archiving, and project establishment, etc., and can effectively improve decision-making efficiency. Scientificity and fairness have invisible effects on creating a benign scientific research ecology and academic environment. In the context of big data application, a knowledge rule base will be formed based on data decision-making, review of the content of section declarations, members, etc., to promote the construction of an online evaluation system, improve the decision-making and application capabilities of data collaborative management of various departments, strengthen the early warning function of funding execution, and strengthen scientific research. The sharing and supervision of achievement information is an effective way for scientific research management and risk prevention and control.

Yang Lei. Research on scientific research management mechanism based on data decision. The Frontiers of Society, Science and Technology (2022) Vol. 4, Issue 1: 29-33. https://doi.org/10.25236/FSST.2022.040106.

[1] Zhao Yang, Yang Lei, etc. Research on risk prevention and control of scientific research integrity in colleges and universities based on PDCA cycle: Taking the management of university-level scientific research funds of Yunnan Open University as an example. Yunnan Science and Technology Management. 2020 (4).

[2] Jiang Wei, Sun Tiemin, etc. Risk prevention and control of the management of major national science and technology projects: Taking the construction of a clean government in colleges and universities under the "delegation, regulation and service" as an example. Science and Technology Management in Chinese Colleges and Universities. 2020 (10).

[3] Xu Zhengyong, Hu Qi, et al. Analysis on the prevention and countermeasures of risk points of clean government in science and technology management under the background of "delegating power, delegating power and improving services". Anhui Science and Technology. 2021(8).

[4] Liu Bing. Thinking about the current situation of scientific research project management in local universities under the background of "delegating power, delegating power and improving services". Science and Technology and Innovation. 2021 (7).

[5] Wang Haini. Internal control and management strategies of scientific research funds in colleges and universities under the background of "delegating power, delegating power and improving services". Science and Technology Management in Chinese Colleges and Universities. 2020(12).

[6] Yan Jingkun. Research and development of scientific research project management system based on data mining technology [J]. Electronic Technology and Software Engineering, 2019(17).

[7] Zhou Sheng. Give full play to the role of "big data" in scientific research management in colleges and universities [J]. Science and Technology in Chinese Universities, 2017, 000(012):89-91.

[8] Li Ying. Research on the construction of scientific research management service platform based on cloud environment [J]. Computer Measurement and Control, 2019(8).

[9] Chen Xiaoming, Jiang Xiaohong, Zhong Zhaoming. Design of scientific research management information system based on WeChat public platform [J]. Modern Information Technology, 2019, 3(04):81-83.