Research on Big Data Governance for Science and Technology Forecast

• Published in: Ji suan ji ke xue Vol. 48; no. 9; pp. 36 - 42
• Main Author: WANG Jun, WANG Xiu-lai, PANG Wei, ZHAO Hong-fei
• Format: Journal Article
• Language: Chinese
• Published: Editorial office of Computer Science 01.09.2021
• Subjects: big data|big data governance|forward looking forecast|system research|lda model|data cleaning
• ISSN: 1002-137X
• DOI: 10.11896/jsjkx.210500207

From imitation to innovation,from following to leading,is not only a major change in the development of science and technology in China at this stage,but also a major strategic demand for national development.In recent years,relevant scholars at home and abroad have carried out the research of science and technology development trend analysis and hot spot tracking,but due to the lack of systematic big data collection and governance system,the scope of data analysis and mining is often limited to the single data sample of science and technology literature.Aiming at the goal of forward-looking prediction of science and technology development,this paper comprehensively analyzes the massive heterogeneous data that affect the development process of science and technology,such as all kinds of scientific and technological literature,scholar dynamics,forum hot spots and social comments.By building a data-driven big data governance system,this paper solves the data remediation problems in the process of detection and