Academic Journal of Computing & Information Science, 2021, 4(8); doi: 10.25236/AJCIS.2021.040818.
Tianyi Ma1, Siyi Chen2
1School of Natural Sciences, University of Manchester, Manchester, M139PL, UK
2School of Social Sciences, University of Manchester, Manchester, M139PL, UK
The government affairs system based on big data technology is an advanced stage in the development of e-government. In this stage, with the help of big data platforms in the information age, through the large-scale use of modern communication equipment and the Internet, a new government management mode and management thinking are created, and then through the above way to promote information sharing. The connotation of intelligent government is information sharing, reducing government departments' office threshold to achieve information transparency and openness. Based on the above background problems, this paper analyzes the current government information management problems and the lack of resources sharing, and the problems existing in the concept of government personnel. On this basis, the current government system is analyzed. The feasibility and demand analysis of the current government system is put forward from engineering thinking to pave the way for designing the next GDRSAS(government data resource sharing application system). Finally, the design and construction of the GDRSAS are carried out, and in-depth analysis is carried out. The system can make more reasonable sharing application of government resources information under significant data background.
Big data; Government data; Resource Sharing Application System
Tianyi Ma, Siyi Chen. Government Data Resource Sharing Application System Based on Big Data Technology. Academic Journal of Computing & Information Science (2021), Vol. 4, Issue 8: 96-101. https://doi.org/10.25236/AJCIS.2021.040818.
 J. L. Aron and B. Niemann, "Sharing best practices for the implementation of Big Data applications in government and science communities," 2014 IEEE International Conference on Big Data (Big Data), Washington, DC, USA, 2014, pp. 8-10.
 P. Thamjaroenporn and T. Achalakul, "Big Data Analytics Framework for Digital Government," 2020 1st International Conference on Big Data Analytics and Practices (IBDAP), Bangkok, Thailand, 2020, pp. 1-6.
 P. Yang, H. Xia, W. Liu, and Z. Li, "Research on Government Integrity Evaluation Based on Big Data," 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD), Chengdu, China, 2019, pp. 28-35.
 Q. Wang and Y. Jiang, "GIS cloud computing-based government Big Data analysis platform," 2021 IEEE 2nd International Conference on Big Data, Artificial Intelligence and Internet of Things Engineering (ICBAIE), Nanchang, China, 2021, pp. 252-255.
 D. Zhou, M. Zhu, S. Wu, and Y. Zhong, "Application Research of VCR Model Based on AHP in the Design of Government Service Big Data Scenario," 2019 2nd International Conference on Artificial Intelligence and Big Data (ICAIBD), Chengdu, China, 2019, pp. 66-73.
 S. Ying, "Research on government affairs publicity of provincial government websites in the big data environment," 2021 International Conference on Public Management and Intelligent Society (PMIS), Shanghai, China, 2021, pp. 6-11.
 Y. Charalabidis, M. Janssen and H. Krcmar, "Introduction to the Big, Open, and Linked Data (BOLD), Analytics, and Interoperability Infrastructures in Government Minitrack," 2015 48th Hawaii International Conference on System Sciences, Kauai, HI, USA, 2015, pp. 2074-2074.
 R. C. Joseph and N. A. Johnson, "Big Data and Transformational Government," in IT Professional, vol. 15, no. 6, pp. 43-48, Nov.-Dec. 2013.