Quality evaluation of government epidemic data openness based on cloud model and PSR theory
Authors: 
Liu Yang, Jian Wang, Zebin ZhaoAuthors Info & Claims
Pages 7 - 14
Abstract
Government data opening has become one of the key measures of government emergency management in the big data era. Investigating deeply the quality of government data opening under public health emergencies can help grasp the current situation and provide experience for future work. This paper evaluates the 31 regional health commissions’ epidemic data openness using a framework based on PSR theory in China, and the cloud model was used to evaluate the quality of government data opening at the national and regional levels. The comprehensive evaluation level of government data openness under the epidemic situation in China was ordinary level and the level of data openness varies greatly among regions. Data state is the main factor restricting the level of data openness.
References
[1]
Song Yingfa, Ji Jiangxia. (2021)Value generation model of open data in government emergency management: a qualitative comparison based on the websites of 31 provincial health departments. Journal of Beijing Institute of Governance. (03):15-24.
[2]
Ma Hai-qun, Zhang Tao, LI Zhong-jun. (2020)Research on system dynamics of government data openness and security under COVID-19.Modern information.40(07):3-13.
[3]
Zhu Xiaofeng, Sheng Tianqi, Cheng Lin. ( 2021) Research on the evaluation framework and effectiveness of government data opening Platform from the perspective of service engagement [J]. E-government. (10):2-14.
[4]
Cristina Renedo Farpón, María Díez-Garrido.(2020)The institutional and media transparency of the coronavirus. An analysis of data portals and digital media in Ibero-America. Revista Latina de Comunicacion Social.78(78):393-418.
[5]
Fudan University Digital and Mobile Governance Laboratory. Research Report on the Release of COVID-19 Data by Provincial Governments in China [EB/OL] (2020-03-18).
[6]
Xiang Yafan, Ma Xubu, Qin Chunxiu, Liu Wei, Zhao Bingwei. (2020)Evaluation of local government data openness in public health emergencies: Based on novel Coronavirus Outbreak. Information Theory and Practice.V.43; No.320(09):83-90.
[7]
Jiang Wei. (2020)The impact of a large-scale outbreak on economic development: From the perspective of public concern and media concern. Economic and management research.41(10):21-41.
[8]
Zhang F R.(2021)Realization path of university emergency management modernization from the perspective of PSR theory: Based on the practice of COVID-19 outbreak resumption in Tianjin Normal University in 2020.Gansu Education Research. (03):124-128.
[9]
Guo Baosheng, Ji Hongying.(2020) Evolution and governance strategies of online public opinion crisis in the major epidemic. Information science.38(06):103-109+138.
[10]
Liu H L, JIA H W, Wang Yan, Liu Bin, Yao Jie, Yan Xuanchen. (2020)Estimation and evaluation of the initial spread scale of COVID-19 by system dynamics model: A case study of Gansu Province. Journal of the university of electronic science and technology of China (social science edition).22(03):36-45.
[11]
Weng S H, Lin C H, Zokran Kugeometti. (2020)Quality assessment of government data openness in emergencies: An empirical analysis of novel Coronavirus outbreak in China. E-government.(05):2-13.
[12]
Lin Ping, He Siqi, Duan Yaoqing. (2020)Data and user perspective open government data service level evaluation research. Journal of library intelligence.((02) : 23-29.
[13]
Shao Y Z, Zhu J D.(2013)Research on the Internationalization trend of government websites. E-government.(03):98-103.
[14]
Wang W L.(2019)Accelerating the implementation of digital government strategy: Realistic dilemma and solutions. E-government.(12):86-94.
[15]
Cao H J, Li M.(2020)Service quality evaluation of Chinese government data open platform: an empirical analysis based on entropy weight TOPSIS. Journal of Shanghai institute of administration.21(04):55-64.
[16]
Si L B, Pei S Y.(2021)Evaluation and optimization of government environmental data opening and utilization level in key regions of national ecological governance: Based on the analysis of government data opening platform in Beijing-Tianjin-Hebei, Yangtze River Delta, Pearl River Delta, and Fenhe River Plain. Library and Information Service.65(05):49-60.
[17]
Feng Yuan, Nie Changfei. (2020)Research on combination evaluation of government service capability of government Portal website. Information science.38(08):153-158.
[18]
Gao Y P, LU W Y, Wang L L, CAI L Z.(2019)Cloud Model parameter estimation based on Bayesian theory. Statistics and Decision. V. 35; No.522(06):5-8.
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Published In
August 2022
457 pages
ISBN:9781450396721
DOI:10.1145/3564858
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Published: 08 December 2022
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IMMS 2022
IMMS 2022: 2022 the 5th International Conference on Information Management and Management Science
August 26 - 28, 2022
Chengdu, China
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