开放数据在电子政务、电子商务和图书情报领域的应用研究

Abstract

Abstract:

With the arrival of the big data era, open access to data is becoming more and more important. This paper first introduces the generation of open data, extremely its connotation, then introduces the practice of open data in E-government, E-commerce and Library and Information science. Through summarizing practical experience, it hopes to provide reference for the future development of open data.

Key words: Open data, 　E-government, 　E-commerce, 　Library and Information Science

CLC Number:

Chen Yaping. Open Data in E-government, E-commerce and Library and Information Science[J]. Journal of Information Resources Management, 2013, 3(3): 80-85.

[1]	Wang Di　Hu Jiangfeng　Zhang Rui　Zhou Lihong. A Comparative Study of Chinese Citizens’ Open Government Data Utilization: Facing the 14th Five-Year Plan [J]. Journal of Information Resources Management, 2024, 14(1): 98-107,封3.
[2]	Xiao Peng　Zheng Weinan. Where Do the Best Minds Assemble: The Employment Mobility of the First Generation of LIS Professionals of the People’s Republic of China [J]. Journal of Information Resources Management, 2023, 13(4): 22-34.
[3]	Sun Jianjun　Pei Lei　Fu Shaoxiong. To be Eclectic: Discussion on the Data Management in the Context of the Discipline Construction of Information Resource Management [J]. Journal of Information Resources Management, 2023, 13(1): 9-17.
[4]	Chen Yuanyuan　Wang Dan. Analysis and Enlightenment of the Development of European Rural Open Data [J]. Journal of Information Resources Management, 2021, 11(4): 80-89.
[5]	Long Yixuan　Zhao Kunhua　Wang Shenglan　Liu Xiwen. From Open Access to Open Science: Choices and Challenges of Research Funding Institutions [J]. Journal of Information Resources Management, 2021, 11(4): 70-79.
[6]	Zhang Chunjing　Xia Cuijuan. Research on the Value Contribution of Open Data Contest in the Development and Utilization of Red Cultural Information Resources——Taking Shanghai Library Open Data Contest as an Example [J]. Journal of Information Resources Management, 2021, 11(4): 25-32.
[7]	Chen Ling　Duan Yaoqing　Qian Wenhai. Coupling and Coordination Research of Government Open Data Utilization Behavior based on the Variation Coefficient Method [J]. Journal of Information Resources Management, 2021, 11(2): 109-118.
[8]	Wang Zhijin　Chen Qianying　Han Feng　Wu Dongying　Li Qiaoying　Li Yuanfang. The Progress and Trends of Open Data Research in China(1996-2019) [J]. Journal of Information Resources Management, 2020, 10(6): 47-59.
[9]	Shen Chao　 Liu Shiwei　Xu Tao. Research on Consumer Online Shopping Comment Behavior Under Merchants’Inductive Comments [J]. Journal of Information Resources Management, 2020, 10(3): 92-101.
[10]	Chen Chuanfu Li Qiushi. Open Access to Data Makes Science Benefit More Individuals——Progress and Prospect of Open Science and Open Access to Scientific Data in China [J]. Journal of Information Resources Management, 2020, 10(1): 4-.
[11]	Xia Yikun. International Experiences and Implications on Government Data Governance [J]. Journal of Information Resources Management, 2018, 8(3): 64-72，101.
[12]	Meng Jian　Jiang Yan. Decomposition and Optimization of O2O E-commerce Service Process Based on User Motivation [J]. Journal of Information Resources Management, 2016, 6(2): 81-85.
[13]	Li Xiangdong　Cai Yi　Zhang jiao. Evaluation and Analysis of the Related Studies on Electronic Commerce in Library and Information Sciences Journals Based on Articles of 2006-2013 in CNKI [J]. Journal of Information Resources Management, 2016, 6(1): 88-96.
[14]	Deng Shengli Ling Fei. LIS Education Reform Based on Intelligence Analysis in the Big Data Era [J]. Journal of Information Resources Management, 2014, 4(3): 88-94.
[15]	Sheng Zhao. The Discussion on Mode of Making Government Affairs Public Online Based on the “One-stop” Service Platform [J]. Journal of Information Resources Management, 2012, 2(2): 80-84.

Open Data in E-government, E-commerce and Library and Information Science

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments