Abstract
The quality of Forestry Open Government Data (FOGD) is the basis for the construction of Forestry Open and Shared Service System. This paper, which is based on the quality criterion of Open Government Data (OGD) and forestry data, constructed a quality assessment framework for FOGD and adopts manual collection as well as network crawling methods to conduct the comparison research of FOGD platforms between China and the United States, showing that Chinese FOGD have quality problems in security, openness, comprehensiveness, sustainability, availability, metadata, etc. To encourage users to participate in innovation and value creation in leveraging forestry government data extensively, it is recommended that in the future, the degree of policy standards readiness and data openness should be improved; metadata standard should be established; comprehensive, accurate, consistent and standardized forestry government data should be continuously opened up.
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References
Zhai, J., Li, X., Lin, Y.: Research on government high-value data in the background of open data: perspective of data supply. Res. Libr. Sci. 2017(22), 76−84+54
Jiao, H.: Analysis on principles of Open Government Data in China. Libr. Inf. Serv. 15, 81–88 (2017)
Zhai, J., Yu, M., Lin, Y.: Comparative research on metadata schema for open data of the leading governments around the world. Libr. Inf. 4, 113–121 (2017)
State Council: National Informatization Planning for the 13th Five-Year Plan [EB/OL]. http://www.gov.cn/zhengce/content/2016-12/27/content_5153411.htm. Accessed 15 July 2018
Huang, R., Wen, F.: Policy framework and content of opening and sharing government data in China: a content analysis of policy documents at the national level. Libr. Inf. Serv. 61(20), 12–25 (2017)
Open Government Data Principles [EB/OL]. https://public.resource.org/8_principles.html. Accessed 19 Apr 2019
International Open Data Charter Principles [EB/OL]. https://opendatacharter.net/principles/. Accessed 19 Apr 2019
How to further promote the opening of public data resources [EB/OL]. http://www.cbdio.com/BigData/2017-07/18/content_5560077.htm. Accessed 18 July 2017
Government Information System Integration and Sharing Implementation Plan [EB/OL]. http://www.gov.cn/zhengce/content/2017-05/18/content_5194971.htm. Accessed 30 May 2017
The Central Network Information Office, the Development and Reform Commission, and the Ministry of Industry and Information Technology jointly issued the “Public Information Resources Open Pilot Work Plan” [EB/OL]. http://www.echinagov.com/policy/201408.htm. Accessed 05 Jan 2018
Zhang, Q., Wu, D., Zhao, J.: Big data standards system. Big Data Res. 3(04), 11–19 (2017)
Kubler, S., Robert, J., Neumaier, S., et al.: Comparison of metadata quality in open data portals using the Analytic Hierarchy Process. Gov. Inf. Q. 35(1), 13–29 (2018)
Ma, H., Tang, S.: Evaluation for service quality about website of government open data based on structural equation. J. Mod. Inf. 36(09), 10−15+33 (2016)
Wang, J., Ma, H.: Evaluation for customers’ satisfaction about quality of government open data. J. Mod. Inf. 36(09), 4–9 (2016)
Li, F.: Assessment Study on the Platform Construction of Government‘s Open Data Based on Data Quality. Nanjing University (2017)
Tan, B., Chen, Y.: Data quality of Open Government Data Platform in China: ten provinces and cities as the research object. J. Intell. 36(11), 99–105 (2017)
Li, X., Zhai, J., Zheng, G.: Data quality assessment for Open Government Data in Chinese local governments: Beijing, Guangzhou and Harbin. J. Intell. 37(06), 141–145 (2018)
Zhai, J., Li, X., Miao, Z., Li, J.: Research on the problem of “Dirty Data” in China’s Open Government Data and its countermeasures: data quality survey and analysis of local government data platform. Library 2019(01), 42–51 (2019)
Oviedo, E., Mazon, J.N., Zubcoff, J.J.: Towards a data quality model for open data portals. In: Computing Conference, pp. 1–8. IEEE (2013)
Vetrò, A., Canova, L., Torchiano, M., et al.: Open data quality measurement framework definition and application to Open Government Data. Gov. Inf. Q. 33(2), 325–337 (2016)
Shazia, S., Indulska, M.: Open data quality over quantity. Int. J. Inf. Manage. 37(3), 150–154 (2017)
Zheng, L., Lü, W.: Assessing open data at local government level: framework and findings. Libr. Inf. Serv. 62(22), 32–44 (2018)
Zhang, Y.: Collaborative Research on Data Openness and Security Policy of Chinese Government. HeiLongjiang University (2018)
Ruhua, H., Miao, M.: Chinese government’s open data security protection countermeasures. E-Gov. 05, 28–36 (2017)
Wu, Z., Sun, X., Xiao, R.: When open data meet open source: a comparative study of open data portal. Libr. J. 37(05), 82–90 (2018)
Li, J., Liu, X.: An important aspect of big data: data usability. J. Comput. Res. Dev. 50(06), 1147–1162 (2013)
Acknowledgements
We would like to thank the Platforms of US-China FOGD for making this research possible. In addition, we would like to thank Zheng Jia for her participation in this research.
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Wang, B., Wen, J., Zheng, J. (2020). Research on Assessment and Comparison of the Forestry Open Government Data Quality Between China and the United States. In: He, J., et al. Data Science. ICDS 2019. Communications in Computer and Information Science, vol 1179. Springer, Singapore. https://doi.org/10.1007/978-981-15-2810-1_36
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DOI: https://doi.org/10.1007/978-981-15-2810-1_36
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