Abstract
The construction and development of the digital economy, digital society and digital government are facing some common basic problems. Among them, the construction of the data governance system and the improvement of data governance capacity are short boards and weak links, which have seriously restricted the construction and development of the digital economy, digital society and digital government. At present, the broad concept of data governance goes beyond the scope of traditional data governance, which “involves at least four aspects: the establishment of data asset status, management system and mechanism, sharing and openness, security and privacy protection”. Traditional information technologies and methods are powerless to comprehensively solve these problems, so it is urgent to improve understanding and find another way to reconstruct the information technology architecture to provide a scientific and reasonable technical system for effectively solving the problems of data governance. This paper redefined the information technology architecture and proposed the data architecture as the connection link and application support system between the traditional hardware architecture and software architecture. The data registration system is the core composition of the data architecture, and the public key encryption and authentication system is the key component of the data architecture. This data governance system based on the data architecture supports complex, comprehensive, collaborative and cross-domain business application scenarios. It provides scientific and feasible basic support for the construction and development of the digital economy, digital society and digital government.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Mei, H.: Big data development and digital economy. China’s Ind. Informatiz. 5, 60–66 (2021)
Mei, H.: Big data and digital economy. Qiushi. http://www.qstheory.cn/dukan/qs/2022-01/16/c_1128261786.htm. Accessed 7 June 2022
Mei, H., Yang, J.: Promote the construction of big data governance system at different levels and dimensions. China Educ. Netw. 7, 38–39 (2018)
Liu, G., Qian, J., Lu, Z.: Research progress of data governance at home and abroad: connotation, elements, model and framework. Libr. Inf. Work 21, 137–144 (2017)
Dai, H., Zhang, Q., Yin, Z.: Study on big data governance standard system. Big Data 5(3), 47–54 (2019). https://doi.org/10.11959/j.issn.2096-0271.2019023
Al-Ruithe, M., Benkhelifa, E., Hameed, K.: A systematic literature review of data governance and cloud data governance. Pers. Ubiquit. Comput. 23(5–6), 839–859 (2018). https://doi.org/10.1007/s00779-017-1104-3
Stockdale, S.: Deconstructing data governance (2015). https://digitalrepository.unm.edu/hslic-posters-presentations/11/. Accessed 7 June 2022
Khatri, V., Brown, C.V.: Designing data governance. Commun. ACM 53(1), 148–152 (2010). https://doi.org/10.1145/1629175.1629210
Zhang, N., Yuan, Q.: Review of data governance research. Intell. Mag. 36(5), 129–134, 163 (2017)
Zheng, D., Huang, L., Zhang, C., Zhang S.: Concept of big data governance and its reference architecture 4, 65–72 (2017). https://doi.org/10.13581/j.cnki.rdm.2017.04.005
Yin, J., Zhu, H., Yu, J., Qiu, S.: A panoramic framework of big data governance. Big Data 6(2), 19–26 (2020). https://doi.org/10.11959/j.issn.2096-0271.2020011
Gan, S., Che, P., Yang, T., Wu, J.: Big data governance system. Comput. Appl. Softw. 35(6), 1–8, 69 (2018). https://doi.org/10.3969/j.issn.1000-386x.2018.06.001
Mei, H.: Constructing data governance system and cultivating data element market ecology. Sci. Chin. 16, 36–37 (2021)
Huang, H.: US federal government data governance: policy and structure. China Adm. 8, 47–56 (2017). https://doi.org/10.3782/j.issn.1006-0863.2017.08.07
Song, L.: Experts talk about National Informatization Plan for the 14th Five-Year-Plan: Stimulate the value of data elements and enable the construction of Digital China. http://www.cac.gov.cn/2022-01/21/c_1644368244622007.htm. Accessed 7 June 2022
Tang, S., Liu, Y.: Strengthen data governance and enhance national innovation. State Information Center (2018). http://www.sic.gov.cn/News/612/9707.htm. Accessed 7 June 2022
An, X., Guo, M., Hong, X., Wei, W.: Framework of government big data governance system and effective way of implementation. Big Data 5(3), 3–12 (2019). https://doi.org/10.11959/j.issn.2096-0271.2019019
Liang, Z.: Big data governance: the proper meaning of the modernization of national governance capacity. J. Jishou Univ. (Soc. Sci. Ed.) 36(2), 34–41 (2015). https://doi.org/10.13438/j.cnki.jdxb.2015.02.00
Yang, M., Du, X.: Big data governance in governments: a new form of the government administration. Big Data 6(2), 3–18 (2020). https://doi.org/10.11959/j.issn.2096-0271.2020010
Fan, L., Hong, X., Huang, Z., Hua, G., Li, G.: Challenge and countermeasure of governing government big data. Big Data 2(3), 27–38 (2016). https://doi.org/10.11959/j.issn.2096-0271.2016028
Li, Z., Hong, Y.: Study on big data management for government based on privacy protection. Big Data 6(2), 69–82 (2020). https://doi.org/10.11959/j.issn.2096-0271.2020015
Ma, Z., et al.: Research on data schema and security in data governance. Big Data 2(3), 83–95 (2016). https://doi.org/10.11959/j.issn.2096-0271.2016033
Du, X., Cheng, Y., Fan, J., Lu, W.: Data wrangling: a key technique of data governance. Big Data 5(3), 13–22 (2019). https://doi.org/10.11959/j.issn.2096-0271.2019020
Miao, F., Yang, W., Xie, Y., Fan, W.: Consideration and research on data architecture for the future cyber society. In: IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), Leicester, United Kingdom, pp. 1671–1676 (2019). https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00298
Miao, F., Yang, W., Xie, Y., Fan, W.: Data architecture for big data service operations management (the new vision of data architecture for the future human society). In: Emrouznejad, A., Charles, V. (eds.) Big Data and Blockchain for Service Operations Management. Studies in Big Data, vol. 98, pp. 95–137. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-87304-2_4
Miao, F., et al.: Digital copyright works management system based on DOSA. In: CSAE 2018, Proceedings of the 2nd International Conference on Computer Science and Application Engineering, Article no. 179, Hohhot, China. Association for Computing Machinery, ACM (2018). ISBN 978-1-4503-6512-3/18/10. https://doi.org/10.1145/3207677.3278047
Panpeng, V., Fang, M., Phaphuangwittayakul, A., Rattanadamrongaksorn, T.: Preliminary study and implementation of Chiang Mai tourism platform based on DOSA. In: Yang, X.-S., Sherratt, S., Dey, N., Joshi, A. (eds.) Proceedings of Fifth International Congress on Information and Communication Technology. AISC, vol. 1184, pp. 511–521. Springer, Singapore (2021). https://doi.org/10.1007/978-981-15-5859-7_51
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Miao, F., Yang, W., Xie, Y., Fan, W. (2022). Research on the Realization Path and Application of a Data Governance System Based on Data Architecture. In: Wang, Y., Zhu, G., Han, Q., Zhang, L., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2022. Communications in Computer and Information Science, vol 1629. Springer, Singapore. https://doi.org/10.1007/978-981-19-5209-8_1
Download citation
DOI: https://doi.org/10.1007/978-981-19-5209-8_1
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-5208-1
Online ISBN: 978-981-19-5209-8
eBook Packages: Computer ScienceComputer Science (R0)