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Data Standard Construction

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Edge Computing – EDGE 2023 (EDGE 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14205))

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Abstract

Data standardization is a series of work on the definition and implementation of data standards to achieve data value driven business development. The data standard system is a scientific and reasonable framework built according to the actual situation of enterprises, and it is the basis for data standardization. The formulation of data standards requires the investigation of the current situation of data standards, in-depth understanding of the current data problems and the understanding and expectations of various business departments on data standards. Determine the design ideas and relevant principles of data standards. When implementing data standards, we need to consider the implementation strategies and schemes of data standards, and analyze the mapping and differences of data standards. The implementation of data standards needs to consider the implementation of business level and system level.

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References

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Author information

Authors and Affiliations

  1. Beijing Institute of Beijing Jinghang Research Institute of Computing and Communication, Beijing, 100074, China

    Zhengxuan Duan, Shaolei Zhou & Zhicheng Wu

Authors
  1. Zhengxuan Duan
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  2. Shaolei Zhou
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  3. Zhicheng Wu
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Corresponding author

Correspondence to Zhengxuan Duan .

Editor information

Editors and Affiliations

  1. Huazhong University of Science and Technology, Wuhan, China

    Jun Feng

  2. Deakin University, Burwood, VIC, Australia

    Frank Jiang

  3. Georgia Institute of Technology, Atlanta, GA, USA

    Min Luo

  4. Shenzhen Entrepreneurship and Innovation Federation, Shenzhen, China

    Liang-Jie Zhang

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© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

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Cite this paper

Duan, Z., Zhou, S., Wu, Z. (2024). Data Standard Construction. In: Feng, J., Jiang, F., Luo, M., Zhang, LJ. (eds) Edge Computing – EDGE 2023 . EDGE 2023. Lecture Notes in Computer Science, vol 14205. Springer, Cham. https://doi.org/10.1007/978-3-031-51826-3_5

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  • DOI: https://doi.org/10.1007/978-3-031-51826-3_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-51825-6

  • Online ISBN: 978-3-031-51826-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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