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Research on the Data Right Confirmation Mechanism from the Perspective of the Value Chain

In: Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023)

Author

Listed:
  • Zhang Xuanxuan

    (Institute of Scientific and Technical Information of China)

  • Bai Chen

    (Institute of Scientific and Technical Information of China)

  • Zhang Yue

    (Institute of Scientific and Technical Information of China)

  • Cao Yue

    (Institute of Scientific and Technical Information of China)

Abstract

In the era of big data, data rights confirmation has become an important strength to promote data circulation and market development, ensure data revenue, and achieve data security. Based on the previous research results of value chain and data value chain, this study constructs a value chain model involving the development of the whole life cycle of data, such as data acquisition, data processing, data analysis, and data application. Then, with reference to the “Effect-Mechanism-Analyzing-Mechanism” (EMAM) management research methodology, the data right confirmation mechanism was constructed, and a variety of subjects, objects and rights bundles involved in data right confirmation were sorted out, so as to provide a reference for the establishment of the basic system of data rights confirmation. Finally, it is suggested that (1) establish a classification and grading standard system to ensure the security of data rights confirmation transactions, (2) improve the data rights confirmation system and optimize the market ecology of data elements, and (3) innovate data rights confirmation management tools and deepen the application of blockchain and other technologies.

Suggested Citation

  • Zhang Xuanxuan & Bai Chen & Zhang Yue & Cao Yue, 2024. "Research on the Data Right Confirmation Mechanism from the Perspective of the Value Chain," Advances in Economics, Business and Management Research, in: Chen Bai & Yue Cao & Wenqian Jin (ed.), Proceedings of 2023 China Science and Technology Information Resource Management and Service Annual Conference (COINFO 2023), pages 75-91, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-498-3_8
    DOI: 10.2991/978-94-6463-498-3_8
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