The best way to conference proceedings by Francis Academic Press

Web of Proceedings - Francis Academic Press
Web of Proceedings - Francis Academic Press

Research on the Ownership of Data Elements under the Trend of Data Sharing

Download as PDF

DOI: 10.25236/ieesasm.2020.002


Yiming Gao

Corresponding Author

Yiming Gao


First of all, this essay introduces the research background based on the development of big data at home and abroad, and demonstrates and analyzes the great practical significance of the definition of data property rights to the economic development of my country. Secondly, based on the theory of property rights, public product theory, and principal-agent theory, analyze the ownership of data property rights. According to the form and value of different links in the transaction chain, the data is divided into metadata, structured data, and visualization data. On this basis, discuss the ownership of the data source, seller, and buyer, as well as the attribution of ownership, use rights and income rights. Among them, the source party has absolute rights to the metadata, and the buyer enjoys the power of structured and visualized data to varying degrees. In order to further explore the distribution of income rights among different subjects, this paper establishes a quantitative model for defining data property rights based on the Bazel property rights theory. It believes that the three variables of contribution, competition intentions of other subjects, and policies (external factors) are used to obtain the data of subjects. The degree of ownership of property rights further quantifies the ownership of property rights. Finally, this essay uses the Guiyang Big Data Exchange as an example to point out the problems in the profit model and feedback mechanism of the existing data trading model. It is recommended that the big data platform further improve the feedback mechanism; in addition, the state and government should further increase data processing and business analysis The cultivation of comprehensive talents, the improvement and implementation of the big data security assurance system, and the stable talent input and legal guarantee for the vigorous development of the big data industry.


Property rights theory, ownership issues, income rights, quantification of property rights, transaction models