Establishment of Data Intellectual Property Rights and Anti-Monopoly Regulation in China

Xiao Han, Nabeel Mahdi Althabhawi

Abstract


Data drives innovation, expands markets, and improves efficiency, enabling companies to better meet market demands. In the AI market, data has even become a significant barrier to market entry. Currently, data laws primarily focus on personal information protection and data security in China. Despite recognizing the value of data, current legislation lacks definitions and protections for data rights, leading to data misuse and monopolistic practices, highlighting the urgent need for specialized intellectual property protection and regulatory legislation. Through doctrinal research and comparative analysis, this study evaluates the characteristics of data, existing legal frameworks, and relevant cases, comparing them with the European Union’s data legal framework. The aim is to clarify the concept of data IP, fill the legislative void in data IP protection and antitrust regulation, and propose recommendations to enhance digital IP protection and anti-monopoly regulation. Recognizing data as IP is the best approach to accommodate its public and proprietary nature, effectively protecting data innovation. Thus, there is an urgent need to establish a comprehensive and forward- looking legal framework to protect data as IP and prevent data monopolies.


Keywords


data protection; market competition; China IP law; antitrust regulation; data legal framework

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References


Akerkar, R. (2014). Analytics on big aviation data: turning data into insights. International Journal of Computer Science and Applications, 11(3), 116-127.

Althabhawi, N. M., Zinatul Ashiqin Zainol, & Bagherib, P. (2022). Society 5.0: A new challenge to legal norms. Sriwijaya Law Review, 6 (1), 41-54.

Bennett, J. R. (1989). Patent misuse: Must an alleged infringer prove an antitrust violation. AIPLA Quarterly Journal, 17, 1.

Bingaman, A. (1994, June). The role of antitrust in intellectual property. In Speech before the Federal Circuit Judicial Conference, Washington (Vol. 16).

Bishop, S., & Walker, M. (2010). The economics of EC competition law: concepts, application and measurement. Vol. 188. Sweet & Maxwell.

Braithwaite, J. (2002). Rules and principles: A theory of legal certainty. Australasian Journal of Legal Philosophy, 27, 47-82.

Burk, D. L., & Cohen, J. E. (2001). Fair use infrastructure for rights management systems. Harvard Journal of Law and Technology, 15, 41.

Chiarella, M. L. (2023). Digital Markets Act (DMA) and Digital Services Act (DSA): New Rules for the EU Digital Environment. Athens Journal of Law, 9, 33.

Chirot, D. (1985). The rise of the West. American Sociological Review, 181- 195. Commons, J. R. (1924). Law and economics. The Yale Law Journal, 34, 371.

Crain, M. (2018). The limits of transparency: Data brokers and commodification. New Media & Society, 20(1), 88-104.

Dhar, S. and Mazumdar, S. (2014). Challenges and best practices for enterprise adoption of bigdata technologies. 2014 IEEE International Technology Management Conference, 1-4. http://doi.org/10.1109/ITMC.2014.6918592 (accessed 29 October 2015).

Duggineni, S. (2023). Impact of controls on data integrity and information systems. Science and Technology, 13(2), 29-35.

Duston, T., & Ross, T. (2018). Intellectual property protection for trade secrets and know-how. https://www.marshallip.com/content/uploads/2014/10/Intellectual- property-protection-for-trade-secrets-and-know-how_TD.pdf

Easterbrook, F. H. (1984). Limits of antitrust. Texas Law Review, 63, 1. European Commission. (2020). A European Strategy for Data, COM 66 final.

Ezrachi, A. (2016). Virtual competition: The promise and perils of the algorithm- driven economy. Harvard University Press.

Feng, Xiaoqing. (2021). Theoretical Interpretation and Construction of Legal Regulation of Data Propertization. Journal of Politics and Law, 4, 81-97.

Fernandez, A. (2022). The Data Act: The next step in moving forward to a European Data Space. European Data Protection Law Review, 8, 108.

Gupta, P., & Tyagi, N. (2015, May). An approach towards big data—A review. In International Conference on Computing, Communication & Automation (pp. 118-123). IEEE.


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