数据资产可信通证化流通白皮书2025年3月

Investment Rating - The report does not explicitly state an investment rating for the industry Core Insights - The importance of data assets is increasingly recognized as a core driver of modern economic activities, enabling businesses to gain market insights and optimize operations [7][9] - Tokenization of data assets transforms static information into dynamic, tradable assets, enhancing their value and facilitating market transactions [13][15] - The rise of the data asset circulation economy signifies a new economic era centered around data, necessitating efficient and secure data trading markets [17][18] Summary by Sections Introduction - Data assets are crucial for competitive advantage across various sectors, including finance, retail, healthcare, and urban management [7][9] - Tokenization broadens the trading boundaries of assets, allowing for lower costs and increased efficiency in transactions [10][11] Background of Data Asset Tokenization - The emergence of data asset circulation economy marks a significant leap in productivity, driven by advancements in big data, cloud computing, and AI [17] - Challenges in data circulation include unclear ownership, privacy protection, security risks, and the need for a robust market mechanism [19][20] Theoretical Foundation and Key Technologies - The theoretical basis for data asset tokenization combines modern economics and information theory, emphasizing the value realization mechanism of data [26] - Key technologies include blockchain for secure transactions, distributed digital identity for identity verification, and encryption for data protection [27][28][29] Implementation Pathways - The implementation of data asset tokenization involves three key stages: data rights confirmation and authorization, token design and issuance, and market construction [34][41] - Data rights confirmation ensures clear ownership and control over data, while token design focuses on creating a viable economic model for data assets [39] Application Cases - In the telecommunications industry, data asset tokenization allows for the trading of aggregated and anonymized statistical data, enhancing decision-making for various stakeholders while ensuring user privacy [46]