Exploring China's Data Management Model in the Era of Artificial Intelligence

Monday, 21 October 2024, 23:00

The data management model in China aims to revolutionize how public data is utilized as a lucrative asset. As local governments grapple with turning data into tradeable commodities, insights from the Communist Party's recent policies illuminate the potential for revenue generation. With strategic resources defined and market mechanisms encouraged, the path for such transformations is both promising and complex.
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Exploring China's Data Management Model in the Era of Artificial Intelligence

The Vision for Public Data

China's data management model is being shaped as government entities explore opportunities for capitalizing on public data. Visibility into how these assets can be monetized began in 2020, with the Communist Party elevating data alongside traditional resources like land and labor.

Policy Framework and Local Government Initiatives

Recently, the Central Committee issued a policy document to accelerate the development and use of public data, providing essential guidelines for local governments on controlling and selling this newly classified strategic resource. These mandates position local governments to act as the sole vendors of various data, similar to the dynamics of land sales.

Potential Economic Impact

  • Local authorities discussing data integration into financing vehicles
  • The viability of data as a fiscal asset means potential new revenue streams
  • Public service improvements funded by data sales

Challenges and Considerations

Despite the optimistic outlook, there are substantial hurdles to establishing a functional public data market. Key questions remain, such as ownership rights and trading mechanisms.

Looking Forward

Guangdong province has already initiated authorised public data operations, paving the way for commercial involvement in public data management. The goal is clear: to create a new revenue-generating landscape through innovative data market dynamics and strategies.


This article was prepared using information from open sources in accordance with the principles of Ethical Policy. The editorial team is not responsible for absolute accuracy, as it relies on data from the sources referenced.


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