Currently, the trusted data space composed of multiple trusted relationships such as subject trust, data trust, environment trust, contract trust, and technology trust has become an innovation of the data circulation model in the digital intelligence integrated era.
In the context of data intelligence integration, the scale and complexity of data supply are exponentially expanding, and the trend of data centric development is becoming increasingly prominent. Faced with complex challenges such as chaotic data distribution, multi-source heterogeneity, and competitive games, the practical needs such as data fusion and utilization, real-time circulation, and intelligent development pose new challenges to the infrastructure and operation mode of data sharing and exchange. At the same time, issues such as security trust, interoperability, and dynamic supply in data circulation have further intensified the difficulty of cross-departmental data development and utilization, and new breakthrough solutions are urgently needed. As a result, the trusted data space has emerged.
This article further elaborates on the practical progress of trusted data space. The emergence of data space reflects the urgent need for global countries to accelerate the circulation and utilization of data as well as release the value of data elements. The Global Digital Economy White Paper (2024) points out that the number of data spaces in Europe has increased by 60% year-on-year compared to 2023, and the pace of global data space construction has significantly accelerated.
