Architecture of Integrated Resource System Based on Dataspace

At present, there are some urgent problems in the process of data element circulation, which hinder the marketization process of data elements and block the circulation channel of data elements. It includes the difficulty of transforming original data into data resources, the difficulty of defining data ownership, the difficulty of standard governance of data assets, the difficulty of data element circulation pricing, and the difficulty of data application security and mutual trust. The emergence of these problems has brought great challenges to enterprises in large-scale distributed data governance and data mining. The architecture of this study loads the data space component of closed-loop management of data value circulation, and provides SaaS-level services, which users can subscribe to directly without considering the underlying resource deployment, network configuration and business system development and deployment. In addition, cloud, network, data are separated from each other, enterprises need to deploy these resources separately when perform business-oriented data services. That means to build a set of exclusive infrastructure services, involving cloud services, network services, privacy security services, etc. Such a format is cumbersome for enterprises, not only requires a lot of construction funds and also cause a lot of manpower and time costs. This study provides a custom PaaS-level service, the business system loaded on this architecture does not need to consider the underlying resource deployment and network configuration.