The era of digital economy is beginning. It is a new economic form after the agricultural economy and industrial economy based on the new generation of information technology and industry. Among them, data is an important factor of production. At present, all business formats are in-depth cooperation and integration around the main line of informatization, completing their own transformation, upgrading and reform, and spawning many new business formats, and also causing some traditional business formats to die out. The new round of industrial revolution and social economic “revolution” brought about by the new generation of information technology represented by the Internet will be unprecedented in breadth, depth and speed, and will far exceed what we have obtained from industrial society. Common sense and cognition far exceed our expectations. In the context of digitalization, global digital trade is growing rapidly, and new foreign trade models and formats such as cross-border e-commerce and supply chain digitization are developing rapidly. Digital platforms have become an important carrier of cross-border trade.

The current digital governance system faces many challenging issues, such as Internet monopoly supervision, financial digital business supervision, network public opinion supervision and guidance, data security and privacy protection, etc. International organizations are also paying high attention to digital governance. The COVID-19 pandemic in 2020 and many other factors have brought attention to digital governance to a new high. my country attaches great importance to digital governance and actively participates in the reform and construction of the global governance system. In fact, all countries attach great importance to data governance. Around data governance, based on different concerns, they have promoted the formulation and release of relevant policies, laws and regulations. Data governance has also become a hot spot in academic research and in the development of big data technology industry.

Digital governance involves the government, enterprises, citizens and other multiple subjects, as well as the economy, culture, technology and other fields. It can be understood from two aspects: first, digital governance, that is, taking digital transformation as the background, adopting effective strategies and management measures to ensure the implementation effect and value maximization of digital transformation; second, digital governance, that is, using platforms, Tools, etc. provide digital technical support for the organization and related governance areas such as resources, data, technology, and processes within the organization.

Digital governance faces many problems. A systematic data governance framework has not yet been formed, and key technologies such as open sharing, security and privacy protection, quality assessment, and value prediction are far from mature. How to build a linked governance technology system, how to establish a good data sharing and open environment, how to establish an effective data management mechanism and hierarchical data security privacy and protection barriers, and how to establish systematic system standards and specifications are all worthy of discussion.

In this regard, a data governance system architecture – “four three four” model is condensed. The previous “four” refers to the “four” contents of governance, that is, establishing the asset status of data, establishing relevant management systems and mechanisms, promoting sharing and openness, and protecting privacy and security; “three” refers to three levels, namely, organizational level, industry level and national level; the last “four” refers to tools and means, including systems and regulations, standards and specifications, application practices and supporting technologies. Top-level design is very important, but it is more important to leave enough room for innovation.