Data elements

2022 year 7 month 15 Japan , At the data governance seminar hosted by China Academy of information and communication , Data element equity allocation path , As a benchmark in the industry , Every move will attract the attention of the industry , You can interpret the most concerned data elements .

In the report released by the Academy, the connotation of equity allocation of data elements is deconstructed , Discuss the basic theory and configuration method , And analyze the top-level design . As the saying goes ： Economic basis determines superstructure , In the past two years when data has been used as a factor of production , In the wave of enterprise digital transformation , As an asset, numbers are gradually accepted by people . But data sharing , common , The transaction of data and the top-level architecture of data are still in the blank stage , guangdong , Shanghai is also gradually exploring the path and feasibility of data legislation . data classification 、 classification , Data circulation will be the focus of all interested parties .

In the latest report , It is proposed that the allocation of rights and interests of data elements is a systematic project , We need to uphold openness 、 Type and value thinking , Conduct distributed exploration , The accumulation of . For any new technology , There is an exponential development , Explore the way , Stable stage , Data is now in the stage of exponential growth, and legislation is urgently needed , Relationships generated around data processing activities , Gradually improve .

meanwhile , Report the enterprise practice suggestions based on data classification and grading , When classifying data, it is often impossible to make a clear division , In practical work, it is suggested to adopt the concept of classification first and then classification , Benchmarking Safety Law 、 The civil code divides enterprises 、 personal 、 Public and other three types of data . Then proceed to general 、 important 、 The core dimensions are divided . After classifying the data , It can create a data public resource pool , Promote the circulation and trading of data in the market .