How to carry out public data authorization operations?
With the release of the "Opinions of the Central Committee of the Communist Party of China and the State Council on Building a More Perfect Market-oriented Allocation System and Mechanism of Factors" in 2020, data HE Tuber has officially become the fifth largest factor of production, and relevant exploration and research has been carried out across the country.
The "Opinions of the Central Committee of the Communist Party of China and the State Council on Building a Data Basic System to Better Play the Role of Data Elements" released at the end of 2022 is more in-depth around the data property rights system, data element circulation and transaction system, data element income distribution system and data element governance system. The basic principles have been clarified, and accelerating the circulation of data elements has become an urgent problem to be solved.
How to speed up the circulation of data elements?
The ideas last year and this year are completely different. Last year, more exchanges/trading centers were built one after another; this year, various places have targeted public data authorization operations as an entry point.
Just as the author had the same idea at the end of last year: public data is large in volume and of high value, and is an important part of the national data element system; and because of its generation process, management methods, content characteristics, etc., it is different from enterprise and personal data. In comparison, the ownership structure is clearer.
Therefore, the authorized operation of public data is a key breakthrough in the construction of the data element market.
So what is a public data authorization operation? How to carry out public data authorization operations?
Here, the author describes the overall idea based on what he sees and thinks:
What is public data authorized operation?
The official statement is to authorize specific market entities to, on the premise of protecting state secrets, national security, social public interests, business secrets, personal privacy and data security, develop and utilize information that is closely related to people's livelihood, urgent social needs, and commercial information held by government departments. Data with significant value-added potential.
The author believes that the popular understanding is that on the basis of the original openness of public data, for data involving personal or corporate privacy such as social security and provident funds, by authorizing specific market entities, on the premise of ensuring that the data is available, invisible and relevant security and compliance, Realize in banking, insurance, medical and other industries.
How to carry out public data authorization operations
As a brand-new topic, launching public data authorization operations must be a process of in-depth exploration by multiple parties. The author believes that the core of public data authorization operations includes the following five major links:
Legislative protection
For a long time, public data circulation has encountered many bottlenecks and blockages. For example, whether the local government clearly supports the authorized operation of public data, what are the rights and responsibilities of the big data bureau and the commissioned bureau, and where are the rights and interests of authorized operating entities protected, etc. This requires local legislation to provide legal explanations, so as to provide follow-up information for all parties. Work together to provide an effective grip.
At present, 18 provinces in my country have successively introduced local data regulations and legislation. At the same time, we can see that some prefectures and cities have also introduced local data regulations this year, such as Suzhou and Xiamen. A large part of them explains the circulation of data elements and the authorized operation of public data. .
System construction
Due to their particularity, laws and regulations cannot be elaborated on authorized operations of public data, so local governments need to introduce corresponding management measures.
The specific core content includes the responsibilities of relevant departments for public data authorization operations, corresponding public data authorization operation procedures, corresponding requirements for authorized operation market entities, security guarantee mechanisms, directions that need to vigorously promote utilization, etc., and must be compiled according to various local characteristics. .
At the same time, in order to speed up the progress of all departments, each locality must issue corresponding implementation plans, mainly including the lead party and time nodes of relevant work.
In addition, this work also includes how to grant operating rights to corresponding market entities, who will be responsible for platform construction, how to refine the revenue distribution system, etc. There is a lot of preliminary preparation work, which is also a problem that is currently being solved in various places.
Technical support
After the relevant system construction is clarified, the overall project construction needs to be started at this time.
The first one is platform construction, which comprehensively considers the differences in needs of various roles: For example, the data source department and the data management department consider more about which data can be authorized for use? How is this data desensitized? How to evaluate the value of data assets? How to carry out security supervision for the entire process and other issues, while operating companies pay more attention to how data products are processed and generated? How to authorize the information subject? How to price data products and other issues.
These functions are currently also the goals that various construction service manufacturers are focusing on research and development.
Scene mining
This is content that all roles are interested in, especially operating companies, because in layman’s terms this is content that can actually bring monetization value.
Here, the author can't help but express my gratitude for having been deeply involved in the exploration of operator data monetization since graduation. I have accumulated a certain amount of knowledge about the data required for business development in banking, insurance, retail, cultural tourism and other industries.
After coming into contact with the huge treasure of public data, related scenarios gradually became systematic with corresponding research and certification. At present, the author has sorted out at least 30 scenarios, and the data products derived from some scenarios are taking effect in relevant places.
At the same time, the author believes that the greater value of authorized operation of public data or circulation of data elements is to help industrial upgrading. How to strengthen the integration of factor chains and industrial chains is a key point that needs to be considered in various places.
Because common scenarios will gradually become generalized, the corresponding value will decrease. Industrial scenarios, especially those that combine local characteristics, will definitely improve the level of local economic development.
This is also what the author believes is the most important value of data as a production factor: promoting the deep integration of data elements with other production factors such as capital and technology; using data elements to integrate and forge various chains in market relationships; improving entities through the marketization of data elements economic operation power, thereby forming a coordinated development mechanism.
Take the biomedical industry as an example: In the drug discovery stage, target orientation requires the support of various international relevant databases. Basically, relevant biomedical research institutions need to spend corresponding expenses for procurement and analysis every year. If the operating company conducts unified purchasing and the data providers form corresponding data base products and supply them to pharmaceutical companies, then the R&D costs of pharmaceutical companies will be reduced. At the same time, in the clinical trial stage, the capital cost required for new drug research applications is very large. How to form a product in the enterprise research stage and a local investment mechanism also requires the integration of factor chains.
Therefore, judging from the current exploration in various places, some places are already building data element industrial parks. The author believes that we can wait for a while, and the ultimate form is to form a local data element industrial park. But the core prelude is the need to form factor services in all aspects around local characteristic industries, so as to help industrial upgrading on the one hand, and on the other hand to form an industrial park with local characteristics around these factor services.
Income distribution
Since in layman's terms, public data authorization operations are monetization, then how to price data products in various scenarios has been a long-standing problem.
Operators have been working on monetization for so many years and there is no specific standard method, so the author believes that a national standard is basically impossible, or very difficult. Theoretically, pricing methods are divided into cost method, income method, and market method. Currently, it is recommended to adopt the cost method. After all, there are not so many data products in various places.
So what are the general revenue paths? The author believes that it is divided into the following categories:
End-to-end revenue, the operating company directly faces the revenue of the utilization entity.
The operating company processes and forms data components for the benefit of digital business operators.
Annual registration fee for several merchants.
Data providers will take a commission from the trading volume of their data products.
Accounting and disclosure to improve operating company corporate assets.














