Data registration and trusted circulation system, method, electronic device and storage medium

Abstract

The embodiment of the present invention discloses a data registration and trusted circulation system, including: a data provider, a data demander, a data registration and trusted circulation platform, a data standardization tool, a registration application tool, a trusted computing tool, and a trusted computing Platform; the data provider uses the data standardization tool to standardize the fields in the database to be registered and released to obtain a standardized database, uses the registration application tool to calculate the registration feature code of the standardized database, generates a feature code, and then generates a registration application ; The data registration and trusted circulation platform publishes the summary information of the standardized database for trusted transaction circulation. On the premise of not breaking away from the control of the data provider, the data transaction and circulation are completed through the trusted computing tool and the trusted computing platform, which enhances the control over the data in the process of trusted circulation, and ensures that authorization is required before use, the use process is controllable, Traceable after use.

Description

technical field [0001] The invention relates to the technical field of data processing, in particular to a data registration and trusted circulation system, method, electronic equipment and storage medium. Background technique [0002] With the rapid development of Internet technology, the data resources owned by the government, enterprises, and individuals are increasing exponentially, but many problems such as unclear ownership of data resources, limited supply, inactive circulation, inconvenient transactions, and unreliable management and control have become constraints. A key element of data flow. How to give full play to the role and advantages of data resources, break through the bottlenecks and obstacles in the process of data confirmation and circulation, better utilize the value of data resources, and allow more data resources to participate in circulation more efficiently and more credibly The realization of correlation analysis and fusion computing has increasing...

AI Technical Summary

Problems solved by technology

[0004] The current government data open platform is limited by the lack of policies and regulations on government data openness, especially the specific process mechanism, which leads to data providers being unclear about which data can be opened, the specific process of data openness, and the lack of implementable paths and procedures. In particular, the lack of an authoritative third-party authentication agency has led to the fact that the quantity, quality, and effect of government data opening have not yet appeared, and it is easy to create a dilemma of "useful data dare not be open, and open data is of low value".

At the same time, in the Internet API interface service mode, the data will be out of the control of the data provider, leading to the occurrence of data over-authorization, over-use, theft, and abuse, which seriously violates the privacy protection rights of individuals and enterprises

In addition, traditional data custom processing usually adopts methods such as statistical analysis, sample surveys, questionnaires and interviews. Due to the constraints of data collection scope, time, cost and other factors, the timeliness and effect of data services are quite different from those of big data services.

The transaction of data packets will make the data out of the control of the data provider, so that the data provider cannot know the disposal and resale of the data by the data demander. Therefore, the data provider is often afraid or unwilling to provide data resources. The underlying data, through data cleaning, analysis, modeling, and visualization results

The operator's "data out of the computer room" mode is also a time-consuming and laborious work in the integration, analysis and calculation of multi-party data resources. This physical isolation method has seriously restricted the development of the big data industry.

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