Method and system for public data flow circulation use

Abstract

The application relates to the technical field of public data opening, in particular to a public data circulation and use method and system, which comprises the following steps: a government affair big data platform pushes metadata information of public data available for operation to a public data authorized operation platform through a public data labeling process; a data demander judges whether the required public data is unconditionally operated on the public data authorized operation platform, and if yes, the public data is directly used; the method and system have the beneficial effects that the method and system pass through the government affair big data platform and the public data authorized operation platform, realize accurate classification and grading of the public data and clear operation conditions, and significantly improve the scientificity and standardization of public data management. Meanwhile, the application provides a credible data space, and effectively guarantees that original data does not go out of the domain.

Description

Technical Field

[0001] The present invention relates to the field of public data opening technology, and in particular to a method and system for circulating and using public data. Background Art

[0002] With the deepening development of the information age, various regions and departments are actively building and optimizing government big data platforms, achieving centralized storage of massive amounts of public data and significantly improving information sharing and business collaboration efficiency among government departments. However, as data becomes a new production factor, how to further promote the internal and external circulation of public data within government big data platforms, especially how to achieve integrated application with external social data while ensuring data security, has become a key issue that needs to be addressed.

[0003] Specifically, the core challenges currently faced include:

[0004] 1. Definition of the scope of data operations: It is necessary to use advanced data classification and grading technologies, combined with laws, regulations and policy requirements, to clearly define which public data are suitable for public data operations to ensure the effective use and compliance of data.

[0005] 2. Data application and authorization mechanism: It is necessary to establish a data application and authorization mechanism based on blockchain technology to ensure that data demanders can submit data applications conveniently and compliantly, and obtain access to and use rights to the required data through a rigorous review and authorization process.

[0006] 3. Original Data Protection: Advanced data encryption, desensitization, and access control technologies must be employed during data circulation and use to ensure that original data does not leave the domain and that data is available and used in an invisible manner. Technologies such as distributed architectures and trusted data spaces can achieve secure data storage, transmission, and use, preventing data from being retained, copied, disseminated, or misused.

[0007] The solution to these problems will be directly related to whether the government big data platform can fully realize its due value and promote the in-depth development of the government's digital transformation. At the same time, it will also help promote the deep integration of the digital economy and the real economy and inject new impetus into economic and social development. Summary of the Invention

[0008] The purpose of the present invention is to provide a method and system for the circulation and use of public data to solve the problems raised in the above background technology.

[0009] To achieve the above-mentioned object, the present invention provides the following technical solution: a method for circulating and using public data, the method comprising the following steps:

[0010] S1: The government big data platform pushes metadata information of public data that can be used for operations to the public data authorization operation platform through the public data labeling process;

[0011] S2: The data demander determines whether the required public data is unconditionally operated on the public data authorization operation platform. If so, it is used directly; if not, it proceeds to step S3;

[0012] S3: The demander submits the required public data application to the government big data platform on the public data authorization operation platform;

[0013] S4: The data provider determines whether the required public data is authorized through the public data authorization and approval process on the government big data platform. If not, the process returns to step S2; if so, the process proceeds to step S5;

[0014] S5: The demander uses authorized data in the trusted data space, ensuring that the original data does not leave the domain and the data is available but not visible.

[0015] Preferably, the government big data platform pushes metadata information of operational public data to the public data authorization operation platform through a one-way message mechanism, and supports real-time push of change information.

[0016] Preferably, the public data authorization operation platform provides full-process services for data authorization development and operation, including authorization operation management, data resource management, data product services, and supporting service functions, while ensuring that "original data does not leave the domain and data is available but not visible" of public data.

[0017] Preferably, the public data labeling process includes:

[0018] A1: The big data regulatory department shall formulate the classification and grading standards for public data on the government big data platform;

[0019] A2: The big data regulatory department issues classification and grading standards to each public data provider, and each data provider classifies and grades public data;

[0020] A3: Each data provider labels the data based on the classification and grading results to determine whether it can be used for public data operations;

[0021] A4: Determine whether the data that can be used for operations can be used for operations without authorization, and label it as unconditional operation or conditional operation accordingly;

[0022] A5: The government big data platform synchronizes the metadata information of operational public data to the public data authorization operation platform.

[0023] Preferably, the public data authorization approval process includes:

[0024] B1: The government big data platform receives the application, and the system automatically determines whether the requested public data has authorization records for the industry and application scenario;

[0025] B2: If there is an authorization record, the big data authority will determine whether the public data provider department needs to re-authorize based on the application purpose. If not, the system will automatically approve and file the application. If yes, proceed to step B3.

[0026] B3: If there is no authorization record or repeated authorization is required, the department providing the public data will determine whether to authorize it.

[0027] A public data circulation and utilization system, comprising:

[0028] Government Big Data Platform: used to store public data and push metadata information of operational public data to the public data authorization operation platform through the public data labeling process;

[0029] Public Data Authorization Operation Platform: used to receive metadata information pushed by the government big data platform and allow data demanders to determine whether the required public data can be operated unconditionally. If not, they submit an application to the government big data platform;

[0030] Trusted Data Space: This is used to provide a secure environment for data use after the data demander obtains authorization, ensuring that the original data does not leave the domain and that the data is available but not visible.

[0031] Data provider: Responsible for classifying and grading public data on the government big data platform, and making authorization judgments on applications based on the public data authorization and approval process.

[0032] Preferably, the government big data platform also pushes the change information of the pushed data, including editing and delisting, to the public data authorization operation platform in real time through a one-way message mechanism.

[0033] Preferably, the public data authorization operation platform provides the following functions:

[0034] Authorization operation management: manage the entire process of data authorization;

[0035] Data resource management: manage metadata information of public data;

[0036] Data product services: providing data products and services based on authorized data;

[0037] Support services: Provide technical support to data managers, data providers, and data application units.

[0038] Preferably, the public data metadata information includes data name, data description information, data providing department, data item information, data generation frequency, data generation method, data structured characteristics, data storage method and open conditions, and the data item information contains different detailed information depending on the data type.

[0039] Preferably, the public data authorization approval process includes the following steps:

[0040] Receiving applications: The government big data platform receives applications from data demanders;

[0041] Automatic judgment: The system automatically determines whether the public data requested has authorization records for the corresponding industry fields and application scenarios;

[0042] Repeated authorization judgment: If there is an authorization record, the big data management department will determine whether repeated authorization is required based on the intended use;

[0043] Authorization decision: If repeated authorization is not required, the system will automatically approve and file it; otherwise, the public data provider will decide whether to authorize it.

[0044] Compared with the prior art, the present invention has the following beneficial effects:

[0045] The method and system for the circulation and use of public data proposed in the present invention, by connecting the government big data platform and the public data authorization operation platform, realizes the accurate classification and grading of public data and the clarification of operating conditions, significantly improving the scientific nature and standardization of public data management. At the same time, the present invention provides a trusted data space, which effectively guarantees that the original data does not leave the domain, and the original data remains in the domain during the circulation and use process. The data is available but invisible, which greatly enhances the security and privacy protection capabilities of the data. In addition, the present invention also promotes the deep integration and application of public data and social data, breaks the data silos, realizes the efficient circulation and use of public data, provides strong support for the digital transformation of the government, and promotes the deep integration and development of the digital economy and the real economy. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] Figure 1 This is a schematic diagram of the circulation and use of public data in the present invention;

[0047] Figure 2 Flowchart for labeling public data of the present invention;

[0048] Figure 3 This is the public data authorization and approval flow chart of the present invention. DETAILED DESCRIPTION

[0049] In order to clearly and completely describe the objectives and technical solutions of the present invention and make the advantages more clearly understood, the embodiments of the present invention are further described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are part of the embodiments of the present invention, not all of them, and are only used to explain the embodiments of the present invention, not to limit the embodiments of the present invention. All other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of the present invention.

[0050] For example 1, please refer to Figures 1 to 3 The present invention provides a technical solution: a method for circulating and using public data, the method comprising the following steps:

[0051] In step S1, the government big data platform pushes the metadata information of public data that can be used for operation to the public data authorization operation platform through the public data labeling process.

[0052] In step S2, the data demander determines whether the required public data is unconditionally operated on the public data authorization operation platform.

[0053] If so, the demander can directly use public data.

[0054] If not, then go to step S3.

[0055] In step S3, the demander submits an application for the required public data to the government big data platform on the public data authorization operation platform.

[0056] In step S4, the data provider determines whether to authorize the required public data through the public data authorization and approval process on the government big data platform.

[0057] If not, then go to step S2 and reselect the required data according to the rejection reason.

[0058] If yes, then go to step S5.

[0059] In step S5, the demander uses the authorized data in the trusted data space, ensuring that the original data does not leave the domain and the data is available but not visible.

[0060] Preferably, the government big data platform pushes metadata information about operational public data to the public data authorization operation platform through a one-way messaging mechanism. This platform supports pushing operational public data on the government big data platform, including historical and newly added data, after tagging. It also supports real-time push of change information to the public data authorization operation platform after changes to pushed data, including editing and removal.

[0061] Optimally, a public data authorization operation platform is a technology platform that provides full-process services for data authorization development and operation, ensuring that "original data does not leave the domain and data is available but not visible," through traceable authorization, reliable supply, trusted processing, controllable services, and security. It provides authorization operation management, data resource management, data product services, and support services to data managers, data providers, authorization operators, and data applications.

[0062] Preferably, the public data metadata information includes data name, data description information, data providing department, data item information, data generation frequency, data generation method, data structured characteristics, data storage method, open conditions and other information.

[0063] Preferably, the data item information of structured data usually corresponds to a field in the data or a specific attribute in a record; the unstructured data item information can be a word, phrase or sentence in a text, a pixel or feature in an image, a frame in a video, etc.

[0064] Preferably, the data generation frequency includes every second, minute, hour, day, week, month, quarter, half year, year, irregular period, and no update.

[0065] Preferably, the data generation method includes manually collected data, secondary processed data, data generated by information systems, data generated by sensing devices, and original data.

[0066] Preferably, the data structuring features include structured data, board-structured data and unstructured data.

[0067] Preferably, data storage methods include relational databases, key-value databases, columnar databases, graph databases, and document databases.

[0068] Preferably, the demander can better understand the data through metadata information, so as to make a more accurate data application.

[0069] Preferably, the types of public data available for operation are divided into unconditional and conditional operations. Operational data can be applied for on the operation platform. Unconditional data can be used directly without authorization, while conditional data requires authorization. Demanders also need to initiate a data application to use unconditional data. The public data operation platform automatically authorizes the application and records it on the government big data platform to ensure traceability of data usage.

[0070] Preferably, the demander should comply with the principle of minimum data usage when applying for resources. When applying for structured data, the application should be specific to the field, the purpose of use should be clearly stated, and the data should be used only within the scope required to achieve that purpose.

[0071] When submitting a public data application, the requester should select the industry and application scenarios for the data. Industry sectors typically include market supervision, education and technology, culture and leisure, geospatial science, social security and employment, health and wellness institutions and groups, urban construction and housing, trade and commerce, public safety, credit services, transportation, meteorological services, comprehensive government affairs, social assistance, finance and taxation, safety supervision, agriculture and rural areas, and resources and environment. Application scenarios should be tailored to the industry sector. For example, the finance and taxation sector includes risk management, tax management, performance evaluation, intelligent tax consulting, and financial and taxation risk warning scenarios.

[0072] Optimally, trusted data spaces promote the efficient circulation and utilization of data, effectively resolving long-standing security and trust issues among multiple parties, including data providers, users, service providers, and regulators. Within a trusted data space, demanders can perform privacy-focused computing, ensuring that they do not directly access plaintext data throughout the entire data processing and usage process, significantly reducing the risk of data leakage. Data can only be further calculated and applied after being encrypted in a trusted environment. This mechanism implements the principle of original data remaining within the domain, meaning that data can be processed and processed without leaving its original storage environment. Furthermore, the data's usable but invisible nature satisfies data usage requirements while ensuring data privacy and security, providing strong technical support for data sharing and circulation.

[0073] Preferably, the public data labeling process includes:

[0074] Step A1: The big data management department shall formulate the classification and grading standards for public data on the government big data platform.

[0075] Step A2: The big data management department issues classification and grading standards to each public data provider, and each data provider classifies and grades public data.

[0076] In step A3, each data provider labels the data based on the classification and grading results to determine whether it can be used for public data operations.

[0077] If not, then tagging is not feasible.

[0078] If yes, then go to step A4.

[0079] Step A4: Determine whether the data that can be used for operations can be used for operations without authorization.

[0080] If so, then label it and operate it unconditionally.

[0081] If not, then labeling is conditional operation.

[0082] In step A5, the government big data platform synchronizes the metadata information of the operational public data to the public data authorization operation platform.

[0083] Preferably, the big data management department can formulate local standards based on standards such as the National Economic Industry Classification (GB / T 4754-2017), General Terminology of Classification and Coding (GB / T 10113-2003), Information Security Technical Terminology (GB / T25069-2010), Information Technology Big Data Terminology (GB / T 35295-2017), and Information Technology Big Data Data Classification Guidelines (GB / T 38667-2020).

[0084] According to the open attributes of public data, it can be divided into three categories:

[0085] Prohibited disclosure includes: data that, if disclosed, would endanger national security, public safety, economic security, or social stability; data that involves commercial secrets or personal privacy; data that is prohibited from disclosure due to data acquisition agreements or intellectual property protection; and data that is prohibited from disclosure by laws and regulations. This type of public data should be labeled as non-operational data.

[0086] Restricted access includes: data involving commercial secrets or personal privacy, where the specific citizen, legal person, or other organization agrees to open data and is not prohibited by laws or regulations; data where opening data will severely squeeze public infrastructure resources and affect the efficiency of public data processing; data where the security risks of opening data are difficult to assess; and data that has been legally desensitized and prohibited from opening. This type of data can be labeled as conditional operational data.

[0087] Unconditionally open data includes: all public data except for prohibited and restricted public data; and public data from prohibited and restricted public data that has undergone desensitization. This type of data can be labeled as unconditionally operational data.

[0088] Preferably, the public data authorization and approval process includes:

[0089] Step B1: The government big data platform receives the application, and the system automatically determines whether the public data requested has authorization records for the industry field and application scenario.

[0090] If yes, then go to step B2.

[0091] If not, go to step B3.

[0092] In step B2, the big data management department determines whether repeated authorization is required from the public data providing department based on the application purpose.

[0093] If not, the government big data platform system will automatically approve and file it.

[0094] If yes, then go to step B3.

[0095] In step B3, the department providing the public data determines whether to authorize.

[0096] Example 2, based on Example 1, proposes a public data circulation and utilization system, the system comprising:

[0097] Government Big Data Platform: used to store public data and push metadata information of operational public data to the public data authorization operation platform through the public data labeling process; the government big data platform also pushes change information of pushed data, including editing and delisting, to the public data authorization operation platform in real time through a one-way messaging mechanism.

[0098] Public Data Authorization Operation Platform: This platform receives metadata information pushed by the government big data platform and allows data demanders to determine whether the required public data is unconditionally operational. If not, they submit an application to the government big data platform. The public data authorization operation platform provides the following functions:

[0099] Authorization operation management: manage the entire process of data authorization;

[0100] Data resource management: manage metadata information of public data;

[0101] Data product services: providing data products and services based on authorized data;

[0102] Support services: Provide technical support to data managers, data providers, and data application units.

[0103] Trusted Data Space: This is used to provide a secure environment for data use after the data demander obtains authorization, ensuring that the original data does not leave the domain and that the data is available but not visible.

[0104] Data provider: Responsible for classifying and grading public data on the government big data platform, and making authorization judgments on applications based on the public data authorization and approval process.

[0105] Public data metadata information includes data name, data description information, data providing department, data item information, data generation frequency, data generation method, data structured characteristics, data storage method and open conditions, and the data item information contains different detailed information depending on the data type.

[0106] The public data authorization approval process includes the following steps:

[0107] Receiving applications: The government big data platform receives applications from data demanders;

[0108] Automatic judgment: The system automatically determines whether the public data requested has authorization records for the corresponding industry fields and application scenarios;

[0109] Repeated authorization judgment: If there is an authorization record, the big data management department will determine whether repeated authorization is required based on the intended use;

[0110] Authorization decision: If repeated authorization is not required, the system will automatically approve and file it; otherwise, the public data provider will decide whether to authorize it.

[0111] While embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions, and variations may be made to these embodiments without departing from the principles and spirit of the invention, and that the scope of the invention is defined by the appended claims and their equivalents.

Claims

1. A method for circulating and using public data, characterized by: The method comprises the following steps: S1: The government big data platform pushes metadata information of public data that can be used for operations to the public data authorization operation platform through the public data labeling process; S2: The data demander determines whether the required public data is unconditionally operated on the public data authorization operation platform. If so, it is used directly; if not, it proceeds to step S3; S3: The demander submits the required public data application to the government big data platform on the public data authorization operation platform; S4: The data provider determines whether the required public data is authorized through the public data authorization and approval process on the government big data platform. If not, the process returns to step S2; if so, the process proceeds to step S5; S5: The demander uses authorized data in the trusted data space, ensuring that the original data does not leave the domain and the data is available but not visible; The public data labeling process includes: A1: The big data regulatory department shall formulate the classification and grading standards for public data on the government big data platform; A2: The big data regulatory department issues classification and grading standards to each public data provider, and each data provider classifies and grades public data; A3: Each data provider labels the data based on the classification and grading results to determine whether it can be used for public data operations; A4: Determine whether the data that can be used for operations can be used for operations without authorization, and label it as unconditional operation or conditional operation accordingly; A5: The government big data platform synchronizes metadata information of operational public data to the public data authorization operation platform; The public data authorization approval process includes: B1: The government big data platform receives an application, and the system automatically determines whether the requested public data has authorization records for its industry field and application scenario; B2: If there is an authorization record, the big data authority will determine whether the public data provider department needs to re-authorize based on the application purpose. If not, the system will automatically approve and file the application. If yes, proceed to step B3. B3: If there is no authorization record or repeated authorization is required, the department providing the public data will determine whether to authorize it.

2. The method for circulating and using public data according to claim 1, characterized in that: The government big data platform uses a one-way messaging mechanism to push metadata information of operational public data to the public data authorization operation platform, and supports real-time push of change information.

3. The method for circulating and using public data according to claim 1, characterized in that: The public data authorization operation platform provides full-process services for data authorization development and operation, including authorization operation management, data resource management, data product services, and supporting service functions, while ensuring that "original data does not leave the domain and data is available but not visible".

4. A public data circulation and utilization system according to the method for circulating and utilizing public data according to any one of claims 1 to 3, characterized in that: The system comprises: Government Big Data Platform: used to store public data and push metadata information of operational public data to the public data authorization operation platform through the public data labeling process; Public Data Authorization Operation Platform: used to receive metadata information pushed by the government big data platform and allow data demanders to determine whether the required public data can be operated unconditionally. If not, they submit an application to the government big data platform; Trusted Data Space: This is used to provide a secure environment for data use after the data demander obtains authorization, ensuring that the original data does not leave the domain and that the data is available but not visible. Data providers: Responsible for classifying and grading public data on the government big data platform, and making authorization decisions based on the public data authorization and approval process; Public data metadata information includes data name, data description information, data providing department, data item information, data generation frequency, data generation method, data structured characteristics, data storage method and open conditions, and data item information contains different detailed information depending on the data type; The public data authorization approval process includes the following steps: Receiving applications: The government big data platform receives applications from data demanders; Automatic judgment: The system automatically determines whether the public data requested has authorization records for the corresponding industry fields and application scenarios; Repeated authorization judgment: If there is an authorization record, the big data management department will determine whether repeated authorization is required based on the intended use; Authorization decision: If repeated authorization is not required, the system will automatically approve and file it; otherwise, the public data provider will decide whether to authorize it.

5. A public data circulation and utilization system according to claim 4, characterized in that: The government big data platform also pushes real-time change information of pushed data, including editing and removal, to the public data authorization operation platform through a one-way messaging mechanism.

6. A public data circulation and utilization system according to claim 4, characterized in that: The public data authorization operation platform provides the following functions: Authorization operation management: manage the entire process of data authorization; Data resource management: manage metadata information of public data; Data product services: providing data products and services based on authorized data; Support services: Provide technical support to data managers, data providers, and data application units.

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