Government affair data classification and grading method
By constructing a three-level classification system and a four-level hierarchical method for government data, the problem of inconsistent classification standards in government data management has been solved, achieving clearer data classification and more precise hierarchical classification, and improving the efficiency of data security protection and sharing.
Patent Information
- Application Number
- CN202511441755.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-10-10
- Publication Date
- 2026-01-20
AI Technical Summary
The current management of government data suffers from inconsistent classification standards and vague hierarchical criteria, resulting in chaotic data classification and a lack of precision in security protection.
By sorting out the catalog of government data resources, a three-level classification system based on data usage is constructed, and a four-level classification is determined in combination with security attributes. The classification and classification ledger is then output to achieve clear classification and precise classification of government data.
It has improved the standardization and accuracy of government data management, provided standardized support for data security protection and efficient sharing, clarified data security responsibilities and the basis for data transfer, and reduced duplication of work.
Smart Images
Figure CN121365145A_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The application discloses a government affair data classification and grading method, and relates to the technical field of data management. BACKGROUND
[0002] Government affair data classification and grading is the core foundation of digital government construction, which is derived from three aspects of demand: first, data security risk intensifies, with the acceleration of digital government process, sensitive data leakage and abuse incidents occur frequently, and it is urgent to establish a protection system; second, data sharing demand surges, cross-department cooperation needs to clarify data permission boundaries to avoid "not dare to share" or "disorderly sharing"; third, regulations drive, clear requirements to establish data classification and grading system. However, in the existing government affair data management, there are problems such as non-uniform classification standards, fuzzy grading basis, which easily lead to data classification confusion and lack of precision in security protection. SUMMARY
[0003] The application provides a government affair data classification and grading method to solve the problems of non-uniform classification standards, fuzzy grading basis in the existing government affair data management, which leads to data classification confusion and lack of precision in security protection. By sorting out the government affair data resource directory, a three-level classification system based on data usage is constructed, combined with the determination of four-level grading according to the impact of security attribute destruction, and finally the classification and grading account is output, which realizes the clear classification and accurate grading of government affair data, provides standardized support for data security protection, efficient sharing and utilization, and improves the overall efficiency of government affair data management.
[0004] The specific scheme provided by the application is as follows:
[0005] The application provides a government affair data classification and grading method, which comprises the following steps:
[0006] Step 1: Sort out the government affair data resource directory, the contents of which include the name of the data resource directory, the department to which it belongs, the abstract of the data resource directory, the field name and example data;
[0007] Step 2: Classify government affair data: according to the attributes or characteristics of government affair data, the government affair data is classified and categorized according to the preset rules and methods, and a classification system and arrangement order are established;
[0008] Step 3: Grade government affair data: according to the impact object and impact degree of the security attribute destruction of government affair data, the government affair data is divided into four security levels, from high to low, which are four, three, two and one, and triggering any one level reaches the corresponding minimum security level;
[0009] Step 4: Output the government affair data classification and grading account: based on the government affair data resource basic account and the established data classification and grading standard, output the government affair data classification and grading account.
[0010] Further, in step 1 of the government data classification and grading method, when the name of the data resource directory is combed, the standardized naming rules are adopted, so that the name directly reflects the core business attribute and content category of the data resource, and is used for different department staff to quickly identify the core direction of the data resource through the name;
[0011] When the department is combed, the subject of the data resource and the management responsibility department are determined, and the department or business unit is marked, and the correlation between the departments is recorded, which is used for the subsequent classification and grading process and the interface requirement of the related department, and the data right and responsibility boundary is determined,
[0012] When the data resource directory summary is combed, the core content, production scene, business use and data coverage range of the data resource are summarized, which is used for the staff to master the core value and application scene of the data resource,
[0013] When the field name is combed, all data fields contained in the data resource are listed, so that the field naming conforms to the national or industry data standard, and the same name different meaning or different name same meaning is avoided, and the data type of each field is marked, which is used for providing a basis for subsequent data classification dimension division,
[0014] When the example data is combed, 1-3 example data conforming to the actual business scene are provided for each data field, the actual content form of the data field is shown through the example data, which is used to help the staff to understand the data resource characteristics, and provide a reference for the data sensitivity judgment in the subsequent grading evaluation.
[0015] Further, in step 2 of the government data classification and grading method, the government data is classified according to the preset rule, and in the preset rule, the classification dimension is divided into three levels based on the use of the government data: the first level is divided into basic data and theme data; the second level is refined on the basis of the first level, and the second level of the basic data includes population basic data, legal person unit basic data, natural resource and spatial geographic basic data, social credit basic data and electronic certificate basic data; the second level of the theme data includes public service, health guarantee, social security, food safety, drug safety, safety production, price supervision, energy safety, credit system, urban and rural construction, community governance, ecological environment and emergency stability; the third level is refined on the basis of the second level.
[0016] Further, in step 4 of the government data classification and grading method, the output account adopts a table form, which includes the data resource directory name, the source department, the first classification, the second classification, the third classification and the security level.
[0017] The application also provides a government data classification and grading device, which comprises a combed module, a classification module, a grading module and an output module,
[0018] The carding module carding government data resource directory, the carding content includes data resource directory name, the department to which it belongs, data resource directory abstract, field name, example data;
[0019] The classification module classifies government data: according to the attributes or characteristics of government data, government data is classified and categorized according to preset rules and methods, and a classification system and arrangement order are established;
[0020] The grading module classifies government data: according to the impact object and impact degree of government data security attributes being destroyed, government data is divided into four security levels, from high to low, four, three, two and one, and triggering any one level reaches the corresponding minimum security level;
[0021] The output module outputs the government data classification and grading ledger: based on the government data resource basic ledger and the established data classification and grading standard, the government data classification and grading ledger is output.
[0022] Further, when the carding module of the government data classification and grading device carding data resource directory name, standardized naming rules are adopted, so that the name intuitively reflects the core business attributes and content category of the data resource, and is used for different department staff to quickly identify the core direction of the data resource through the name;
[0023] When carding the department to which it belongs, the data resource generation subject and management responsibility department are clear, and the department is marked to a specific office or business unit, and the correlation between data sharing between departments is recorded, which is used for subsequent classification and grading process and related department docking demand, and the data right and responsibility boundary is clear,
[0024] When carding data resource directory abstract, the core content, production scene, business use and data coverage of the data resource are summarized, which is used for staff to master the core value and application scene of the data resource,
[0025] When carding the field name, all data fields contained in the data resource are listed, so that the field naming conforms to the national or industry data standard, and the same name different meanings or different name same meanings are avoided, and the data type of each field is marked, which is used for providing basis for subsequent data classification dimension division,
[0026] When carding example data, 1-3 example data conforming to the actual business scene are provided for each data field, the actual content form of the data field is shown through the example data, which is used to help the staff understand the data resource characteristics, and provide a reference for the data sensitivity judgment in the subsequent grading evaluation.
[0027] Further, when the classification module of the government affair data classification and grading device classifies government affair data according to the preset rules, the classification dimension based on the use of government affair data in the preset rules is divided into three levels: the first-level category is divided into basic data and theme data; the second-level category is refined on the basis of the first-level category, and the second-level category under the basic data includes population basic data, legal person unit basic data, natural resource and spatial geographic basic data, social credit basic data and electronic license basic data; the second-level category under the theme data includes public service, health guarantee, social security, food safety, drug safety, safety production, price supervision, energy safety, credit system, urban and rural construction, community governance, ecological environment and emergency stability; and the third-level category is refined on the basis of the second-level category.
[0028] Further, the output module of the government affair data classification and grading device outputs the account in the form of a table, which includes the data resource directory name, the source department, the first-level classification, the second-level classification, the third-level classification and the security level.
[0029] The present application has the advantages of:
[0030] The present application can accurately divide government affair data through a three-level classification system, and can refine basic data and theme data to the third-level category, so as to solve the existing classification ambiguity, unify the cross-department standard, provide a clear framework for data sharing, and improve the standardization and accuracy of government affair data management.
[0031] According to the four-level classification based on the security influence, the data security responsibility and the flow basis are determined in combination with the standardized account, the whole life cycle safety control is strengthened, the repeated labor is reduced, and reliable data support is provided for cross-department cooperation and scientific decision-making. BRIEF DESCRIPTION OF DRAWINGS
[0032] Figure 1 is a schematic diagram of the loss process of the method algorithm of the present application. DETAILED DESCRIPTION
[0033] The present application will be further described below in combination with the drawings and specific embodiments, so that those skilled in the art can better understand the present application and implement it, but the embodiments are not limiting to the present application.
[0034] Embodiment 1
[0035] The present application provides a government affair data classification and grading method, which comprises:
[0036] Step 1: comb government affair data resource directory, and the contents of the combing include the name of the data resource directory, the department to which the data resource directory belongs, the abstract of the data resource directory, the field name and the example data.
[0037] The specific content to be compiled should cover the following key dimensions, and the information in each dimension must be complete and accurate. The process can be referenced as follows:
[0038] Data resource catalog name: Standardized naming rules should be adopted. The name should intuitively reflect the core business attributes and content scope of the data resource, avoid vague descriptions, and ensure that staff from different departments can quickly identify the core content of the data resource through the name.
[0039] Department: Clearly identify the entity that generated the data resources and the department responsible for their management. This should be labeled to the specific department or business unit. At the same time, record the data sharing relationships between departments, such as the primary responsible department and collaborating departments. This will facilitate communication with relevant departments to meet their needs during the subsequent classification and grading process, clarify the boundaries of data rights and responsibilities, and avoid problems such as unclear data ownership and shirking of responsibility.
[0040] Data Resource Catalog Summary: This summary uses concise and precise language to outline the core content, generation scenarios, business uses, and data coverage of data resources, such as time range, geographical range, and target scope. For example, "This catalog covers enterprise registration data within the jurisdiction of XX City from 2020 to 2024, including enterprise names, unified social credit codes, registered addresses, establishment dates, etc., for use in business scenarios such as market supervision and statistical analysis." This helps staff quickly grasp the core value and application scenarios of data resources.
[0041] Field Names: List all data fields included in the data resources. Field names must conform to national or industry data standards to avoid homonyms or homonyms. Also, indicate the data type of each field, such as text, numeric, or date, to provide a basis for the dimensional division of subsequent data classification.
[0042] Example Data: Provide 1-3 example data entries for each data field that conform to actual business scenarios. The example data should balance typicality and confidentiality. Sensitive information can be anonymized, such as replacing the ID number with "110101********1234". The example data will intuitively show the actual content of the data field, helping staff to more accurately understand the characteristics of data resources and providing a reference for data sensitivity judgment in subsequent hierarchical assessments.
[0043] Step 2: Classify government data: Based on the attributes or characteristics of government data, classify and categorize the government data according to preset rules and methods, and establish a classification system and arrangement order.
[0044] Among them, when the government data is classified according to the preset rules, the classification dimension is divided into three levels based on the use of government data in the preset rules: the first level is divided into basic data and theme data; the second level is refined on the basis of the first level, and the second level of the basic data includes population basic data, legal entity basic data, natural resources and spatial geographic basic data, social credit basic data, and electronic license basic data; the second level of the theme data includes public service, health security, social security, food safety, drug safety, safety production, price supervision, energy security, credit system, urban and rural construction, community governance, ecological environment, and emergency stability; the third level is further refined on the basis of the second level. Referring to Tables 1-8.
[0045] Step 3: Government data classification: according to the influence object and influence degree caused by the destruction of the security attribute of government data, the government data is divided into four security levels, from high to low, four levels, three levels, two levels, and one level, and triggering any one level reaches the corresponding minimum security level. Referring to Table 9.
[0046] Step 4: Output government data classification and grading account: based on the government data resource basic account and the established data classification and grading standard, output the government data classification and grading account. The output account adopts a table form, including data resource directory name, source department, first-level classification, second-level classification, third-level classification, and security level.
[0047] Embodiment 2
[0048] The application also provides a government data classification and grading device, which comprises a sorting module, a classification module, a grading module, and an output module,
[0049] The sorting module sorts the government data resource directory, and the sorted content includes the name of the data resource directory, the department to which it belongs, the abstract of the data resource directory, the field name, and the example data;
[0050] The classification module classifies government data: according to the attributes or characteristics of government data, government data is classified and categorized according to preset rules and methods, and a classification system and arrangement order are established;
[0051] The grading module classifies government data: according to the influence object and influence degree caused by the destruction of the security attribute of government data, the government data is divided into four security levels, from high to low, four levels, three levels, two levels, and one level, and triggering any one level reaches the corresponding minimum security level;
[0052] The output module outputs the government data classification and grading account: based on the government data resource basic account and the established data classification and grading standard, output the government data classification and grading account.
[0053] The information interaction, execution process and the like among the modules in the above device are based on the same concept as the method embodiments of the application, and the specific content can be referred to the description in the method embodiments of the application, which will not be repeated here.
[0054] Likewise, the device of the application is beneficial in that:
[0055] The application accurately divides government data through a three-level classification system, and refines basic and theme data to three levels, solves the existing classification ambiguity, unifies the cross-department standard, provides a clear framework for data sharing, and improves the standardization and accuracy of government data management.
[0056] According to the four-level classification of safety impact, the data security responsibility and flow basis are clarified in combination with the standardized account, the whole life cycle safety control is strengthened, the repeated labor is reduced, and reliable data support is provided for cross-department cooperation and scientific decision-making.
[0057] It should be noted that not all steps and modules in the above processes and device structures are necessary, and some steps or modules can be ignored according to actual needs. The execution order of each step is not fixed and can be adjusted as needed. The system structure described in the above embodiments can be a physical structure or a logical structure, that is, some modules can be implemented by the same physical entity, or some modules can be implemented by multiple physical entities, or they can be implemented by some components in multiple independent devices.
[0058] The above-described embodiments are only preferred embodiments of the application, and the protection scope of the application is not limited thereto. Any equivalent replacement or transformation made by those skilled in the art based on the application is within the protection scope of the application. The protection scope of the application is subject to the claims.
[0059] Table 1: Classification of population basic data
[0060]
[0061] Table 2: Classification of legal entity basic data
[0062]
[0063] Table 3: Classification of natural resources and spatial geographic basic data
[0064]
[0065]
[0066] Table 4: Classification of social credit basic data
[0067]
[0068] Table 5 Electronic Passport Basic Data Classification Category Table
[0069]
[0070]
[0071] Table 6 Subject Data Classification Category Table
[0072]
[0073]
[0074] Table 7 Subject Data Classification Category Table (Continued)
[0075]
[0076] Table 8 Subject Data Classification Category Table (Continued Two)
[0077]
[0078] Table 9
[0079]
Claims
1. A method for classifying and grading government data, characterized by Comprise: Step 1: combing the government data resource directory, the contents include data resource directory name, the department, the summary of data resource directory, field name, example data; Step 2: government data classification: according to the attribute or characteristic of government data, the government data is classified and classified according to the preset rules and methods, and the classification system and arrangement order are established; Step 3: government data classification: according to the influence object and influence degree of the security attribute of government data, the government data is divided into four security levels, from high to low, four, three, two, one, triggering any one level reaches the corresponding minimum security level; Step 4: output government data classification and classification account: based on government data resource basic account and established data classification and classification standard, output government data classification and classification account.
2. The method of claim 1, wherein the method further comprises: In step 1, when combing the name of data resource directory, standardized naming rules are adopted, so that the name can intuitively reflect the core business attribute and content category of data resource, which can be used by staff in different departments to quickly identify the core direction of data resource through the name; When combing the department, the main body of data resource and the management responsibility department are clear, and the department is marked to the specific office or business unit, and the correlation between the departments is recorded, which is used for the subsequent classification and classification process and the interface requirement of the related departments, and the data right and responsibility boundary is clear, When combing the summary of data resource directory, the core content, production scene, business use and data coverage of data resource are summarized, which can be used by staff to master the core value and application scene of data resource, When combing the field name, all data fields contained in the data resource are listed, so that the field naming conforms to the national or industry data standard, avoiding the same name or different name, and the data type of each field is marked, which can be used as a basis for subsequent data classification dimension division, When combing the example data, 1-3 example data conforming to the actual business scene are provided for each data field, which can show the actual content form of data field through example data, and can help staff understand the characteristics of data resource, and provide reference for subsequent data sensitivity judgment in classification and evaluation.
3. The method of claim 1, wherein the method further comprises: In step 2, when classifying government data according to the preset rules, the classification dimension is divided into three levels based on the use of government data in the preset rules: the first level is divided into basic data and theme data; The second level is refined on the basis of the first level, and the second level of basic data includes population basic data, legal entity basic data, natural resources and spatial geographic basic data, social credit basic data and electronic certificate basic data; the second level of theme data includes public service, health security, social security, food safety, drug safety, safety production, price supervision, energy security, credit system, urban construction, community governance, ecological environment and emergency stability; The third level is refined on the basis of the second level.
4. The method of claim 1, wherein the method further comprises: The table form is adopted in step 4, which contains data resource directory name, source department, first classification, second classification, third classification and security level.
5. A government data classification grading apparatus characterized by It includes the modules of combing, classification, classification and output, The carding module carding government data resource catalog, the carding content includes data resource catalog name, the department it belongs to, data resource catalog abstract, field name, example data; The classification module classifies government data: according to the attributes or characteristics of government data, government data is classified and categorized according to the preset rules and methods, and a classification system and arrangement order are established; The grading module classifies government data: according to the impact object and impact degree of government data security attributes being destroyed, government data is divided into four security levels, from high to low, four, three, two and one, and triggering any one level reaches the corresponding minimum security level; The output module outputs government data classification and grading account book: based on government data resource basic account book and established data classification and grading standard, government data classification and grading account book is output.
6. The apparatus of claim 5, wherein the apparatus is further configured to: When carding the name of data resource catalog, standardized naming rules are adopted to make the name directly reflect the core business attributes and content category of data resources, which is used for different department staff to quickly identify the core direction of data resources through the name; When carding the department it belongs to, the data resource generation subject and management responsibility department are clear, and the department is marked to the specific office or business unit, and the correlation between data sharing among departments is recorded, which is used for subsequent classification and grading process and related department docking demand, and the data right and responsibility boundary is clear, When carding data resource catalog abstract, the core content, production scene, business purpose and data coverage of data resources are summarized, which is used for staff to master the core value and application scene of data resources, When carding field name, all data fields contained in data resources are listed, so that the field naming conforms to the national or industry data standard, avoiding the same name with different meanings or different names with the same meaning, and the data type of each field is marked, which is used to provide basis for subsequent data classification dimension division, When carding example data, 1-3 example data conforming to actual business scene are provided for each data field, the actual content form of data field is shown through example data, which is used to help staff understand data resource characteristics and provide reference for subsequent data sensitivity judgment in grading evaluation.
7. The government data classification grading device of claim 5, wherein When the classification module classifies government data according to the preset rules, the classification dimension is divided into three levels based on the use of government data in the preset rules: the first level is divided into basic data and theme data; The second level is refined on the basis of the first level, and the second level under basic data includes population basic data, legal person unit basic data, natural resources and spatial geographic basic data, social credit basic data and electronic certificate basic data; the second level under theme data includes public service, health security, social security, food safety, drug safety, safety production, price supervision, energy security, credit system, urban construction, community governance, ecological environment and emergency stability; The third level is refined on the basis of the second level.
8. The government data classification grading device of claim 5, wherein The account book output by the output module adopts table form, including data resource catalog name, source department, first level classification, second level classification, third level classification and security level.