A government information resource sharing method and system based on data integration management

Abstract

The present invention provides a government information resource sharing method and system based on data integration governance, which belongs to the field of data processing technology. The government information resource sharing method based on data integration governance includes: extracting original government data in different formats: formulating data standards, maintaining data dictionaries; data modeling; quality inspection; data processing; resource cataloging and data asset binding; publishing resource catalogs, and applicants apply for and use corresponding data assets in the resource catalog based on access rights and usage rights. The government information resource sharing system based on data integration governance includes: collection and storage modules, resource binding modules, and publishing and sharing modules. The present invention effectively solves the problem of data islands by realizing the full collection of original government data resources in different formats and the full unification of data exports, forming high-quality, consistent, reliable and valuable data assets, and finally realizing government resource sharing in the form of data services.

Description

Technical Field

[0001] The present invention relates to the field of data processing technology, and in particular to a government information resource sharing method and system based on data integration management. Background Art

[0002] With the rapid development of information technology, e-government has become an important means of modern government management. E-government uses information technology to achieve the goals of internal government information sharing, improving government work efficiency, optimizing public services, and strengthening interaction between the government and the public.

[0003] However, the capabilities accumulated through long-term e-government construction are fragmented and scattered across various systems. Chimney-style systems for designated services can play a huge role in single-domain single-item services, but due to the low degree of reuse of data resources and business capabilities, they are data islands from the perspective of service chains and value chains. Although mobile terminals, self-media platforms, message boards, etc. can provide channels for the government to obtain original user feedback data and information, and can also accumulate a large amount of data in the process of participating in urban governance, due to the lack of effective application mechanisms, when data is needed for decision-making, it can only directly face massive amounts of original government data, which imposes a serious burden on the application of data resources for various entities in the ecosystem, and even makes them lost in the data, making it difficult to effectively play the role that data resources should play in improving the diversity and personalization of services, and improving the quality of market and public participation.

[0004] On the other hand, the databases and data formats used by different government departments may vary, making it difficult to directly share or integrate data. The lack of unified data standards makes cross-departmental data docking and interoperability difficult. Summary of the invention

[0005] The present invention provides a method and system for sharing government information resources based on data integration management to solve the problem that existing e-government data resources are not well utilized and difficult to integrate. The present invention effectively solves the problem of data islands by realizing the full collection of original government data resources in different formats and the full unification of data exports. At the same time, the present invention transforms the original government data collected by data integration into high-quality, consistent and reliable data assets, making the original government data a form of business demand, and turning the original government data that originally had no value into assets valuable to the business, and finally realizing the sharing of government resources in the form of data services.

[0006] The technical solution adopted by the present invention is:

[0007] A government information resource sharing method based on data integration governance includes the following steps:

[0008] Step S1, extracting original government data of different formats from the e-government system through data integration, and storing the original government data in an original government database to form a target data source; wherein the data integration includes whole database integration, whole table integration or file synchronization;

[0009] Step S2, configuring standard business attributes, technical attributes and management attributes, formulating data standards based on the business attributes, technical attributes and management attributes; at the same time, formulating a data dictionary and maintaining the name of the data dictionary and its corresponding number; the data dictionary is used to define and describe all data elements and their attributes;

[0010] Step S3, performing data modeling on the target data source based on the data standard, creating and storing a data table according to actual needs;

[0011] Step S4, select part or all of the data tables as quality inspection objects according to actual needs, and set corresponding quality inspection rules for the quality inspection objects; configure a quality inspection model, and the quality inspection model calls the corresponding data dictionary and the quality inspection rules to perform quality inspection on part or all of the quality inspection objects, and obtain qualified data after the quality inspection passes;

[0012] Step S5, configuring the data flow by dragging and dropping rules and performing data processing on the qualified data, realizing the processing and analysis of the data flow to obtain data assets, configuring the basic information of the data assets; the basic information includes the asset name and the department to which it belongs; and classifying the data assets according to the basic information;

[0013] Step S6, cataloging resources based on the classified data assets to form a resource directory; binding the data assets of each category to the corresponding directory items in the resource directory one by one, and configuring corresponding access rights and usage rights;

[0014] Step S7: publish the resource catalog, and the applicant applies for and uses the corresponding data assets in the resource catalog based on the access rights and the use rights.

[0015] Furthermore, in step S1, the specific process of the whole database synchronization is: first configure the data source information, then configure the table name conversion rules and the synchronization mode, the writing mode and the table fault tolerance data, and finally select the whole database or select multiple tables in the database to synchronize and collect and store them in the original government database; wherein the synchronization mode is full synchronization or incremental synchronization; the writing mode is overwrite or append;

[0016] The specific process of the whole table synchronization is: first, the data source information needs to be configured, then the table fault tolerance configuration information is configured, and finally a data table is selected for collection and storage in the original government database;

[0017] The specific process of file synchronization is: manually uploading files or using FTP to collect file sources to collect files and store them in the original government database.

[0018] Furthermore, in step S2, the business attributes include the Chinese name, standard alias, English name, business rules, business definition, definition basis, value range, standard source, related standard name and related standard number of the data standard;

[0019] The technical attributes include data type, data length, measurement unit, authoritative system, and data format dimension;

[0020] The management attributes include management department, management personnel, user department and user personnel.

[0021] Furthermore, in step S3, the data modeling supports the creation of new logical tables and fact tables, as well as the generation of physical tables or associated physical tables; wherein the logical tables include entity attributes, data types, and relationships between entities; the fact tables are tables for storing quantitative data of business processes; and the physical tables or the associated material tables contain specific storage details.

[0022] Furthermore, in step S4, the quality inspection model is also configured with quality inspection frequency and quality inspection time.

[0023] Furthermore, in step S4, after the quality inspection model completes the quality inspection of the quality inspection object, a quality inspection report is generated; the quality inspection report includes a comprehensive quality score, a score for each quality inspection object, and abnormal data.

[0024] Furthermore, in the step S4, a quality inspection work order is initiated for the abnormal data, and the quality inspection work order is sent to relevant responsible persons; the quality inspection work order describes the relevant content of the problems generated by the quality inspection object during the quality inspection process.

[0025] Furthermore, in step S5, data processing of the qualified data includes data cleaning, data conversion and data capture.

[0026] Furthermore, in step S5, the data assets create an API before or simultaneously with classification to provide data service support; wherein, the method of creating the API is zero-code mode, free SQL mode or registered API mode; the zero-code mode means that the API can be generated by simply checking table fields without coding any code; the free SQL mode means freely writing query SQL to generate an API; the registered API mode means registering existing API services for unified management.

[0027] Based on the same inventive concept, the present invention also provides a government information resource sharing system based on data integration management to implement the government information resource sharing method based on data integration management as described above, including:

[0028] A collection and storage module, which is used to extract original government data in different formats from the e-government system through data integration, and store the original government data in the original government database to form a target data source; wherein the data integration includes whole database integration, whole table integration or file synchronization;

[0029] A standard and dictionary configuration module, which is used to configure the business attributes, technical attributes and management attributes of the standard, formulate data standards based on the business attributes, technical attributes and management attributes; at the same time, formulate a data dictionary and maintain the name of the data dictionary and its corresponding number; the data dictionary is used to define and describe all data elements and their attributes;

[0030] A data modeling module, the data modeling module is used to perform data modeling on the target data source based on the data standard, and to create and store data tables according to actual needs;

[0031] A quality inspection module, which is used to select part or all of the data tables as quality inspection objects according to actual needs, and set corresponding quality inspection rules for the quality inspection objects; configure a quality inspection model, and the quality inspection model calls the corresponding data dictionary and the quality inspection rules to perform quality inspection on part or all of the quality inspection objects, and obtain qualified data after the quality inspection passes;

[0032] A data processing and classification module, which is used to configure data flow by dragging and dropping rules and perform data processing on the qualified data, so as to obtain data assets by processing and analyzing the data flow and configure basic information of the data assets; the basic information includes the asset name and the department to which it belongs; and the data assets are classified according to the basic information;

[0033] A resource binding module, the resource binding module is used to catalog resources based on the classified data assets to form a resource directory; bind the data assets of each category to the corresponding directory items in the resource directory one by one, and configure corresponding access rights and usage rights;

[0034] A publishing and sharing module is used to publish the resource directory, and the applicant applies for and uses the corresponding data assets in the resource directory based on the access rights and the use rights.

[0035] The beneficial effects of the present invention are:

[0036] The present invention provides a government information resource sharing method and system based on data integration governance, which effectively solves the data island problem by realizing the full collection of original government data resources in different formats and the full unification of data exports. At the same time, the present invention transforms the original government data governance collected by data integration into high-quality, consistent and reliable data assets, making the original government data a form of business demand, and turning the original government data that originally had no value into assets valuable to the business, and finally realizing government resource sharing in the form of data services. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0038] Figure 1 This is a flow chart of the government information resource sharing method based on data integration governance in this embodiment. DETAILED DESCRIPTION

[0039] The disclosure below provides many different embodiments or examples to realize different structures of the present invention. In order to simplify the disclosure of the present invention, the parts and settings of specific examples are described below. Of course, they are only examples, and the purpose is not to limit the present invention.

[0040] The embodiments of the invention are described in detail below with reference to the accompanying drawings.

[0041] Example 1

[0042] A government information resource sharing method based on data integration governance, the process is as follows: Figure 1 The government information resource sharing method based on data integration governance includes the following steps:

[0043] A government information resource sharing method based on data integration governance includes the following steps:

[0044] Step S1, extracting original government data of different formats from the e-government system through data integration, and storing the original government data in the original government database to form a target data source; wherein the data integration includes whole database integration, whole table integration or file synchronization.

[0045] Among them, the formats of the original government data include: xls, xml, json, csv, rdf, etc.

[0046] The specific process of the whole database synchronization is: first configure the data source information, then configure the table name conversion rules and the synchronization mode, writing mode and table fault tolerance data, and finally select the whole database or select multiple tables in the database to synchronize the collection and store them in the original government database; wherein, the synchronization mode is full synchronization or incremental synchronization; the writing mode is overwrite or append. The data source information refers to the place where the original government data is extracted, such as a database, file system, API (Application Programming Interface) or any other place where data is stored. The full synchronization refers to copying the entire data set from the source data source to the target data source; the incremental synchronization refers to copying only the data that has changed (added, modified, deleted) since the last synchronization from the source data source to the target data source. Overwrite refers to replacing the existing data with new data, that is, the existing data will be deleted or overwritten, and the new data will replace it; append refers to adding new data to the end of the existing data without deleting or replacing the existing data, so that the new data and the old data will exist at the same time.

[0047] The specific process of the whole table synchronization is: first configure the data source information, then configure the table fault tolerance configuration information, and finally select a data table to collect and store it in the original government database.

[0048] The specific process of file synchronization is: manually uploading files or using FTP (File Transfer Protocol) to collect files from the source and store them in the original government affairs database.

[0049] Step S2, configure standard business attributes, technical attributes and management attributes, and formulate data standards based on the business attributes, technical attributes and management attributes; at the same time, formulate a data dictionary and maintain the name of the data dictionary and its corresponding number; the data dictionary is used to define and describe all data elements and their attributes.

[0050] The business attributes include the Chinese name, standard alias, English name, business rules, business definition, definition basis, value range, standard source, related standard name and related standard number of the data standard. The technical attributes include data type, data length, measurement unit, authoritative system, data format dimension. The management attributes include management department, management personnel, user department and user.

[0051] Step S3, performing data modeling on the target data source based on the data standard, creating and storing a data table according to actual needs.

[0052] The data modeling refers to representing data and its relationships by creating a data model in order to better understand and use the data, and to achieve the conversion from a theoretical table to a specific database table that can be queried in a database. The data modeling supports the creation of new logical tables and fact tables, as well as the generation of physical tables or associated physical tables. Among them, the logical table defines the structure of the data, which includes the attributes of the entity, the data type and the relationship between the entities; the logical table does not involve a specific database system, but focuses more on the relationship and constraints between the data. The fact table refers to a table in the data warehouse architecture used to store quantitative data of business processes. The physical table or the associated material table contains specific storage details, such as the physical structure of the table, indexes, partitioning strategies, etc.

[0053] Step S4, select part or all of the data tables as quality inspection objects according to actual needs, and set corresponding quality inspection rules for the quality inspection objects; configure the quality inspection model, and the quality inspection model calls the corresponding data dictionary and the quality inspection rules to perform quality inspection on part or all of the quality inspection objects, and obtain qualified data after the quality inspection passes.

[0054] The purpose of quality inspection is to check whether the data table is missing or compliant. First, select the quality inspection object that needs to be maintained, that is, select the data table that needs quality inspection, set exclusive quality inspection rules for each quality inspection object, and automatically add the newly added quality inspection rules to the quality inspection rule library. Then configure the quality inspection model, and the quality inspection model can select multiple quality inspection objects for quality inspection. After selecting multiple quality inspection objects for the quality inspection model, it is necessary to select the quality inspection rules that have been configured for each quality inspection object, as well as the data dictionary with the corresponding number. Among them, the quality inspection rules of the quality inspection objects in the quality inspection model are not necessarily all selected, and can be flexibly configured and selected according to actual conditions. In this embodiment, scheduling configuration can also be supported, that is, the quality inspection frequency and time are set for the quality inspection model, and quality inspection is performed according to the scheduling configuration after going online. Once the quality inspection is completed, a quality inspection report is generated, and the quality inspection report includes the comprehensive quality score, the score of each quality inspection object, abnormal data and other contents. At the same time, a quality inspection work order is initiated for the abnormal data, and the quality inspection work order is sent to the relevant responsible person; the quality inspection work order describes the relevant content of the problems generated by the quality inspection object during the quality inspection process. Among them, the abnormal data is the data that fails the quality inspection.

[0055] Step S5, configure the data flow by dragging and dropping, and perform data processing such as data cleaning, data conversion, and data capture on the qualified data, so as to obtain data assets through processing and analysis of the data flow, and configure the basic information of the data assets; the basic information includes the asset name and the department to which it belongs; and classify the data assets according to the basic information.

[0056] Normally, a complete data flow requires at least one input source component and one output source component. Multiple processing process components can be added. Each component can be edited and configured, and the components are linked together by connecting lines, which is similar to the configuration process. Scheduling configuration is required. After completing the data flow configuration, it can be put online and run according to the scheduling configuration. Different processing process components are used to process data according to actual conditions. After processing, more useful data can be obtained to increase efficiency. Among them, the input component refers to selecting the table that needs to be processed by the data flow. Configuring the process component, such as configuring the SQL (Structured Query Language) component, refers to processing the data table of the input component according to the SQL written by the process component. Configuring the output component refers to selecting the output data table storage information. The process components include: single-row function components, filtering components, mapping components, aggregation components, SQL components and other basic processing components.

[0057] At the same time, in this embodiment, an API is created before or at the same time as the data assets are classified to provide data service support. Among them, the method of creating the API is zero-code mode, free SQL mode or registered API mode. The zero-code mode means that the API can be generated by simply checking the table fields without coding the code. The free SQL mode means freely writing query SQL to generate API; the registered API mode means registering existing API services for unified management.

[0058] In this embodiment, the data that has undergone the above-mentioned modeling analysis, data quality inspection, and data processing based on data standards can be maintained and formed into its own data assets by generating an API after data support services. Configure the basic information of the data assets, such as the asset name and department to which they belong, and then associate the data resources. The associated data resources can be associated with table resources, interface resources, or link resources.

[0059] Step S6: Catalog resources based on the classified data assets to form a resource directory; bind the data assets of each category to the corresponding directory items in the resource directory one by one, and configure corresponding access rights and usage rights.

[0060] In this embodiment, when cataloging resources, it is necessary to fill in the basic information of the data resource directory, including configuration information such as sharing type and opening type, and then mount the data assets; after the data resource catalog is submitted for review and approval, it can be published to the portal for review and application. Among them, the sharing types include: conditional sharing, unconditional sharing, and non-sharing, which are permission settings for internal personnel to apply for use. The opening types include: conditional opening, unconditional opening, and non-opening, which are permission settings for the public to apply for use.

[0061] Step S7: publish the resource catalog, and the applicant applies for and uses the corresponding data assets in the resource catalog based on the access rights and the use rights.

[0062] In this embodiment, application and use refer to the control of visible resource directories according to the role permissions of the portal login person. After filling in the application content and passing the review, data assets can be downloaded or called. Before applying, the basic information of the resource directory and the evaluation content of this resource directory can be viewed. Applicants can view relevant information about news dynamics when logging in to the portal; fill in the content of the supply and demand system according to actual conditions, and submit applications for required but undisclosed data resources; view the frequently asked questions for communication and interaction and submit feedback and suggestions on resource directories; view the statistical information of the data open portal.

[0063] The government information resource sharing method based on data integration management in this embodiment has the following effects:

[0064] (1) Data integration eliminates data silos between different departments, systems, and applications, making data easier to access and share, which helps smooth information flow within the organization and promotes collaboration and data sharing. Data integration can also avoid storing the same data multiple times, thereby reducing data redundancy and storage costs, because there is only one data source to maintain, and reducing redundancy also helps ensure data consistency. It solves the problem of difficulty in connecting different formats during data collection.

[0065] (2) Government data governance provides high-quality, consistent and reliable data, which helps to better support decision-making. Through clear integration and analysis of data, departments can better understand the needs of the people and improve the quality of products and services.

[0066] (3) The traditional resource directory sharing system only includes the functions of collecting and sharing data. This system supports cleaning, fusion, and crawling of the collected data according to actual needs, making the shared data more refined, higher quality, and higher value.

[0067] In this implementation, a government information resource sharing system based on data integration governance is also provided to implement the government information resource sharing method based on data integration governance as described above. The government information resource sharing system based on data integration governance includes: a collection and storage module, a standard and dictionary configuration module, a data modeling module, a quality inspection module, a data processing and classification module, a resource binding module, and a publishing and sharing module.

[0068] Among them, the acquisition and storage module is used to extract original government data of different formats from the e-government system through data integration, and store the original government data in the original government database to form a target data source; wherein the data integration includes whole database integration, whole table integration or file synchronization. The standard and dictionary configuration module is used to configure the business attributes, technical attributes and management attributes of the standard, and formulate data standards based on the business attributes, technical attributes and management attributes; at the same time, formulate a data dictionary and maintain the name of the data dictionary and its corresponding number; the data dictionary is used to define and describe all data elements and their attributes. The data modeling module is used to perform data modeling on the target data source based on the data standard, create and store data tables according to actual needs. The quality inspection module is used to select part or all of the data tables as quality inspection objects according to actual needs, and set corresponding quality inspection rules for the quality inspection objects; configure the quality inspection model, and the quality inspection model calls the corresponding data dictionary and the quality inspection rules to perform quality inspection on part or all of the quality inspection objects, and obtain qualified data after the quality inspection passes. The data processing and classification module is used to configure the data flow and perform data processing on the qualified data by dragging and dropping, so as to process and analyze the data flow to obtain data assets and configure the basic information of the data assets; the basic information includes the asset name and the department to which it belongs; the data assets are classified according to the basic information. The resource binding module is used to catalog resources based on the classified data assets to form a resource directory; the data assets of each category are bound one by one to the corresponding directory items in the resource directory, and the corresponding access rights and usage rights are configured. The publishing and sharing module is used to publish the resource directory, and the applicant applies for and uses the corresponding data assets in the resource directory based on the access rights and the usage rights.

Claims

1. A government information resource sharing method based on data integration management, characterized in that: The following steps are involved: Step S1, extracting original government data of different formats from the e-government system through data integration, and storing the original government data in an original government database to form a target data source; wherein the data integration includes whole database integration, whole table integration or file synchronization; Step S2, configuring standard business attributes, technical attributes and management attributes, formulating data standards based on the business attributes, technical attributes and management attributes; at the same time, formulating a data dictionary and maintaining the name of the data dictionary and its corresponding number; the data dictionary is used to define and describe all data elements and their attributes; Step S3, performing data modeling on the target data source based on the data standard, creating and storing a data table according to actual needs; Step S4, select part or all of the data tables as quality inspection objects according to actual needs, and set corresponding quality inspection rules for the quality inspection objects; configure a quality inspection model, and the quality inspection model calls the corresponding data dictionary and the quality inspection rules to perform quality inspection on part or all of the quality inspection objects, and obtain qualified data after the quality inspection passes; Step S5, configuring the data flow by dragging and dropping rules and performing data processing on the qualified data, realizing the processing and analysis of the data flow to obtain data assets, configuring the basic information of the data assets; the basic information includes the asset name and the department to which it belongs; and classifying the data assets according to the basic information; Step S6, cataloging resources based on the classified data assets to form a resource directory; binding the data assets of each category to the corresponding directory items in the resource directory one by one, and configuring corresponding access rights and usage rights; Step S7: publish the resource catalog, and the applicant applies for and uses the corresponding data assets in the resource catalog based on the access rights and the use rights.

2. According to claim 1, the government information resource sharing method based on data integration management is characterized in that: In step S1, the specific process of the whole database synchronization is: first configure the data source information, then configure the table name conversion rules and the synchronization mode, writing mode and table fault tolerance data, and finally select the whole database or select multiple tables in the database for synchronization to collect and store in the original government database; wherein the synchronization mode is full synchronization or incremental synchronization; the writing mode is overwrite or append; The specific process of the whole table synchronization is: first, the data source information needs to be configured, then the table fault tolerance configuration information is configured, and finally a data table is selected for collection and storage in the original government database; The specific process of file synchronization is: manually uploading files or using FTP to collect file sources to collect files and store them in the original government database.

3. The government information resource sharing method based on data integration management according to claim 1 is characterized in that: In step S2, the business attributes include the Chinese name, standard alias, English name, business rules, business definition, definition basis, value range, standard source, related standard name and related standard number of the data standard; The technical attributes include data type, data length, measurement unit, authoritative system, and data format dimension; The management attributes include management department, management personnel, user department and user personnel.

4. The government information resource sharing method based on data integration management according to claim 1 is characterized in that: In step S3, the data modeling supports the creation of new logical tables and fact tables, as well as the generation of physical tables or associated physical tables; wherein the logical table includes entity attributes, data types and relationships between entities; the fact table is a table for storing quantitative data of business processes; and the physical table or the associated material table contains specific storage details.

5. The government information resource sharing method based on data integration management according to claim 1 is characterized in that: In step S4, the quality inspection model is also configured with quality inspection frequency and quality inspection time.

6. The government information resource sharing method based on data integration management according to claim 1 or 5 is characterized in that: In step S4, after the quality inspection model completes the quality inspection of the quality inspection object, a quality inspection report is generated; the quality inspection report includes a comprehensive quality score, a score for each quality inspection object, and abnormal data.

7. The government information resource sharing method based on data integration management according to claim 1 is characterized in that: In the step S4, a quality inspection work order is initiated for the abnormal data, and the quality inspection work order is sent to the relevant responsible person; the quality inspection work order describes the relevant content of the problems generated by the quality inspection object during the quality inspection process.

8. The government information resource sharing method based on data integration management according to claim 1 is characterized in that: In step S5, the qualified data is processed including data cleaning, data conversion and data capture.

9. The government information resource sharing method based on data integration management according to claim 1 or 8 is characterized in that: In the step S5, the data assets are classified before or simultaneously with the creation of APIs to provide data service support; wherein, the API creation method is zero-code mode, free SQL mode or registered API mode; the zero-code mode means that no coding is required, and the API can be generated by simply checking the table fields; the free SQL mode means freely writing query SQL to generate API; the registered API mode means registering existing API services for unified management.

10. A government information resource sharing system based on data integration management, for implementing the government information resource sharing method based on data integration management as described in any one of claims 1 to 9, characterized in that: include: A collection and storage module, which is used to extract original government data in different formats from the e-government system through data integration, and store the original government data in the original government database to form a target data source; wherein the data integration includes whole database integration, whole table integration or file synchronization; A standard and dictionary configuration module, which is used to configure the business attributes, technical attributes and management attributes of the standard, formulate data standards based on the business attributes, technical attributes and management attributes; at the same time, formulate a data dictionary and maintain the name of the data dictionary and its corresponding number; the data dictionary is used to define and describe all data elements and their attributes; A data modeling module, the data modeling module is used to perform data modeling on the target data source based on the data standard, and to create and store data tables according to actual needs; A quality inspection module, which is used to select part or all of the data tables as quality inspection objects according to actual needs, and set corresponding quality inspection rules for the quality inspection objects; configure a quality inspection model, and the quality inspection model calls the corresponding data dictionary and the quality inspection rules to perform quality inspection on part or all of the quality inspection objects, and obtain qualified data after the quality inspection passes; A data processing and classification module, which is used to configure data flow by dragging and dropping rules and perform data processing on the qualified data, so as to obtain data assets by processing and analyzing the data flow and configure basic information of the data assets; the basic information includes the asset name and the department to which it belongs; and the data assets are classified according to the basic information; A resource binding module, the resource binding module is used to catalog resources based on the classified data assets to form a resource directory; bind the data assets of each category to the corresponding directory items in the resource directory one by one, and configure corresponding access rights and usage rights; A publishing and sharing module is used to publish the resource directory, and the applicant applies for and uses the corresponding data assets in the resource directory based on the access rights and the use rights.

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