Method and system for realizing data standard management in data circulation field

Abstract

The invention relates to the technical field of data circulation, in particular to a method and a system for realizing data standard management in the field of data circulation, which are used for managing common data standards, providing term standard basic information management and providing code standard content structured management. The method and the system for realizing data standard management in the data circulation field provided by the invention have the beneficial effects that efficient circulation of data resources is promoted, an access party is promoted to supply data according to a data standard, and all parties are ensured to have consistent understanding on data; the core data quality is improved, the platform can perform quality verification on the core data resources according to the data standard, and the core data resources can be circulated after passing the verification; semantic-level data circulation service is achieved, ontology models are standardized in a unified mode, universal-level data semantic association data models are standardized in a unified mode through platform organization, and data resource semantic interconnection and intelligent search service are gradually promoted.

Description

Technical Field

[0001] The present invention relates to the field of data circulation technology, and in particular to a method and system for implementing data standard management in the field of data circulation. Background Art

[0002] With the rapid development of information technology, multi-party data circulation is gradually becoming a trend. From the early single data source to today's cross-platform and cross-industry data integration, data circulation not only improves information transparency, but also promotes scientific decision-making. Driven by technologies such as big data, privacy computing, and blockchain, data circulation will be more efficient and secure in the future, providing strong support for social development and governance.

[0003] However, the current data circulation business management is relatively loose, and the data provided by data providers have different standards. After obtaining the data, it is difficult for the data users to fully realize its value, which greatly reduces the utilization rate of data elements. Most of the existing data circulation platforms on the market only achieve the standard unification of the exchange parties in terms of standard management, and cannot achieve platform-level data standard management. This loose data management can only meet the data circulation needs within the region, and cannot meet the large-scale, semantic-level data exchange needs. Summary of the invention

[0004] The purpose of the present invention is to provide a method and system for implementing data standard management in the field of data circulation, so as to solve the problems raised in the above-mentioned background technology.

[0005] To achieve the above object, the present invention provides the following technical solution: a method for implementing data standard management in the field of data circulation, the method comprising the following steps:

[0006] Management of common data standards, where common data standards are used to standardize data elements and their corresponding data to ensure mutual recognition of information items during data circulation;

[0007] The management of common data standards is further divided into basic standard management and data element standard management. Basic data standards include terminology standards and code standards, and data element standards include general standards, extended standards, and custom standards.

[0008] Provide basic information management of terminology standards, including standard category, standard name, standard status, standard number, issuing unit, issuing time, standard label, and support structured management of terminology standard content, including term number, term classification, term Chinese name, term English name, and term definition;

[0009] Provides structured management of code standard content, including classified and graded codes, category names, category descriptions, and supports nested and associated management of multi-level code standards.

[0010] Preferably, the method further comprises:

[0011] Structural management of data element standard content, specifically providing management capability support for three scenarios: general standards, extended standards, and custom standards;

[0012] General standard management includes the management of identification class attributes, definition class attributes, relationship class attributes, representation class attributes and management class attributes;

[0013] Extended standard management includes additional management of identification class attributes, definition class attributes, representation class attributes, and management class attributes, such as application constraints, value ranges, data formats, measurement units, and quality verification rules;

[0014] Customized standard management supports industry-specific management requirements and conducts industry-customized data element standard management based on the previous types of standard management.

[0015] Preferably, the method further comprises:

[0016] Management of semantic data standards, where semantic data standards are used to remodel and manage data according to ontology concepts and meta-ontologicalize data;

[0017] Provides ontology terminology management, establishes naming conventions for the ontology and terminology standards for its term classification;

[0018] Provides management of relationships between ontology classes, including management of inductive relationships, combined relationships, and associated relationships.

[0019] Preferably, the method further comprises:

[0020] Management of the relationship between ontology classes and data element attributes. Establishing the relationship between ontology classes and the relationship between ontology and data attributes and their data types through the ontology attributes and data attributes in the data element.

[0021] The construction of the semantic associated data model, through the above management, constructs the semantic associated data model of a certain business field, and supports the visual management and version management of the semantic associated data model.

[0022] Preferably, the method further comprises:

[0023] It supports multiple ways to manage and maintain the content of terminology standards and code standards, including manual management of structured content, file import management, intelligent recognition management of imported standard files, ontology code standard import management, etc., and provides version control management functions.

[0024] A system for data standard management in the field of data circulation, and a method for implementing data standard management in the field of data circulation, the system comprising:

[0025] The general data standard management module is used to standardize data elements and their corresponding data to ensure mutual recognition of information items during data circulation; this module is further divided into the basic standard management submodule and the data element standard management submodule;

[0026] Basic standard management submodule, used to manage terminology standards and code standards;

[0027] The data element standard management submodule is used to manage common standards, extended standards and custom standards.

[0028] Preferably, the basic standard management submodule includes:

[0029] The terminology standard management unit is used to manage the basic information of terminology standards, including standard category, standard name, standard status, standard number, issuing unit, issuing time, standard label, and supports structured management of terminology standard content, including term number, term classification, term Chinese name, term English name, and term definition;

[0030] The code standard management unit is used to manage the content structure of the code standard, including the classified and graded codes, category names, and category descriptions, and supports multi-level code standard nested management and association management.

[0031] Preferably, the data element standard management submodule includes:

[0032] A general standard management unit, used to manage identification class attributes, definition class attributes, relationship class attributes, representation class attributes and management class attributes of general standards;

[0033] The extended standard management unit is used to manage the identification attributes, definition attributes, representation attributes and management attributes of the extended standard, including synonymous names, application constraints, value ranges, data formats, measurement units and quality verification rules;

[0034] The custom standard management unit supports industry-customized data element standard management based on the previous types of standard management based on industry-specific management requirements.

[0035] Preferably, the system further comprises: a semantic level data standard management module, which is used to remodel and manage the data according to the ontology concept and to ontologize the data elements; the module comprises:

[0036] Ontology terminology management unit, used to manage the naming conventions of the ontology and the terminology standards of the term classification to which it belongs;

[0037] The ontology inter-class relationship management unit is used to manage the inductive relationship, combination relationship and association relationship between ontology classes;

[0038] The relationship management unit between ontology classes and data element attributes is used to establish the relationship between ontology classes and the relationship between ontology and data attributes and their data types through the ontology attributes and data attributes in the data element;

[0039] The semantic association data model construction unit is used to construct the semantic association data model of a certain business field through the above management, and supports the visual management and version management of the semantic association data model.

[0040] Preferably, the system also includes: a module supporting multiple management methods to support content management and maintenance of terminology standards and code standards, including manual management of structured content, file import management, intelligent recognition management of imported standard files, ontology code standard import management, and other methods, and provides version control management functions to ensure the consistency and traceability of data standards.

[0041] Compared with the prior art, the present invention has the following beneficial effects:

[0042] The implementation method and system of data standard management in the field of data circulation proposed in the present invention promote the efficient circulation of data resources, prompt the access party to provide data according to the data standards, and ensure that all parties have a consistent understanding of the data; improve the quality of core data, the platform can verify the quality of core data resources according to the data standards, and the data can be circulated only after passing the verification; achieve semantic-level data circulation services, unify and standardize the ontology model, the platform organizes unified and standardized general-level data semantic association data models, and gradually promotes the semantic interconnection of data resources and intelligent search services. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] Figure 1 This is a schematic diagram of storage data model management of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose and technical solution of the present invention clearly and completely described, and the advantages more clearly understood, the embodiments of the present invention are further described in detail 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, rather than all of the embodiments, and are only used to explain the embodiments of the present invention, and are not used to limit the embodiments of the present invention. All other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0045] For example, see Figure 1 The present invention provides a technical solution: a method for implementing data standard management in the field of data circulation, the method comprising the following steps:

[0046] Management of common data standards, where common data standards are used to standardize data elements and their corresponding data to ensure mutual recognition of information items during data circulation;

[0047] The management of common data standards is further divided into basic standard management and data element standard management. Basic data standards include terminology standards and code standards, and data element standards include general standards, extended standards, and custom standards.

[0048] Provide basic information management of terminology standards, including standard category, standard name, standard status, standard number, issuing unit, issuing time, standard label, and support structured management of terminology standard content, including term number, term classification, term Chinese name, term English name, and term definition;

[0049] Provides structured management of code standard content, including classified and graded codes, category names, category descriptions, and supports nested and associated management of multi-level code standards.

[0050] Specifically, for common data standards, they are mainly used to standardize data elements and the data corresponding to data elements, and to ensure mutual recognition of information items between both parties during data circulation. The management of common data standards can be divided into basic standard management and data element standard management. Basic data standards include terminology standards and code standards, and data element standards include general standards, extended standards, and custom standards. The management methods for the above standards are as follows:

[0051] (1) Terminology standards: The basic information management of terminology standards includes standard category, standard name, standard status, standard number, issuing unit, publishing time, standard label, etc. The standard status includes under preparation, published, under revision, and abolished. The structured management of terminology standard content includes term number (optional), term classification, term Chinese name, term English name (optional), term definition, etc. The term classification can reference the term definition of the classification, and a term can contain multiple classification schemes. Terminology standard content management supports multiple management and maintenance methods, such as manual management of structured content, file import management, intelligent recognition management of imported standard files, and ontology class code standard import management, as well as version control management.

[0052] (2) Code standards: Code standard content structured management includes the management of classified and graded codes, category names, category descriptions, etc. If complex structured code standards are involved, multi-level code standard nested management and association management are supported. Code standard content management supports multiple methods of management and maintenance, as well as version control management, such as manual management of structured content, file import management, and intelligent recognition management of imported standard files.

[0053] (3) Data element standards: The structured management of data element standard content provides management capability support for three scenarios, including general standards, extended standards, and industry-defined standards management.

[0054] a. General standard management: manageable attributes include: identification attributes: Chinese name, English name, internal identifier, identifier, version; definition attributes: definition, ontology words; relationship attributes: classification scheme, classification scheme value, relationship (derivation relationship / composition relationship / substitution relationship / combination relationship); representation attributes: data type; management attributes: status, management agency, release date;

[0055] b. Extended standard management: manageable attributes include: identification attributes: synonymous name (optional); definition attributes: application constraints; representation attributes: value range, data format, measurement unit; management attributes: quality verification rules;

[0056] c. Customized standard management: Supports data suppliers to conduct industry-customized data element standard management based on industry-specific management requirements, on the basis of the previous types of standard management.

[0057] For semantic-level data standards, they are mainly used to remodel and manage data according to ontology concepts, to ontologize data elements, and to find a reasonable ontology for each data element. For example, the name belongs to the data element of the person ontology. In addition, the data elements in the ontology need to be classified. One type is numerical data elements, which have no life cycle and only represent a numerical attribute, such as a person's age, height, and weight; the other is object-type data elements, whose corresponding data is another ontology, such as a person's birthplace, works, etc. Object-type data elements can be used to establish associations between ontologies to facilitate an overall knowledge graph. The management methods for semantic-level data standards are as follows:

[0058] (1) Ontology terminology management: Terminology standards need to be established for the naming of ontologies, and terminology standards also need to be established for the terminology classifications. For example, the definition standards for terms such as person, student, undergraduate, postgraduate, full-time postgraduate, and part-time postgraduate should be established.

[0059] (2) Management of relationships between ontology classes: The relationships between ontology classes include inductive relationships, composite relationships, and associative relationships. Inductive relationships are managed by managing the classification of ontology terms and establishing reference relationships between term classification standards. One ontology class can have multiple classification schemes. For example, a part-time master's student can be classified as a master's student or an employee. Composite relationships are managed by determining the whole-part relationship between ontology classes. For example, a textbook is a whole, and its parts may include the cover, preface, table of contents, and chapters. A chapter is a whole, and its parts include sections and exercises. Associative relationships are managed by establishing 1-to-1, 1-to-many, and many-to-many association relationships between ontology classes. For example, a teacher can guide multiple graduation projects, and a student can complete one graduation project.

[0060] (3) Management of the relationship between ontology classes and data element attributes: On the one hand, the relationship between ontology classes is established through the ontology attributes in the data element. Ontology classes can establish relationships through multiple ontology attributes. Ontology attributes can be added between ontology classes to manage the relationship between ontology classes. For example: person-place of birth-place, person-place of residence-place; teacher-guidance of graduation project-graduation project. On the other hand, the relationship between ontology and data attributes and their data types is established through the data attributes in the data element. For example: person-date of birth-data type: date type; graduation project-title-data type: character type; graduation project-starting time-data type: date type.

[0061] (4) Semantic association data model: Through the above management, a semantic association data model for a certain business domain is constructed to support visualization and version management of the semantic association data model.

[0062] Embodiment 2, based on Embodiment 1, proposes a system for data standard management in the field of data circulation, which is applied to the implementation method of data standard management in the field of data circulation. The system includes:

[0063] The general data standard management module is used to standardize data elements and their corresponding data to ensure mutual recognition of information items during data circulation; this module is further divided into the basic standard management submodule and the data element standard management submodule;

[0064] The basic standard management submodule is used to manage terminology standards and code standards; it includes:

[0065] The terminology standard management unit is used to manage the basic information of terminology standards, including standard category, standard name, standard status, standard number, issuing unit, issuing time, and standard label, and supports structured management of terminology standard content, including terminology number, terminology classification, terminology Chinese name, terminology English name, and terminology definition; the code standard management unit is used to manage the content structure of code standards, including classification and grading codes, category names, and category descriptions, and supports nested management and association management of multi-level code standards.

[0066] The data element standard management submodule is used to manage common standards, extended standards, and custom standards; it includes:

[0067] The general standard management unit is used to manage the identification class attributes, definition class attributes, relationship class attributes, representation class attributes and management class attributes of general standards; the extended standard management unit is used to manage the identification class attributes, definition class attributes, representation class attributes and management class attributes of extended standards, including synonymous names, application constraints, value ranges, data formats, units of measurement and quality verification rules; the custom standard management unit supports industry-customized data element standard management based on the previous types of standard management based on industry-specific management requirements.

[0068] The system also includes: a semantic-level data standard management module, which is used to remodel and manage data according to ontology concepts and to ontologize data elements; this module includes: an ontology terminology management unit, which is used to manage the naming specifications of the ontology and the terminology standards of the terminology classification; an ontology class relationship management unit, which is used to manage the inductive relationship, combination relationship and association relationship between ontology classes; a relationship management unit between ontology classes and data element attributes, which is used to establish the relationship between ontology classes and the relationship between ontology and data attributes and their data types through the ontology attributes and data attributes in the data element; a semantic association data model construction unit, which is used to construct a semantic association data model for a certain business field through the above management, and supports the visual management and version management of the semantic association data model.

[0069] The system also includes: multiple management support modules to support content management and maintenance of terminology standards and code standards, including manual management of structured content, file import management, intelligent recognition management of imported standard files, ontology code standard import management, etc., and provides version control management functions to ensure the consistency and traceability of data standards.

[0070] Although 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 the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A method for implementing data standard management in the field of data circulation, characterized by: The method comprises the following steps: Management of common data standards, where common data standards are used to standardize data elements and their corresponding data to ensure mutual recognition of information items during data circulation; The management of common data standards is further divided into basic standard management and data element standard management. Basic data standards include terminology standards and code standards, and data element standards include general standards, extended standards, and custom standards. Provide basic information management of terminology standards, including standard category, standard name, standard status, standard number, issuing unit, issuing time, standard label, and support structured management of terminology standard content, including term number, term classification, term Chinese name, term English name, and term definition; Provides structured management of code standard content, including classified and graded codes, category names, category descriptions, and supports nested and associated management of multi-level code standards.

2. The method for implementing data standard management in the field of data circulation according to claim 1, characterized in that: The method also includes: Structural management of data element standard content, specifically providing management capability support for three scenarios: general standards, extended standards, and custom standards; General standard management includes the management of identification class attributes, definition class attributes, relationship class attributes, representation class attributes and management class attributes; Extended standard management includes additional management of identification class attributes, definition class attributes, representation class attributes, and management class attributes, such as application constraints, value ranges, data formats, measurement units, and quality verification rules; Customized standard management supports industry-specific management requirements and conducts industry-customized data element standard management based on the previous types of standard management.

3. The method for implementing data standard management in the field of data circulation according to claim 1, characterized in that: The method also includes: Management of semantic data standards, where semantic data standards are used to remodel and manage data according to ontology concepts and meta-ontologicalize data; Provides ontology terminology management, establishes naming conventions for the ontology and terminology standards for its term classification; Provides management of relationships between ontology classes, including management of inductive relationships, combined relationships, and associated relationships.

4. The method for implementing data standard management in the field of data circulation according to claim 1, characterized in that: The method also includes: Management of the relationship between ontology classes and data element attributes. Establishing the relationship between ontology classes and the relationship between ontology and data attributes and their data types through the ontology attributes and data attributes in the data element. The construction of the semantic associated data model, through the above management, constructs the semantic associated data model of a certain business field, and supports the visual management and version management of the semantic associated data model.

5. The method for implementing data standard management in the field of data circulation according to claim 1, characterized in that: The method also includes: It supports multiple ways to manage and maintain the content of terminology standards and code standards, including manual management of structured content, file import management, intelligent recognition management of imported standard files, ontology code standard import management, etc., and provides version control management functions.

6. A system for data standard management in the field of data circulation, applied to the method for implementing data standard management in the field of data circulation as claimed in any one of claims 1 to 5, characterized in that: The system comprises: The general data standard management module is used to standardize data elements and their corresponding data to ensure mutual recognition of information items during data circulation; this module is further divided into the basic standard management submodule and the data element standard management submodule; Basic standard management submodule, used to manage terminology standards and code standards; The data element standard management submodule is used to manage common standards, extended standards and custom standards.

7. A system for implementing data standard management in the field of data circulation according to claim 6, characterized in that: The basic standard management submodules include: The terminology standard management unit is used to manage the basic information of terminology standards, including standard category, standard name, standard status, standard number, issuing unit, issuing time, standard label, and supports structured management of terminology standard content, including term number, term classification, term Chinese name, term English name, and term definition; The code standard management unit is used to manage the content structure of the code standard, including the classified and graded codes, category names, and category descriptions, and supports multi-level code standard nested management and association management.

8. A data standard management implementation system in the data circulation field according to claim 6, characterized in that: The data element standard management submodule includes: A general standard management unit, used to manage identification class attributes, definition class attributes, relationship class attributes, representation class attributes and management class attributes of general standards; The extended standard management unit is used to manage the identification attributes, definition attributes, representation attributes and management attributes of the extended standard, including synonymous names, application constraints, value ranges, data formats, measurement units and quality verification rules; The custom standard management unit supports industry-customized data element standard management based on the previous types of standard management based on industry-specific management requirements.

9. A data standard management implementation system in the data circulation field according to claim 6, characterized in that: The system also includes: a semantic level data standard management module, which is used to remodel and manage the data according to the ontology concept and to ontologize the data; this module includes: Ontology terminology management unit, used to manage the naming conventions of the ontology and the terminology standards of the term classification to which it belongs; The ontology inter-class relationship management unit is used to manage the inductive relationship, combination relationship and association relationship between ontology classes; The relationship management unit between ontology classes and data element attributes is used to establish the relationship between ontology classes and the relationship between ontology and data attributes and their data types through the ontology attributes and data attributes in the data element; The semantic association data model construction unit is used to construct the semantic association data model of a certain business field through the above management, and supports the visual management and version management of the semantic association data model.

10. A data standard management implementation system in the data circulation field according to claim 6, characterized in that: The system also includes: multiple management support modules to support content management and maintenance of terminology standards and code standards, including manual management of structured content, file import management, intelligent recognition management of imported standard files, ontology code standard import management, etc., and provides version control management functions to ensure the consistency and traceability of data standards.

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