T/JSIA 0004-2023 Guidelines for Building Data Management Capabilities in Green Software Parks
T/JSIA 0004-2023 Guidelines for Building Data Management Capabilities in Green Software Parks
Basic Information
Scope
Main Technical Content: Based on GB/T 36073-2018 and the actual needs of park data management, the competency domains of park data management include but are not limited to data standards, data quality, data sharing, data requirements, data applications, and data security. Data management responsibilities should be clearly defined, and data management competency domains should be implemented concurrently. **Data Standards Implementation** 8.2.1 Master Data Management The department responsible for park data management should collaborate with park enterprises to establish master data management standards and requirements, with professional support organizations responsible for master data maintenance and the development of master data management components. 8.2.2 Master Data Application Park enterprises should implement cross-unit master data sharing through park master data management components and regularly monitor and verify the application of master data to ensure its sharing and consistency within the park. 8.2.3 Reference Data Management The department responsible for park data management should collaborate with park enterprises to organize and formulate park reference data standards, with professional support organizations responsible for adding and revising reference data. 8.2.4 Reference Data Application Park enterprises should generate data in accordance with reference data standards, and the department responsible for park data management should organize monitoring and verification of reference data standards to ensure their standardization and consistency. **Data Quality Implementation** 8.3.1 Data Quality Rule Management The department responsible for park data management and park enterprises should follow GB/T 36344-2018 and combine enterprise-level data applications and data quality requirements to develop an annual data quality verification and governance plan, identifying key verification and governance areas and content.