DCMM Overview

DCMM (数据管理能力成熟度评估模型 - Data Management Capability Maturity Assessment Model) is China’s national standard GB/T 36073-2018 for evaluating data management capabilities. It provides a systematic framework to help organizations assess and improve their data management maturity.

Key Characteristics

  • Standard: GB/T 36073-2018 “Data management capability maturity assessment model”
  • Update: DCMM 2.0 (GB/T 36073-2025) released December 2025, effective July 2026
  • Structure: 8 core capability domains, 28 process areas, 445 capability standards
  • DCMM 2.0: Expands to 9 capability domains and 33 process areas, adds Data Assets domain
  • Purpose: Guide organizations in developing comprehensive data management capabilities
  • Application: Enterprise data management assessment and certification

DCMM Capability Framework Merged Table

能力域 (Capability Domain)能力项 (Capability Item)
数据战略 (Data Strategy)- 数据战略规划 (Data Strategic Planning)
- 数据战略实施 (Data Strategy Implementation
- 数据战略评估 (Data Strategy Evaluation)
数据治理 (Data Governance)- 数据治理组织 (Data Governance Organization)
- 数据制度建设 (Data Policy Development)
- 数据治理沟通 (Data Governance Communication)
数据架构 (Data Architecture)- 数据模型 (Data Model)
- 数据分布 (Data Distribution)
- 数据集成与共享 (Data Integration and Sharing)
- 元数据管理 (Metadata Management)
数据应用 (Data Application)- 数据分析 (Data Analysis)
- 数据开放共享 (Data Open Sharing)
- 数据服务 (Data Service)
数据安全 (Data Security)- 数据安全策略 (Data Security Strategy)
- 数据安全管理 (Data Security Management)
- 数据安全审计 (Data Security Audit)
数据质量 (Data Quality)- 数据质量需求 (Data Quality Requirement)
- 数据质量检查 (Data Quality Check)
- 数据质量分析 (Data Quality Analysis)
- 数据质量提升 (Data Quality Improvement)
数据标准 (Data Standard)- 业务术语 (Business Term)
- 参考数据和主数据 (Reference Data and Master Data)
- 数据元 (Data Element)
- 指标数据 (Indicator Data)
数据生存周期 (Data Lifecycle)- 数据需求 (Data Requirement)
- 数据设计和开发 (Data Design and Development)
- 数据运维 (Data Operation and Maintenance)
- 数据退役 (Data Retirement)


References

Official Resources

Data Standards Resources

DCMM 2.0 Update