Key Standard Projects for Data Governance in 2024–2025

On 30 October 2024, SAC/TC609 (data) proposed 37 key standard projects for drafting or revision in 2024–2025, as follows.

Data — Terminology (Revision)
High-quality Dataset Format Specification
High-quality Dataset Types and Quality Requirements
Methods for Evaluating the Effectiveness of Data Circulation Anonymization
Implementation Guide for Data Circulation Anonymization
Data Infrastructure — Reference Architecture
Data Infrastructure — General Requirements
Technical and Service Capability Requirements for Hub Node Public Transmission Channel Networks
Integrated Monitoring and Scheduling of Computing Networks
City-Wide Digital Transformation — Evaluation Model for Effective Use of Urban Data
Data Service Capability Evaluation — Part 2: Circulation and Transaction Capability Model
Data Service Capability Evaluation — Part 3: Third-Party Service Capability Model
Data Service Capability Evaluation — Part 4: Consulting Service Capability Model
Data Service Capability Evaluation — Part 5: Application Innovation Capability Model
Data Service Capability Evaluation — Part 6: Product and Platform Capability Model
Data Service Capability Evaluation — Part 7: Resource Integration Capability Model
Data Service Capability Evaluation — Part 8: Processing and Analysis Capability Model
Data Service Capability Evaluation — Part 9: Security Technology Capability Model
Public Data — Authorized Operation — Part 1: Reference Architecture
Public Data — Authorized Operation — Part 2: Management Specifications
Public Data — Authorized Operation — Part 3: Service Directory and Specifications
Public Data — Authorized Operation — Part 4: Performance Evaluation Requirements (Proposed name change: Monitoring and Evaluation Requirements)
Implementation Guide for Public Data Resource Registration
Capability Requirements for Data-Driven Enterprises (Proposed name change: Standards for Identification and Evaluation of Data Enterprises)
General Technical Requirements for Data Registration Platforms
General Requirements for Data Quality Evaluation Systems
Data Space — Reference Architecture
Data Space — Basic Capability Requirements
Data Space — Application Maturity Evaluation
City-Wide Digital Transformation — Terminology (Revision)
City-Wide Digital Transformation — Technical Reference Model (Revision)
City-Wide Digital Transformation — Top-Level Design Guide (Revision)
Data Quality for Analytics and Machine Learning — Part 1: Overview, Terminology, and Examples (Adoption of International Standard)
Data Quality for Analytics and Machine Learning — Part 2: Data Quality Metrics (Adoption of International Standard)
Data Quality for Analytics and Machine Learning — Part 3: Data Quality Management Requirements and Guidelines (Adoption of International Standard)
Data Quality for Analytics and Machine Learning — Part 4: Data Quality Process Framework (Adoption of International Standard)
Data Quality for Analytics and Machine Learning — Part 5: Data Quality Governance Framework (Adoption of International Standard)