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)