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)