Standard Working List Issued for National Data TC

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Standard Working List Issued for National Data TC - OCT, 2024

#Compliance#Data Securityby ED01

Uploading Date: 2024-11-20 14:54:19

On October 30, 2024, the SAC/TC609 (Data) publishes the standard list as its working plan after establishment. The purpose is to standardize the construction of data infrastructure, promote the high-quality supply of data resources, promote the efficient and orderly circulation of data, lead the iterative innovation of data technology, and form a new pattern of multi-data fusion and application.

It contains a total of 37 items, covering critical fields such as data governance, data circulation and utilization, digital transformation, data technology, data infrastructure etc.

Standard details are listed as follows:

No.	Standards to-be Drafted or Revised	Type	Relation with International Standards
1	Data—Terms	Revision	N/A
2	High Quality Data Set - Format specification	Newly-drafted	N/A
3	High-quality Data Set - Types and quality requirements	Newly-drafted	N/A
4	Anonymization of Data Circulation - Evaluation method	Newly-drafted	N/A
5	Anonymization of Data Circulation - Guidelines	Newly-drafted	N/A
6	Data Infrastructure - Reference framework	Newly-drafted	N/A
7	Data Infrastructure - General requirements	Newly-drafted	N/A
8	Transmission Service and Technical Capability Requirements for Hub Node Public Transmission Channel network	Newly-drafted	N/A
9	Integrated Monitoring and Dispatching of Computing Power Network	Newly-drafted	N/A
10	Evaluation Model for the Effective Utilization of Urban Data in the Global Digital Transformation of Cities	Newly-drafted	N/A
11	Information technology–Big Data–Big Data service capability evaluation Part 2: circulation transactions	Newly-drafted	N/A
12	Information technology–Big Data–Big Data service capability evaluation Part 3: Third party service	Newly-drafted	N/A
13	Information technology–Big Data–Big Data service capability evaluation Part 4: Consulting service	Newly-drafted	N/A
14	Information technology–Big Data–Big Data service capability evaluation Part 5: Innovation application	Newly-drafted	N/A
15	Information technology–Big Data–Big Data service capability evaluation Part 6: Product platform	Newly-drafted	N/A
16	Information technology–Big Data–Big Data service capability evaluation Part 7: Resource integration	Newly-drafted	N/A
17	Information technology–Big Data–Big Data service capability evaluation Part 8: Process analysis	Newly-drafted	N/A
18	Information technology–Big Data–Big Data service capability evaluation Part 9: Security technologies	Newly-drafted	N/A
19	Public data — authorization and operation service — Part 1: Reference framework	Newly-drafted	N/A
20	Public data — authorization and operation service — Part 2: Management rules	Newly-drafted	N/A
21	Public data — authorization and operation service — Part 3: Service catalogue and specification	Newly-drafted	N/A
22	Public data — authorization and operation service — Part 4: Performance evaluation requirements (may modifying name as "Public data — authorization and operation service — Part 4: Monitor and evaluation requirements")	Newly-drafted	N/A
23	Public Data Resource Registration - Implementation guideline	Newly-drafted	N/A
24	Capability Requirements for Data-driven Enterprises (may modifying name as "Criteria for identification and evaluation for data enterprises")	Newly-drafted	N/A
25	General Technical Requirements for Data Registration Platform	Newly-drafted	N/A
26	General Requirements for Data Quality Evaluation Systems	Newly-drafted	N/A
27	Data space - Reference architecture	Newly-drafted	N/A
28	Data space - Basic competence requirements	Newly-drafted	N/A
29	Data space - Application maturity evaluation	Newly-drafted	N/A
30	Urban Full-realm Digital Transformation - Terminology	Revision	N/A
31	Urban Full-realm Digital Transformation - Technical reference model	Revision	N/A
32	Urban Full-realm Digital Transformation - Guide on top-level design	Revision	N/A
33	Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 1: Overview, terminology, and examples	Newly-drafted	ISO/IEC 5259-1
34	Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 2: Data quality measures	Newly-drafted	ISO/IEC 5259-2
35	Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 3: Data quality management requirements and guidelines	Newly-drafted	ISO/IEC 5259-3
36	Artificial intelligence - Data quality for analytics and machine learning (ML) - Part 4: Data quality process framework	Newly-drafted	ISO/IEC 5259-4
37	Artificial intelligence Data quality for analytics and machine learning (ML) Part 5: Data quality governance framework	Newly-drafted	ISO/IEC 5259-5

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