T/MSITISA 03-004.01-2021 Abolished Group standards

T/MSITISA 03-004.01-2021 Big data credit data governance data life cycle management specification

T/MSITISA 03-004.01-2021 Big data credit data governance data life cycle management specification

Publish Date: 2021-11-09 Implement Date: 2021-12-01 For services related to genuine standard inquiry, procurement, translation, and other related services in China, please Contact Us
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Basic Information

Standard Code: T/MSITISA 03-004.01-2021
Standard Type: Group standards
Standard Status: Abolished
is_force_gb: no
CCS Name: Economic and cultural
ICS Name: Integrated Information Technology (IT)
Publish Date: 2021-11-09
Implement Date: 2021-12-01

Scope

Main technical content: In 2020, the State Council issued the "Opinions of the Central Committee of the Communist Party of China and the State Council on Building a More Perfect System and Mechanism for the Market-Based Allocation of Factors of Production", explicitly identifying data as a new type of production factor, on par with traditional factors such as land, labor, capital, and technology. The status of big data in credit reporting has gradually transitioned from an information asset to a production factor, and its importance has become increasingly prominent. However, security threats such as data leaks, misuse, and tampering have affected the healthy development of the credit reporting industry and even jeopardized national security, social order, and public interests. In July 2020, the "Data Security Law" was officially promulgated, proposing that the country implement a big data strategy, encourage and support the innovative application of data in various industries and fields, and provide legal support for the lawful use of data security. This standard focuses on regulating how to strengthen data protection capabilities and ensure the safe flow of credit reporting data while meeting the basic needs of credit reporting business. Credit reporting data is complex and diverse, characterized by massive heterogeneous and multi-source features. Classifying credit reporting data into different security levels and implementing lifecycle security management at each level can further clarify the protection requirements for data at each stage of the lifecycle, helping credit reporting service providers rationally allocate resources and costs for data protection and establish comprehensive lifecycle protection strategies and mechanisms for credit reporting data. At the same time, a reasonable, accurate, and comprehensive data lifecycle security management system can promote the safe application and sharing of credit reporting data in credit reporting services, facili

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