T/XJBX 0130-2025 Active Group standards

T/XJBX 0130-2025 Guidelines for Classification and Evaluation of Digital Assets in the Electronic Information Industry

Publish Date: 2026-01-23 Implement Date: 2026-02-01 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/XJBX 0130-2025

Standard Type: Group standards

Standard Status: Active

is_force_gb: no

CCS Name: -

ICS Name: Comprehensive Application of Information Technology

Publish Date: 2026-01-23

Implement Date: 2026-02-01

Scope

The electronic information industry encompasses multiple types of businesses, including integrated circuits, communication and network equipment, software and information services, consumer electronics, industrial Internet, and smart manufacturing. These businesses rely heavily on digital resources such as data, software, algorithm models, digital processes, and design files in their operations. Digital resources are playing an increasingly important role in R&D innovation, supply chain collaboration, market operations, and regulatory compliance. With the widespread application of cloud computing, big data, artificial intelligence, and edge computing, data flows between enterprises and external ecosystems have become more frequent. Digital resources exhibit characteristics of "large-scale accumulation, cross-domain sharing, rapid iteration, and multiple value creation," gradually evolving from supporting resources to quantifiable, operable, tradable, and auditable key assets. In practice, electronic information enterprises commonly face issues such as unclear boundaries of digital assets, inconsistent classification standards, ambiguous ownership responsibilities, non-standardized valuation methods, and difficulty in quantifying risk and compliance impacts. These issues prevent digital assets from being integrated into unified governance and asset management systems. On the one hand, enterprises struggle to form decision-making bases for prioritizing the protection of core data and critical software and algorithm models. On the other hand, when facing compliance requirements such as data security, personal information protection, network security level protection, and cryptography applications, they lack traceable classification and evaluation chains, undermining the trust foundation for audits, regulatory inspections, and supply chain cooperation. Especially in group organizations with multiple business lines, subsidiaries, and systems, the lack of unified classi