T/CECC 29.2-2024 Data Classification Guidelines Part 2: New Energy Vehicles

Scope

Scope: This document specifies the objectives, principles, methods, and processes for the classification and grading of new energy vehicle data. This document applies to data classification and grading work conducted by institutions related to new energy vehicle data, and it also serves as a reference for regulatory authorities responsible for data classification and grading management and supervision of new energy vehicle data. This document does not apply to data involving state secrets. Main technical content: Data classification methods and processes: including data classification methods and data classification processes. The data classification method adopts a mixed classification approach, classifying data according to the "business line - key business - business attribute" model. The data classification process includes five steps: classification planning, classification preparation, classification implementation, result evaluation, and maintenance and improvement. Data grading methods and processes: including data grading methods and data grading processes. The new energy vehicle data grading reference GB/T 43697-2024 divides data security levels from high to low into five grades: 5th, 4th, 3rd, 2nd, and 1st. Among them, grade 5 represents core data, grade 4 represents important data, and grades 1-3 represent general data. The new energy vehicle data security grading process includes five steps: data asset inventory, data security grading preparation, data security level determination, data security level review, and data security level approval.

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