T/JSIA 0001-2022 Guidelines for Data Classification and Grading in Big Energy Data

Scope

Scope: This document defines the basic classification and grading principles and methods for data resources in energy big data centers. This document is applicable to guiding energy big data centers in carrying out data classification and grading work. Main technical content: 5. Data grading and classification principles 5.1.1 Independent grading: Before collecting and sharing data, each energy big data center shall independently grade various types of data in accordance with the grading methods specified in this document. 5.1.2 Clear boundaries at each level: Data grading shall follow the principle of reasonable hierarchy and clear boundaries. 5.1.3 Objectivity: The data grading rules shall be objective and verifiable, that is, the data's own attributes and grading rules can be used to determine its grading level. The graded data can be reviewed and inspected. 5.1.4 Strict grading based on changes in data levels: Data grading shall be conducted based on the changes in data levels, with stricter grading applied to higher levels. The grading method takes the four levels of energy big data as the grading objects. The security level of the energy big data is determined based on the degree of harm to national security, social order, public interests, and the legitimate rights and interests of citizens, legal persons, and other organizations caused by its being tampered with, destroyed, leaked, or illegally obtained and used, and taking into account the factors of data level changes. The data security levels are divided into the following five levels, with the definitions of each level shown in Table 4: a) Level 5: After the data is damaged, it causes general, serious, or particularly serious harm to national security, and serious harm to social order and public interests, but does not harm the legitimate rights and interests of citizens, legal persons, and other organizations; b) Level 4: After the data is damaged, it causes serious harm to social order and public inter

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