On the Classification and Grading of Data in Civil Law

This article explores the dual legal attributes of data from a civil law perspective, analyzes the classification and grading experiences abroad, and combines these with Chinese actual needs for data protection to construct a classification and grading path that fits Chinese legal system. Based on whether data carries personal information and whether it is publicly disclosed, this article proposes four categories of data and explains their applicable legal rules; it also divides data into three levels based on the degree of damage caused by data breaches, and proposes corresponding protective measures.

Authors

Publication Details

Journal
International journal of education and social development.
Published
2025-03-20
DOI
https://doi.org/10.54097/4626f135
Primary Topic
Artificial Intelligence in Law
Type
article
Field-Weighted Citation Impact
0.00
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article

On the Classification and Grading of Data in Civil Law

Guoqi Zhang
International journal of education and social development.
Artificial Intelligence in Law
article

On the Classification and Grading of Data in Civil Law

Guoqi Zhang
article en

Abstract

This article explores the dual legal attributes of data from a civil law perspective, analyzes the classification and grading experiences abroad, and combines these with Chinese actual needs for data protection to construct a classification and grading path that fits Chinese legal system. Based on whether data carries personal information and whether it is publicly disclosed, this article proposes four categories of data and explains their applicable legal rules; it also divides data into three levels based on the degree of damage caused by data breaches, and proposes corresponding protective measures.

International journal of education and social development.Vol. 2(2)
Openalex Percentile: Top 94%
Artificial Intelligence in Law
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On the Classification and Grading of Data in Civil Law — Guoqi Zhang · International journal of education and social development. (2025) | TGRS Research Map | TGRS