This standard specifies the general requirements, dimensions, processes and change procedures for the classification and grading of higher education data. This document is applicable to the classification and grading of general data in the field of higher education, and does not involve important data and core data, nor is it applicable to the classification and grading management of confidential data. This standard defines the principles, framework and methods for the classification and grading of data resources in the field of higher education in Shenzhen. This standard is applicable to the data classification and grading and data sharing and opening of relevant units such as colleges and universities, education administrative departments, etc. in Shenzhen. It can also be used as a reference for organizations such as higher education, network security authorities and third-party assessment agencies to carry out security supervision, management and assessment of higher education data classification and grading. This standard aims to guide data processors in data classification and grading, and can also provide a reference for the competent regulatory authorities in data classification and grading management. Combined with the business of talent training, scientific research, campus management, campus safety and other aspects of higher education institutions, considering the actual situation of higher education education data security requirements, business scale, data complexity, etc., the data of higher education institutions are classified, sorted and marked to form a classification list of higher education data. The classification of university data is studied according to the potential impact of different categories of data being tampered with, destroyed, leaked or illegally used on the production, life, economic benefits, etc. of higher education institutions and related individuals.
T/SZHEIS 003-2024 history
2024T/SZHEIS 003-2024 Guide for Higher Education Data Security Classification and Grading