Abstract: In order to promote the open sharing of government data and improve data security, it is urgent to solve the classification and grading of government data resources. This paper summarized the experience of domestic and foreign government data classification and grading, using a hybrid classification method combining surface and line to build transportation government data classification framework. A fivelevel data grading model was formed base on the data grading method of data security risk analysis, and the effect of the method was verified by introducing actual data. Transportation government data classification and grading method can effectively assist the relevant departments to carry out classification and grading of government data, as well as important data protection, and promoting the level of industry data security governance and security technology advancement.

Key words: transportation, classification and grading, government data, data security, data resource sharing

摘要： 为了促进政务数据开放共享，提升数据安全能力，政务数据资源的分类分级亟待解决.总结国内外政务数据分类分级经验，采用面线结合的混合分类方法搭建交通运输政务数据分类框架；并基于数据安全风险分析的数据分级方法，形成数据分级模型，通过引入实际数据验证方法的效果.交通运输政务数据分类分级方法能够有效协助行业相关部门开展政务数据分类分级和重要数据保护，促进行业数据安全治理水平和安全防护技术进步.

关键词: 交通运输, 分类分级, 政务数据, 数据安全, 数据资源共享