数据与计算发展前沿 ›› 2024, Vol. 6 ›› Issue (6): 10-18.

CSTR: 32002.14.jfdc.CN10-1649/TP.2024.06.002

doi: 10.11871/jfdc.issn.2096-742X.2024.06.002

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数据分类分级：实践进展与经验启示

王剑1,2(),赵瑞雪1,2,杨晓蓉1,屠媛媛1,*()   

  1. 1.中国农业科学院农业信息研究所，北京 100081
    2.国家新闻出版署农业融合出版知识挖掘与知识服务重点实验室，北京 100081
  • 收稿日期:2024-05-16 出版日期:2024-12-20 发布日期:2024-12-20
  • 通讯作者: 屠媛媛
  • 作者简介:王剑，中国农业科学院农业信息研究所，副研究员，博士，长期从事农业信息技术、数字乡村发展平台建设，主要研究领域为农业科研信息化、数据安全。
    本文中负责论文初稿撰写。
    WANG Jian, Ph.D., is an associate researcher at the Institute of Agricultural Information, Chinese Academy of Agricultural Sciences. He has long been engaged in the construction of agricultural information technology and digital rural development platform. His main research interests include agricultural scientific research informatization and data security.
    In this paper, he is responsible for writing the first draft of the thesis.
    E-mail: wangjian02@caas.cn|屠媛媛，中国农业科学院农业信息研究所，助理研究员，硕士，长期从事农业科技网站体系规划与资源建设工作，主要研究领域为农业科研信息化、门户网站关键技术与服务模式。
    本文中负责论文相关数据收集整理。
    TU Yuanyuan, holding a Master’s degree, is an assistant researcher at Agricultural Information Institute of CAAS. Engaged in the long-term planning and resource construction of agricultural science and technology website systems, with focus on research in agricultural scientific research informatization, key technologies and service models of websites.
    In this paper, she is responsible for the collection and organization of research-related data.
    E-mail: tuyuanyuan@caas.cn
  • 基金资助:
    河南省重点研发专项项目“基于大数据与可解释人工智能的农业智能知识服务关键技术与应用示范”(241111211100);科技创新20230重大项目“农业智能知识服务平台研发与应用示范”(2021ZD0113700)

Data Classification: Practice Progress and Experience Enlightenment

WANG JIan1,2(),ZHAO Ruixue1,2,YANG Xiaorong1,TU Yuanyuan1,*()   

  1. 1. Agricultural information institute of CAAS, Beijing 100081, China
    2. Key Laboratory of Agricultural Integrated Publishing Knowledge Mining and Knowledge Services of the National Press and Publication Administration, Beijing 100081, China
  • Received:2024-05-16 Online:2024-12-20 Published:2024-12-20
  • Contact: TU Yuanyuan

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摘要：

【目的/意义】数据分类分级作为数据安全保护的一种前置性和关键性工作，对于国家数据安全战略推进具有极其重要的意义。【方法/过程】在系统分析国内外政府、机构与高校较为成熟的数据分类分级实践进展的基础上，深入梳理数据分类分级的标准规范与行业指南，明确数据分类分级实践的经验与不足，厘清现有数据分类分级机制设计中的关键要素。【结果/结论】以此研判其对构建数据分类分级机制的可借鉴路径，并从分类分级标准与方法、顶层设计与管理制度建设、保护评估机制等三个方面给出了推进我国数据资源管理启示，展望了数据分类分级发展趋势和未来技术进步影响，以期为推进数据资源精准、可持续性保护和高质量发展提供理论与实践参考。

关键词: 分类分级, 数据开放, 数据安全, 实践进展, 启示

Abstract:

[Purpose/significance] Data classification and grading, as a prerequisite and key work for data security protection, is of great significance for the promotion of national data security strategy. [Method/process] Based on the systematic analysis of the relatively mature domestic and foreign practices in data classification and grading, this paper clarifies the key elements in the design of existing data classification and grading mechanisms, reviews data classification and grading standards and industry guidelines, identifies the experience and deficiencies in data classification and grading practices and judges their reference paths and inspirations for constructing data classification and grading mechanisms. [Result/conclusion] This work studies the possible paths for building a data classification and grading mechanism, and provides inspiration for promoting data resource management in our country from three aspects: classification and grading standards and methods, top-level design and management system construction, and protection assessment mechanism. It also looks forward to the development trend of data classification and grading and the impact of future technological progress in order to provide theoretical and practical references for promoting accurate, sustainable protection and high-quality development of data resources.

Key words: classification and grading, data openness, data security, practice progress, inspiration