我国大数据应用中的数据伦理风险及其治理研究进展  

Research Progress on Data Ethical Risk and Its Governance in Big Data Application in China

作　　者：王英[1] 张睿婵 王铖 Wang Ying;Zhang Ruichan;Wang Cheng

机构地区：[1]湖北大学历史文化学院,湖北武汉430062

出　　处：《图书馆工作与研究》2023年第4期39-47,共9页Library Work and Study

摘　　要：文章对我国大数据应用中的数据伦理风险及其治理相关研究成果进行剖析。结果显示:数据伦理主要由数据隐私、数字鸿沟、数据安全、数据所有权、数字身份、数据质量、数据可及7个维度构成;大数据应用中的数据伦理风险主要集中在数据共享、数据挖掘、数据存储等环节,可通过加强数据技术应用与创新、健全完善数据伦理政策法规、坚持数据伦理原则、开展数据素养教育进行数据伦理治理。未来研究应夯实数据伦理概念体系、构建基于场景的大数据应用数据伦理风险模型、构建大数据应用的伦理风险治理体系,并改进研究方法。This paper analyzes the related research results of the data ethical risk and the governance of big data application in China.It is shown that data ethics is mainly composed of seven dimensions:data privacy,digital divide,digital identity,data ownership,data accessibility,data quality,data security.Data ethical risks of big data application mainly occur in the processes of data sharing,data mining,data storage,etc.Data ethical governance can conduct from the aspects of strengthening applications and innovations of data technologies,perfecting data ethical policies and regulations,insisting data ethical principles,and carrying out data literacy education.It is recommended that future research should focus on strengthening the conceptual system of data ethics,establishing scenariobased big data applications data ethics risk model,building an ethical risk governance system for big data applications and improving the research methods.

关 键 词：数据伦理 大数据应用 伦理风险治理 

分 类 号：G250.7[文化科学—图书馆学]