加强科研诚信建设不仅需要进一步健全完善科研评价体系和监督惩处机制，更需要加强科研诚信教育。在2023年3月召开的iConference2023专题研讨会“全球视野下的科研诚信教育”上，与会专家的发言报告呈现了中国、欧洲和美国在科研诚信教育领域的实践进展，讨论和交流了科研诚信和科技伦理的联系与区别、剽窃和自我剽窃、数据和图像的篡改与捏造、以ChatGPT为代表的生成式人工智能技术对科研诚信的影响等全球iSchools开展科研诚信教育关注的热点问题。基于研讨会内容，认为信息资源管理学界可以利用数据智能优势开展跨学科研究支撑科研诚信教育；图书馆等信息资源管理机构可以强化科研诚信素养教育，并和出版商、信息服务企业、学术组织等协同参与科研诚信教育；科研诚信教育应该面向科研生命全周期，构建与国际学术传播规范同步的通用知识体系。

Strengthening the construction of research integrity requires not only further improving the research evaluation system and the supervision and punishment mechanism, but also strengthening the research integrity education (RIE). At the iConference2023 workshop on “Research Integrity Education in the Global Context” held in March 2023, the reports from the attending experts presented the practice progress of China, Europe, and the United States in the field of RIE. The participants of this RIE workshop discussed and exchanged ideas on some controvercial topics such as the relationship and difference between research integrity and research ethics, plagiarism and self-plagiarism, falsification and fabrication of data and image, the impact of generative artificial intelligence technology on research integrity as represented by ChatGPT, etc. Based on the workshop content, it was suggested that the community of information resource management could utilize the advantages of data and intelligence to support interdisciplinary research for RIE. Libraries and other information resource management institutions could enhance RIE and collaborate with information service companies, publishers, academic organizations, etc. to participate in RIE. RIE should cover the entire lifecycle of scientific research and build a universal knowledge system that is synchronized with international academic communication norms.