图书情报工作 ›› 2023, Vol. 67 ›› Issue (6): 52-63.DOI: 10.13266/j.issn.0252-3116.2023.06.006

• 工作研究 • 上一篇    下一篇

欧洲FAIRsFAIR“高等教育FAIR能力框架与课程体系”解读及启示

叶兰   

  1. 深圳大学图书馆 深圳 518060
  • 收稿日期:2022-09-28 修回日期:2022-12-29 出版日期:2023-03-20 发布日期:2023-04-06
  • 作者简介:叶兰,副研究馆员,硕士,E-mail:yel@szu.edu.cn
  • 基金资助:
    本文系 2022 年度广东省图书馆科研课题“高校 FAIR 数据管理能力教育与培训研究” ( 项目编号: GDTK22040) 和深圳市文化广电旅游体育局 2022-2023 年度深圳市图书情报科研课题“粤港澳大湾区高校 FAIR 数据管理能力教育与培训研究” ( 项目编号: 2022291) 研究成果之一。

Interpretation and Enlightenment of FAIRsFAIR “FAIR Competence Framework and Lesson Systems for Higher Education”

Ye Lan   

  1. Shenzhen University Library, Shenzhen 518060
  • Received:2022-09-28 Revised:2022-12-29 Online:2023-03-20 Published:2023-04-06

摘要: [目的/意义] 介绍欧洲FAIRsFAIR项目制定的“高等教育FAIR能力框架”及高校FAIR能力课程体系,为国内高校及高校图书馆将FAIR相关内容整合到其课程和教学中提供参考。[方法/过程] 通过归纳分析,提炼框架内容及高校FAIR能力课程体系设计过程与方法。[结果/结论] FAIRsFAIR“高等教育FAIR能力框架”及高校FAIR能力课程体系为国内高校开展FAIR能力教育与培训提供了思路。国内高校可将FAIR能力培育嵌入到已有的数据科学或数据管理课程教学中,促进图书馆与院系合作,推动数据管理与FAIR数据相关的政策制定及基础设施建设。

关键词: FAIR能力, FAIR教育, 高等教育课程, FAIR原则, 数据管理

Abstract: [Purpose/Significance] This paper introduces FAIR Competence Framework for Higher Education and the related model lessons developed by FAIRsFAIR (Fostering FAIR data practices in Europe) in order to provide a reference for universities and university libraries in China to integrate FAIR data-related content in curriculum and teaching. [Method/Process] Based on inductive analysis, the content of FAIR Competence Framework, the process and the method of designing FAIR competence lessons were extracted. [Result/Conclusion] FAIRsFAIR’s FAIR Competence Framework for Higher Education and the related model lessons provide a practical guidance on FAIR competence education and training for universities in China. Universities in China can bring the FAIR related competences into the data science and data stewardship curricula, facilitate the cooperation between libraries and colleges, and promote the adoption of research data management and FAIR data-related policies and infrastructure construction.

Key words: FAIR competence, FAIR education, higher education curricula, FAIR principles, data management

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