| 国外图书馆数据素养教育最佳实践研究与启示 |
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| 引用本文： | 胡卉,吴鸣.国外图书馆数据素养教育最佳实践研究与启示[J].现代情报,2016,36(8):66. |
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| 作者姓名： | 胡卉 吴鸣 |
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| 作者单位： | 1. 中国科学院文献情报中心, 北京 100190;2. 中国科学院大学, 北京 100049 |
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| 摘 要： | 本文首先探讨了E-Science科研环境下数据素养教育的重要性，认为图书馆是开展数据素养教育的最佳主体。其次介绍了数据素养的概念和内涵及其教育现状，指出国内探索数据素养教育需要学习和参考国外数据素养教育的优秀成果和实践经验。接着选取马萨诸塞大学医学院Lamar Soutter图书馆的新英格兰数据管理协作课程、普渡大学、明尼苏达大学、俄勒冈大学和康奈尔大学4所图书馆联合开发的数据信息素养教育项目和爱丁堡大学图书馆的MANTRA教育项目作为数据素养教育最佳实践进行分析，从教学目标、教学对象、教学途径、教学内容和教学评估5个方面归纳最佳实践的教育模式，并总结最佳实践为国内图书馆探索数据素养教育的启示，包括：重视图书馆数据素养教育，加大资金和人员等方面的支持力度；关注领域科学数据的特点，开展学科化数据管理教育；以数据管理需求为基础，提供针对性培训；形成“教学-评估反馈-优化-再教学”的生态教育链，实现数据素养课程的可持续发展等。
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| 关 键 词： | 国外图书馆 数据素养教育 最佳实践 科学数据管理 |
Best Practice and Enlightenment of Data Literacy Education in Academic Libraries Abroad |
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| Authors: | Hu Hui Wu Ming |
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| Institution: | 1. National Science Library, Chinese Academy of Sciences, Beijing 100190, China;2. University of Chinese Academy of Science, Beijing 100049, China |
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| Abstract: | This paper firstly discussed the importance of data literacy education in E-Science environment and considers that academic library is the best organization to teach data literacy.Next,the paper introduced its concept and content and pointed out that domestic libraries explore data literacy education should learn from outstanding achievements and practical experiences abroad.Then analyzed the New England Collaborative Data Management Curriculum(NECDMC) project led by the Lamar Soutter Library at the University of Massachusetts Medical School,data information literacy(DIL) led by Purdue University,the University of Minnesota,the University of Oregon,and Cornell University and MANTRA led by data library staff in University of Edinburgh and concluded the model of best practices from curriculum goal,students,teaching methods,teaching materials and teaching evaluation.Experiences learn from best practices included funds and personnel support,focus on characteristics of field scientific data and data management requirements,kept the data literacy courses sustainable and so on. |
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| Keywords: | libraries abroad data literacy education best practice research data management |
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