DCER: sharing empirical computer science education data

DCER: sharing empirical computer science education data
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DCER：共享计算机科学教育经验数据

DOI：
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发表时间：
2008
期刊：
International Computing Education Research Workshop
影响因子：
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通讯作者：
L. Thomas
L. Thomas
中科院分区：
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文献类型：
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作者：
Kate Sanders;Brad Richards;J. Moström;V. Almstrum;S. Edwards;S. Fincher;Katherine Gunion;Mark S. Hall;Brian F. Hanks;S. Lonergan;R. McCartney;Briana B. Morrison;Jaime Spacco;L. Thomas

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在其他学科中，数据共享是常见的，有时甚至是必需的。在计算机科学教育研究中建立一种数据共享机制将使研究人员个人和社区受益。虽然说数据共享是可取的很容易，但要使其成为现实却困难得多。 本文报告了研究人员聚集在一个为期一天的NSF主办的研讨会上与SIGCSE 2008年举行的问题的检查。我们概述了开发一个存储库的优势和挑战，展示了其他领域的存储库如何解决这些挑战，描述了一个可能的原型系统的经验计算机科学教育数据，并讨论了如何推动项目向前发展。
Data sharing is common, and sometimes even required, in other disciplines. Creating a mechanism for data sharing in computer science education research will benefit both individual researchers and the community. While it is easy to say that data sharing is desirable, it is much more difficult to make it a practical reality. This paper reports on an examination of the issues involved by researchers who gathered at a one-day NSF-sponsored workshop held in connection with SIGCSE 2008. We outline the advantages and challenges of developing a repository, show how the challenges have been addressed by repositories in other fields, describe a possible prototype system for empirical computer science education data, and discuss how to move the project forward.