在教育和心理学研究中数据共享的数据去识别:重要性,障碍和技术
Jeffrey A Shero1, Alexis E Swanz1, Allyson L Hanson1
1Vanderbilt University, Department of Special Education.
概括
本研究涉及研究中的数据共享,详细介绍了消除敏感信息识别的方法,以克服隐私问题. 它提供了方便开放科学和解决复制危机的实用技术.
科学领域:
- 教育研究教育研究
- 心理学研究 心理学研究
- 开放科学是一个开放的科学.
背景情况:
- 数据共享的历史背景.
- 目前的开放科学运动.
- 研究中的复制危机.
研究的目的:
- 讨论数据共享在教育和心理学研究中的重要性.
- 探索数据共享的障碍,重点关注数据去识别.
- 介绍数据去识别的技术,并提供建议.
主要方法:
- 审查历史数据共享实践.
- 分析数据共享的障碍,包括隐私问题.
- 详细介绍非扰动和扰动数据去识别方法.
主要成果:
- 强调数据去识别对于安全的数据共享的关键作用.
- 为各种类型的变量推特定的非识别技术.
- 开发了一个交互式教程,用于实施非识别方法.
结论:
- 强调数据共享对科学进步的重要性.
- 提供切实可行的解决方案,去识别研究数据.
- 通过可访问的工具促进采用开放科学实践.
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