教育领域心理研究的数据:聚焦点,数据基础设施和研究结果
Sonja Bayer1, Katarina Blask2, Timo Gnambs3
1DIPF | Leibniz Institute for Research and Information in Education, DE.
Journal of open psychology data
|July 21, 2025
概括
开放式数据共享在科学中至关重要,但教育研究面临着访问 FAIR 数据的挑战. 这本收藏突出了教育中共享的心理数据,以鼓励其使用.
科学领域:
- 教育心理学教育心理学
- 数据科学数据科学数据科学
- 研究方法研究方法研究方法学
背景情况:
- 在科学研究中,越来越重视开放数据和数据共享.
- 在教育领域获得FAIR (可查找,可访问,可互操作和可重复使用) 数据的重大挑战.
- 需要更好的数据可访问性,以推进教育研究.
研究的目的:
- 为了应对教育研究中FAIR数据访问的挑战.
- 突出在教育研究中共享的心理数据.
- 鼓励在个别研究项目中使用共享的研究数据.
主要方法:
- 策划和展示教育中共享心理数据的例子.
- 在数据共享中证明遵守FAIR原则.
- 编制一个专项收集,专注于教育研究数据.
主要成果:
- 识别符合FAIR原则的教育中的心理数据集.
- 提供了教育研究中成功的数据共享实践示例.
- 一个展示共享教育研究数据可用性的集合.
结论:
- 教育中的共享心理数据正在变得更加容易获得.
- 遵守FAIR原则有助于数据共享和重复使用.
- 这种特殊的数据收集旨在刺激进一步的数据共享和在教育研究中的利用.
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