开放数据共享对定性研究人员的挑战
Danielle Lamb1, Amy Russell2, Nicola Morant1
1UCL, UK.
Journal of health psychology
|March 15, 2024
概括
开放科学原则往往忽视了定性研究需求,引发了关于数据共享和复制的伦理担忧. 本评论主张更好地利用现有的定性数据,因为概念,伦理和经济上的好处.
科学领域:
- 社会科学 社会科学 社会科学
- 研究方法研究方法研究方法学
背景情况:
- 开放科学促进开放访问,数据共享和代码可用性,用于研究复制.
- 目前的开放科学任务不足以解决定性研究的独特方法论和伦理考虑.
研究的目的:
- 批判性地检查开放科学原则对定性研究的适用性.
- 突出分享完整的定性数据集的伦理和概念挑战.
- 倡导对现有的定性数据进行二次分析和再利用.
主要方法:
- 与定性方法相关的开放科学原则的概念分析.
- 关于发布和共享定性数据的伦理考虑.
- 数据重复使用的经济论据.
主要成果:
- 通过完整的数据集共享进行复制往往与定性研究范式不相容.
- 分享敏感的定性数据引发了重要的伦理问题.
- 现有的定性数据具有大量未开发的价值.
结论:
- 资助者,研究人员和出版商应制定对定性数据进行道德和有效的二次分析的策略.
- 优先重复使用现有的定性数据集提供了概念,伦理和经济方面的优势.
- 需要对开放科学采取细微的方法来进行定性研究.
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