没有代码书的数据集:民族学和开放科学
Shamus Khan1, Jennifer S Hirsch2, Ohad Zeltzer-Zubida3
1Departments of Sociology and American Studies, Princeton University, Princeton, NJ, United States.
Frontiers in sociology
|March 20, 2024
概括
民族学中的开放数据可能会损害数据质量和受试者的匿名性. 需要进一步的研究来了解开放数据实践对民族学研究的影响,以便在广泛采用之前.
科学领域:
- 社会科学 社会科学 社会科学
- 人类学是人类学.
- 社会学 社会学 社会学
背景情况:
- 在科学研究中,对开放数据的要求越来越多.
- 人种学研究对数据共享和开放提出了独特的挑战.
- 现有的开放数据框架可能与民族学方法不一致.
研究的目的:
- 批判性地评估开放数据原则在民族学研究中的适用性和影响.
- 检查开放数据实践对种族学中的数据质量和主题保密性的潜在影响.
- 质疑开放数据对所有科学学科的普遍益处.
主要方法:
- 在关于性暴力的民族学研究中对个人经历的反思.
- 分析开放数据的认识论,政治经济和监管逻辑.
- 评估开放数据原则与种族数据收集和分析的实用性.
主要成果:
- 开放数据实践可能会损害民族学数据的质量.
- 在开放数据政策下确保受试者的匿名性可能会阻碍数据复制.
- 开放数据的逻辑并不总是与民族学的本体学和认识论基础相兼容.
结论:
- 在没有经验评估的情况下盲目采用民族学中的开放数据原则是不建议的.
- 需要进一步的研究,以了解开放数据对民族学数据质量和完整性的具体影响.
- 在接受开放数据之前,民族学社区和资助机构应该仔细考虑后果.
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