在人类表现研究项目中,努力提高可复制性
Jeffrey A Drocco1, Kyle Halliday2, Benjamin J Stewart1
1Biosciences and Biotechnology Division, Lawrence Livermore National Laboratory, Livermore, California, 94550, USA.
F1000Research
|September 18, 2024
概括
在数据共享有限的情况下,独立验证和验证 (IV&V) 策略可确保研究可重复性. 这种方法通过雇用交叉检查团队来验证发现,提高敏感研究领域的质量来提高科学严谨性.
科学领域:
- 生物学研究是生物学研究.
- 人类表现研究研究人类表现研究.
- 国防研究研究是国防研究.
背景情况:
- 确保研究有效性对于资助机构至关重要.
- 开放科学通过数据和代码共享来促进可复制性.
- 敏感的研究可能需要除了广泛的数据分布之外的替代验证方法.
研究的目的:
- 描述生物研究计划的独立验证和验证 (IV&V) 策略.
- 在数据共享受到限制的研究中促进可重复性.
- 提高科学成果的质量和有效性.
主要方法:
- 在测量生物适应性计划中实施了四个方面的IV&V战略.
- 建立了一个集中式数据存储和交换平台.
- 进行数据收集,模型测试和数据存档的质量保证/质量控制 (QA/QC).
主要成果:
- 在机构和研究人员的合作下,IV&V计划成功执行.
- 质量保证/质量控制改善了数据收集流程,并确定了实验错误.
- 坚持验证证实了研究模型的性能.
结论:
- 独立的验证团队可以在敏感的研究环境中确保可重复性.
- 这种有针对性的方法支持科学批评,提高研究质量.
- 在开放的数据共享是不可行的情况下,IV&V是促进科学诚信的宝贵工具.
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