大规模可重复性验证的教学
Teaching for large-scale Reproducibility Verification
AI总结：
本研究通过培训本科生掌握数据可追溯性和可重复方法，提升其科研能力和职业素养。
摘要：
我们描述了一个独特的环境，其中来自不同科学和技术领域以及社会科学学科的本科生被培训在数据来源和可重复方法上，并将这些知识应用于已被有条件接受的手稿及其相关的复制包。我们详细描述了招募、培训和常规活动。虽然该活动不是常规课程的一部分，但通过显式培训可重复的方法和原则，以及通过在真实工作流程中反复应用来加强，这些技能和知识有助于这些本科生的教育，并为他们今后的工作和进一步学习做准备。
英文摘要：
We describe a unique environment in which undergraduate students from various STEM and social science disciplines are trained in data provenance and reproducible methods, and then apply that knowledge to real, conditionally accepted manuscripts and associated replication packages. We describe in detail the recruitment, training, and regular activities. While the activity is not part of a regular curriculum, the skills and knowledge taught through explicit training of reproducible methods and principles, and reinforced through repeated application in a real-life workflow, contribute to the education of these undergraduate students, and prepare them for post-graduation jobs and further studies.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
