Interdisciplinary Approaches and Strategies from Research Reproducibility 2020: Educating for Reproducibility

IF 1.5 Q2 EDUCATION, SCIENTIFIC DISCIPLINES Journal of Statistics and Data Science Education Pub Date : 2021-07-01 DOI:10.1080/26939169.2022.2104767
M. Rethlefsen, H. Norton, Sarah L. Meyer, Katherine A. MacWilkinson, Plato L. Smith II, Haoyang Ye
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引用次数: 1

Abstract

Abstract Research Reproducibility: Educating for Reproducibility, Pathways to Research Integrity was an interdisciplinary, conference hosted virtually by the University of Florida in December 2020. This event brought together educators, researchers, students, policy makers, and industry representatives from across the globe to explore best practices, innovations, and new ideas for education around reproducibility and replicability. Emphasizing a broad view of rigor and reproducibility, the conference touched on many aspects of introducing learners to transparency, rigorous study design, data science, data management, replications, and more. Transdisciplinary themes emerged from the panels, keynote, and submitted papers and poster presentations. The identified themes included lifelong learning, cultivating bottom-up change, “sneaking in” learning, just-in-time learning, targeting learners by career stage, learning by doing, learning how to learn, establishing communities of practice, librarians as interdisciplinary leaders, teamwork skills, rewards and incentives, and implementing top-down change. For each of these themes, we share ideas, practices, and actions as discussed by the conference speakers and attendees.
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2020年研究可重复性的跨学科方法和策略:可重复性教育
摘要研究再现性:再现性教育,研究诚信之路是一个跨学科会议,于2020年12月由佛罗里达大学虚拟主办。此次活动汇集了来自全球各地的教育工作者、研究人员、学生、政策制定者和行业代表,围绕可复制性和可复制性探索最佳实践、创新和教育新理念。会议强调了严谨性和可重复性的广泛观点,涉及向学习者介绍透明度、严格的研究设计、数据科学、数据管理、复制等方面。小组讨论、主题演讲、提交的论文和海报展示中出现了跨学科主题。确定的主题包括终身学习、培养自下而上的变革、“潜入式”学习、及时学习、按职业阶段针对学习者、边做边学、学习如何学习、建立实践社区、图书馆员作为跨学科领导者、团队合作技能、奖励和激励以及实施自上而下的变革。对于每一个主题,我们都会分享会议发言人和与会者讨论的想法、实践和行动。
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来源期刊
Journal of Statistics and Data Science Education
Journal of Statistics and Data Science Education EDUCATION, SCIENTIFIC DISCIPLINES-
CiteScore
3.90
自引率
35.30%
发文量
52
审稿时长
12 weeks
期刊最新文献
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