Indiana University School of Public Health, Bloomington, IN, 47403, USA.
Project TIER, Haverford College, Haverford, Pennsylvania, 19041, USA.
F1000Res. 2020 Oct 14;9:1235. doi: 10.12688/f1000research.26594.1. eCollection 2020.
As part of a coordinated effort to expand research activity around rigor, reproducibility, and transparency (RRT) across scientific disciplines, a team of investigators at the Indiana University School of Public Health-Bloomington hosted a workshop in October 2019 with international leaders to discuss key opportunities for RRT research. The workshop aimed to identify research priorities and opportunities related to RRT. Over two-days, workshop attendees gave presentations and participated in three working groups: (1) Improving Education & Training in RRT, (2) Reducing Statistical Errors and Increasing Analytic Transparency, and (3) Looking Outward: Increasing Truthfulness and Accuracy of Research Communications. Following small-group discussions, the working groups presented their findings, and participants discussed the research opportunities identified. The investigators compiled a list of research priorities, which were circulated to all participants for feedback. Participants identified the following priority research questions: (1) Can RRT-focused statistics and mathematical modeling courses improve statistics practice?; (2) Can specialized training in scientific writing improve transparency?; (3) Does modality (e.g. face to face, online) affect the efficacy RRT-related education?; (4) How can automated programs help identify errors more efficiently?; (5) What is the prevalence and impact of errors in scientific publications (e.g., analytic inconsistencies, statistical errors, and other objective errors)?; (6) Do error prevention workflows reduce errors?; (7) How do we encourage post-publication error correction?; (8) How does 'spin' in research communication affect stakeholder understanding and use of research evidence?; (9) Do tools to aid writing research reports increase comprehensiveness and clarity of research reports?; and (10) Is it possible to inculcate scientific values and norms related to truthful, rigorous, accurate, and comprehensive scientific reporting? Participants identified important and relatively unexplored questions related to improving RRT. This list may be useful to the scientific community and investigators seeking to advance meta-science (i.e. research on research).
作为在各科学领域扩大严谨性、可重复性和透明性(RRT)研究活动的协调努力的一部分,印第安纳大学布卢明顿公共卫生学院的一组研究人员于 2019 年 10 月举办了一次研讨会,邀请国际领导人讨论 RRT 研究的关键机会。该研讨会旨在确定与 RRT 相关的研究重点和机会。在两天的时间里,研讨会参与者做了演讲,并参加了三个工作组:(1)提高 RRT 教育和培训;(2)减少统计误差和提高分析透明度;(3)向外看:提高研究传播的真实性和准确性。在小组讨论之后,工作组提出了他们的发现,参与者讨论了确定的研究机会。研究人员编制了一份研究重点清单,并分发给所有参与者征求意见。参与者确定了以下优先研究问题:(1)专注于 RRT 的统计学和数学建模课程能否改善统计学实践?;(2)专门的科学写作培训能否提高透明度?;(3)模态(例如面对面、在线)是否会影响 RRT 相关教育的效果?;(4)自动化程序如何帮助更有效地识别错误?;(5)科学出版物中的错误(例如分析不一致、统计错误和其他客观错误)的普遍性和影响是什么?;(6)错误预防工作流程是否减少错误?;(7)如何鼓励发布后错误更正?;(8)研究传播中的“扭曲”如何影响利益相关者对研究证据的理解和使用?;(9)帮助撰写研究报告的工具是否增加了研究报告的全面性和清晰度?;(10)是否有可能灌输与真实、严谨、准确和全面的科学报告相关的科学价值观和规范?参与者确定了与提高 RRT 相关的重要且相对未被探索的问题。该清单可能对科学界和寻求推进元科学(即研究研究)的研究人员有用。