Reproducible Developmental Science: Why and How

公开和透明是可信、可靠的科学的基础。公开性和透明度使原始研究成果得以复制(可再现性)，并使用新的样本(可复制性)进行复制，这使研究结果更易于验证，从而使科学受益。该奖项为认知发展学会2019年双年度会议之前为期一天的预备会议提供资金，该会议将通过帮助认知发展研究人员在研究过程的所有阶段采用支持可再现性和可复制性的规范和做法来解决这一问题。这将增强实地的稳健性，并使更可靠的基础研究基础得以扩展和转化。符合可再现性和可复制性的规范，如预先登记假说和分析、共享数据和分析代码、充分支持研究以有效检验假说，将增强对已发表科学文献的信心。有助于嵌入这些规范和实践的培训将引导社会和行为科学朝着更大的重复性和可复制性方向发展。本次预会议将通过以下方面的演讲和教程实现认知发展科学的这一目标：1)认知发展科学面临的方法学和统计学挑战的科学证据；2)采用开放科学框架等工具进行实验室管理的好处；以及3)关于多实验室合作的问题。会议前将加强关于如何提高可重复性和可复制性的实用知识。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Openness and transparency are foundational to a credible, reliable science. Openness and transparency allow for original research results to be reproduced (reproducibility) and replicated using new samples (replicability), which benefit science by making findings easier to verify. This award funds a day-long preconference preceding the 2019 Biennial Meeting of the Cognitive Development Society that will address this issue by helping cognitive development researchers adopt norms and practices at all stages of the research process that support reproducibility and replicability. This will enhance the robustness of the field and allow for the extension and translation of a more reliable basic research foundation. Norms that are consistent with reproducibility and replicability, such as pre-registering hypotheses and analyses, sharing data and analytic code, and powering studies sufficiently to effectively test hypotheses will enhance confidence in the published scientific literature. Training that will aid in embedding these norms and practices will guide social and behavioral science towards greater reproducibility and replicability. This preconference will accomplish this goal for cognitive developmental science using presentations and tutorials on the 1) scientific evidence for the methodological and statistical challenges facing cognitive developmental science, 2) benefits of adopting tools such as the Open Science Framework for laboratory management, and 3) issues regarding multi-lab collaboration. The preconference will enhance the practical knowledge on ways in which reproducibility and replicability can be increased.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.