Economists have recently adopted pre-analysis plans in response to concerns about robustness and transparency in research. The increased use of registered pre-analysis plans has raised competing concerns that detailed plans are costly to create, …
Inspiration, creativity, discovery—all of these things start from a place of not knowing, and these researchers know how to navigate those uncertainties.​
Many scholars have raised concerns about the credibility of empirical findings in psychology, arguing that the proportion of false positives reported in the published literature dramatically exceeds the rate implied by standard significance levels. A …
How can we objectively define categories of truth in scientific thinking? How can we reliably measure the results of research? In this ground-breaking text, Dienes undertakes a comprehensive historical analysis of the dominant schools of thought, key …
Much has been said about significance testing – most of it negative. Methodologists constantly point out that researchers misinterpret p-values. Some say that it is at best a meaningless exercise and at worst an impediment to scientific discoveries. …
Data availability and reusability are critical to open research. The FAIR principles provide a minimal set of guiding principles for making data findable, accessible, interoperable and reusable. Open data are not necessarily FAIR, and FAIR data are …
Data curators play an important role in assessing data quality and take actions that may ultimately lead to better, more valuable data products. This study explores the curation practices of data curators working within US-based data repositories. We …
This page contains an open syllabus, assignments--including interactive multiple choice self-check questions--and rubrics for a semester-long course teaching open science through the lens of the UNESCO Recommendation on Open Science. The syllabus and …