Getting started with open science and knowing where to go. This webinar will introduce participants to major practices in open science and then dive into the resources available to learn how to use these in your own work.
Because scientists tend to report only studies (publication bias) or analyses (p-hacking) that “work,” readers must ask, “Are these effects true, or do they merely reflect selective reporting?” We introduce p-curve as a way to answer this question. …
PathOS is a Horizon Europe project aiming to collect concrete evidence of Open Science effects, study the pathways of Open Science practices, from input to output, outcome and impact, including the consideration of enabling factors and key barriers.
Sport healthcare and performance support practitioners require data to inform clinical and performance decisions, identify risk factors and investigate the efficacy and effectiveness of different interventions. Data sharing is a key component to …
A growing interest in and concern about the adequacy and fairness of modern peer-review practices in publication and funding are apparent across a wide range of scientific disciplines. Although questions about reliability, accountability, reviewer …
Open access, open data, open source and other open scholarship practices are growing in popularity and necessity. However, widespread adoption of these practices has not yet been achieved. One reason is that researchers are uncertain about how …
A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the …
Widespread sharing of data and materials (including displays and text- and video-based descriptions of experimental procedures) will improve the reproducibility of psychological science and accelerate the pace of discovery. In this article, we …