Open Science is a collection of actions designed to make scientific processes more transparent and results more accessible. Its goal is to build a more replicable and robust science; it does so using new technologies, altering incentives, and …
This article reports on an adversarial (but friendly) collaboration examining the issues that lie at the intersection of confidentiality and open-data practices. We describe the process we followed to share our data for a speed-dating article we …
The OSF Collections repository platform supports the discoverability and reuse of research by enabling the aggregation of related projects across OSF. With OSF Collections, any funder, journal, society, or research community can show their commitment …
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. …
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 …