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 …
Each OSL lab is comprised of three elements: An activity, A data set and A published article. The activities guide students through the reproduction of the results published in the journal Psychological Science. Activities also focus on different …
This book starts from the premise that there is a lot we can all do to increase the benefits of research.
Let’s consider the main limitations of research that is not carried out and shared in an open, transparent, and reproducible way:
If papers …
Many scientific fields are facing a reproducibility crisis, revealed where replication fails to reproduce findings from previous work. This irreproducibility leads to the promulgation of inappropriate evidence.
In this article, we present a model for determining how total research payoff depends on researchers’ choices of sample sizes, α levels, and other parameters of the research process. The model can be used to quantify various tradeoffs inherent in the …
This is an introductory guide for those working and considering working in the area of open research. It was drafted by members of the Open Research Competencies Coalition. There are many resources available on the topic of open research either aimed …
Qualitative training rarely acknowledges the role of emotions in both data collection and analysis. While bracketing emotions is an important part of reflexivity, emotions are both a source of data and a source of ‘work’ (Hochschild, Citation1983). …
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.