Open Data and Materials

 

Changing the Culture of Peer Review for a More Inclusive and Equitable Psychological Science

Peer review is a core component of scientific progression. Although peer review ideally improves research and promotes rigor, it also has consequences for what types of research are published and cited, and who wants to (and is able to) advance in …

Clusters

In order to teach Open and Reproducible Science effectively, educators need to make sense of almost a decade of literature, across several fields, and be informed about ongoing (and often dynamic) debates. This is a tall ask for most educators. So …

Community-Sourced Glossary of Open Scholarship Terms.

In order to reduce barriers to entry and understanding, we present a Glossary of terms relating to open scholarship. We aim that the glossary will help clarify terminologies, including where terms are used differently/interchangeably or where terms …

Course on Open Science 101

These lectures and tutorials introduce students to the scientific process and open research practices, in order to ensure that psychological research is as rigorous, transparent and, ultimately, as reproducible as possible. We also consider …

Crisis research, fast and slow

A blog about the crisis of research

Data Management and Data Sharing in Psychological Science: Revision of the DGPs Recommendations

Providing access to research data collected as part of scientific publications and publicly funded research projects is now regarded as a central aspect of an open and transparent scientific practice and is increasingly being called for by funding …

Data Management for Psychological Science: A Crowdsourced Syllabus

Data management - including data preparation, cleaning, storage, and sharing - is critical to psychological research. Despite its importance, data management is rarely formally taught to students. This syllabus provides detailed descriptions of data …

DES RAP Book: Reproducible Discrete-Event Simulation in Python and R

Step-by-step guide for building Python and R simulation models as part of a reproducible analytical pipeline (RAP).

Developing a comprehensive directory of tools and technologies for social science research methods

How to introduce your students to the gamut of software that can support their research projects

Evaluating What Works

This book is not a how-to-do-it manual, so much as a why-to-do-it. Our main goal is to instill in the reader awareness of the numerous sources of bias that can lead to mistaken conclusions when evaluating interventions. Real-life examples are …
JUST-OS