Open Data and Materials

A blog about statistics and open science

Statistical analysis is error prone. A best practice for researchers using statistics would therefore be to share data among co-authors, allowing double-checking of executed tasks just as co-pilots do in aviation. To document the extent to which this …

A podcast about stereotype threat and replication

Swirl teaches you R programming and data science interactively, at your own pace, and right in the R console!

A collection of activities to teach APA writing and statistics

An excel spreadsheet about collection of open science items

Research data is accumulating rapidly and with it the challenge of fully reproducible science. As a consequence, implementation of high-quality management of scientific data has become a global priority. The FAIR (Findable, Accesible, Interoperable …

Three psychologists talk about doing science. Hosted by Sanjay Srivastava, Alexa Tullett, and Simine Vazire.

Psychology has been criticized recently for a range of research quality issues. The current article organizes these problems around the actions of the individual researcher and the existing norms of the field. Proposed solutions align the incentives …

The GO FAIR Foundation's FAIR Capacity Building Programme provides professional and qualified training for data stewards who aspire to use methods developed under the Three-Point FAIRificaiton Framework (3PFF) in their daily work to make data and …