Resources

 

We have an amazing team who curated many resources for the community.

An exploratory test for an excess of significant findings

Background The published clinical research literature may be distorted by the pursuit of statistically significant results. Purpose: We aimed to develop a test to explore biases stemming from the pursuit of nominal statistical significance. Methods …

An Introduction to Registered Replication Reports at Perspectives on Psychological Science

An article about an Introduction to Registered Replication Reports at Perspectives on Psychological Science

An Introduction to Registered Reports for the Research Funder Community

In this webinar, Doctors David Mellor (Center for Open Science) and Stavroula Kousta (Nature Human Behavior) discuss the Registered Reports publishing workflow and the benefits it may bring to funders of research. Dr. Mellor details the workflow and …

An open investigation of the reproducibility of cancer biology research

It is widely believed that research that builds upon previously published findings has reproduced the original work. However, it is rare for researchers to perform or publish direct replications of existing results. The Reproducibility Project: …

An Open Science MRI Database of over 100 Synaesthetic Brains and Accompanying Deep Phenotypic Information

We provide a neuroimaging database consisting of 102 synaesthetic brains using state-of-the-art 3 T MRI protocols from the Human Connectome Project (HCP) which is freely available to researchers. This database consists of structural (T1- and …

An Open Science Primer for Social Scientists

“Open Science” has become a buzzword in academic circles. However, exactly what it means, why you should care about it, and – most importantly – how it can be put into practice is often not very clear to researchers. In this session of the SSDL, we …

An open source pharma roadmap

In an Essay, Matthew Todd and colleagues discuss an open source approach to drug development. This Essay outlines how open source methods of working could be applied to the discovery and development of new medicines. There are many potential …

Análisis y visualización de datos usando Python

Python es un lenguaje de programación general que es útil para escribir scripts para trabajar con datos de manera efectiva y reproducible. Esta es una introducción a Python diseñada para participantes sin experiencia en programación. Estas lecciones …

Analysis of Open Data and Computational Reproducibility in Registered Reports in Psychology

Ongoing technological developments have made it easier than ever before for scientists to share their data, materials, and analysis code. Sharing data and analysis code makes it easier for other researchers to re-use or check published research. …

Analytic Review as a Solution to the Misreporting of Statistical Results in Psychological Science

In this article, we propose analytic review (AR) as a solution to the problem of misreporting statistical results in psychological science. AR requires authors submitting manuscripts for publication to also submit the data file and syntax used during …
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