Resources

 

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

The Preregistration Challenge: A How To Guide

This video shows interested researchers how to get started on their own preregistration as part of the Preregistration Challenge. Learn how to create a new draft, find example preregistrations from different fields, respond to comments from the …

The psychology of experimental psychologists: Overcoming cognitive constraints to improve research: The 47th Sir Frederic Bartlett Lecture:

Like many other areas of science, experimental psychology is affected by a “replication crisis” that is causing concern in many fields of research. Approaches t...

The Role of Libraries in the Age of Computational Reproducibility

A lighting talk at csv,conf,4 about how libraries and librarians are helping researchers with reproducibility.

The Role Of Replication Research In Advancing Gerontological Science: Trajectories, Transitions, And Typologies

The analysis of longitudinal observational data can take many forms and requires many decisions, with research findings and conclusions often found to differ across independent longitudinal studies addressing the same question. Differences in …

The STEM Education Hub Helps Your Research Workflow with Open Tools

OSF-specific screenshots and walk-throughs are very helpful, preregistration also discusses qualitative preregistration

The Weak Spots in Contemporary Science (and How to Fix Them)

In this review, the author discusses several of the weak spots in contemporary science, including scientific misconduct, the problems of post hoc hypothesizing (HARKing), outcome switching, theoretical bloopers in formulating research questions and …

The What, Why, and How of Preregistration

More researchers are preregistering their studies as a way to combat publication bias and improve the credibility of research findings. Preregistration is at its core designed to distinguish between confirmatory and exploratory results. Both are …

Tools for Reproducible Research

Course summary A minimal standard for data analysis and other scientific computations is that they be reproducible: that the code and data are assembled in a way so that another group can re-create all of the results (e.g., the figures in a paper). …

TOP Guidelines

The Transparency and Openness Promotion guidelines include eight modular standards, each with three levels of increasing stringency. Journals select which of the eight transparency standards they wish to implement and select a level of implementation …

Toward Reproducible Computational Research: An Empirical Analysis of Data and Code Policy Adoption by Journals

Journal policy on research data and code availability is an important part of the ongoing shift toward publishing reproducible computational science. This article extends the literature by studying journal data sharing policies by year (for both 2011 …
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