With estimated replication rates ranging between 25% for social psychology and 50% for cognitive psychology, it has become clear that psychology suffers from a severe replicability problem. The open science movement strives to improve the way psychologists conduct, analyze, and publish studies through the use of open data and materials, registered reports, and research transparency.

This collection of articles highlights recent developments within open science in psychology, beginning with an introductory article addressing the current state of the debate in which seven major facets of methodological reforms are outlined. Two contributions explore the progress made and problems encountered in developing and refining methods for detecting publication biases, questionable research practices, and p-hacking. Two further articles exploring the development of the causal replication framework as a design tool for research replication and the results of the first long-term N-pact factor analysis as an indicator of journal quality complete this collection.