Keeping Meta-Analyses Alive and Well: A Tutorial on Implementing and Using Community-Augmented Meta-Analyses in PsychOpen CAMA

Newly developed, web-based, open-repository concepts, such as community-augmented meta-analysis (CAMA), provide open access to fulfill the needs for transparency and timeliness of synthesized evidence. The main idea of CAMA is to keep meta-analyses up-to-date by allowing the research community to include new evidence continuously. In 2021, the Leibniz Institute for Psychology released a platform, PsychOpen CAMA, which serves as a publication format for CAMAs in all fields of psychology. The present work serves as a tutorial on implementing and using a CAMA in PsychOpen CAMA from a data-provider perspective, using six large-scale meta-analytic data sets on the dark triad of personality as a working example. First, the processes of data contribution and implementation of either new or updated existing data sets are summarized. Furthermore, a step-by-step tutorial on using and interpreting CAMAs guides the reader through the web application. Finally, the tutorial outlines the major benefits and the remaining challenges of CAMAs in PsychOpen CAMA.

Automated summary

This article introduces a web-based open-repository concept called community-augmented meta-analysis (CAMA) for maintaining the timeliness and transparency of meta-analyses. Using large-scale meta-analytic datasets on the dark triad of personality in psychology as an example, the tutorial provides step-by-step guidance on data contribution, implementation, and usage of CAMAs, and outlines the major benefits and challenges.