The Replication Database: Making transparent what replicated and what did not
Tue-HS1-Talk V-02
Presented by: Christopher Albert Doetsch
When building on other people's findings, researchers are faced with the fact that a considerable proportion of these findings do not replicate. To facilitate the separation of the wheat from the chaff in a system where the publication of replication attempts is still associated with their outcome, we created the Replication Database (ReD). Via an interactive website, researchers can search and summarize replication attempts from a community-augmented dataset that includes studies from the Reproducibility Project Psychology, Many Labs studies, results registered on the OSF, individually submitted replication attempts, and many more. The database including all data and code is available online: https://metaanalyses.shinyapps.io/replicationdatabase/
Keywords: replication, database, meta-analysis, reproducibility, crisis