Open and Reproducible Research

In this workshop, Yale’s Research Data Management Librarian, Dr. Brandon Miliate, will provide an introduction to using Yale Dataverse.

Thinking of using AI to help organize your files, to clean or analyze your data, or to help prepare a replication package?

Large-scale field data can be expensive and ephemeral, making transparency and reproducibility challenging but essential.

Join us for Yale’s first ReproducibiliTEA session, an informal reading group for faculty and other advanced researchers.

Have you ever gone back to or inherited a research project and wondered how to run the analysis code? 

Bridge the “it works on my machine” gap with portable, HPC-ready research environments.

ORR Lead Limor Peer gives an overview on reproducibility for the ISPS 2026 CSAP summer workshop.

Every package that’s published is verified for ‘computational reproducibility’ before it goes live.

At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. 

The Center for Open Science (COS) finds limited transparency in the social and behavioral sciences.