Open and Reproducible Research Series

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.

Join us for a presentation on the TIB Knowledge Loom, an Open Science digital library of analysis-ready scientific knowledge.

Source: Open Science Framework

A little more than a decade ago, two cancer‑research labs spent a year unable to reproduce each other’s experiments.