Building the Reproducible Computational Science Movement: Catalyzing Action Through Policy, Software Tools, and Ideas

The movement toward reproducible computational science  — where the code used to generate the results are made conveniently available along with the published paper — has accelerated dramatically in the last few years. Fields as diverse as statistics, bioinformatics, geosciences, and applied math are making efforts to publish reproducible findings, and journal publication and funding agency requirements are changing. I will discuss the changing landscape of openness in computational science, motivate the reproducible research movement, and discuss my recent work in enabling code and data release through legal and policy standards, as well as new software tools for sharing and deposit. In particular I will discuss very recent work on changes in scholarly journal publication requirements.