Software skills for reproducible data-intensive research

Large quantities of ecological and environmental data are increasingly available for modeling and understanding ecological systems. Getting the most out of this data requires computational skills that are rarely taught in ecology. I will discuss modern software skills that help facilitate reproducible data-intensive research including approaches for analyzing datasets that are too large to fit into memory and the emerging field of continuous analysis that allows analyses of large datasets to be automatically rerun every time changes are made to the analysis code or new data becomes available.