The Software Sustainability Institute
By Sarah Gibson, Anna Krystalli, Arshad Emmambux, Alexandra Simperler, Tom Russell, and Doug Lowe Like history, reproducible data processing is just one, um, thing after another. When the number of tools, models or steps in a process grows beyond a handful, we start to feel the need for some automation or structure. Running the same sequence of tools over multiple data? Capturing the steps of an analysis for collaborators or students to repeat, modify and extend? Conducting a scenario analysis using coupled models? Workflow, pipeline and model coupling tools all respond to the need for reliable, reproducible analysis.
"We are in a position to fundamentally reorganise the heart of the software. By doing so, this will enable us to maintain the software into the future and facilitate the process of adding new functionality to the software ... SSI can assist in having software usable by others not just for a few months or a year, but rather for a much longer software lifetime"
- Eric Rexstad, Distance