I would like to eventually see a "science results build system", where experimenters can register (preferably ahead of time) the analytical methods they will us

I would like to eventually see a "science results build system", where experimenters can register (preferably ahead of time) the analytical methods they will use to analyze their data, expressed as runnable code. Any data sets already available, on which they plan to rely, will be similarly registered and made available to the "build system". When the study is complete, the researchers upload their data, in as raw a form as technology permits. All analysis performed on the data to achieve the results should be expressed through runnable code evaluated by the build system. Ideally 100% of this code would be registered in advance, though to be realistic, in practice we'd find some of it to be written along the way. Whether the code is registered in advance or written and registered along the way, in both cases the build system will have the complete code and data set, and will be able to reproduce the results. Ideally the experimenters simply take the output of the build system as their actual results. The scientific community will have complete visibility into the analytical methods of the study, since all data and analysis will have been captured by the build system. The build system would ideally be agnostic to tooling and data format. Perhaps it is something like a data store alongside a runtime platform, capable of taking a virtual machine image and a data set, and executing the VM with the data set as input. Tagline: "GitHub for scientific data and runnable experimental analysis"