This is nice gesture, but in my experience, especially for medium/large experiments, it almost definitely won't be applicable to analysis software, private datasets/raw data/metadata, and more specifically middleware. It doesn't really help with reproducible results in the cases which might be most interesting. For medium to big data experiments, most source code is often useless without the (often custom or proprietary) middleware used for processing the data. For very large experiments, there is likely no canonical dataset and all "datasets" are actually generated on-demand (at least those might be covered under this).
For software, and especially middleware, some universities will be very reluctant to give that up, especially because many times the majority of the software/middleware isn't actually funded through the NSF, but maybe through a computing division, foreign institution, or international collaboration, for example. At the very least, they'll likely want to assert a restrictive copyright on the license and likely even attempt to patent some of the methods (a la Google). Researchers themselves may be reluctant to give up code: Some (maybe most?) universities have profit sharing too.
At the very least, however, it is a policy researchers can point to.
I always wondered when reading papers how anybody could reproduce the conclusions (p-values, that sort) from the data.
One simple solution would be every time you have some data analysis, you set up a VM or Docker type thing with your dataset and your code. That way other people can download it and run it, see your results, and tinker.
If someone has read the actual report, what is the plan for data? Neither the linked press release nor the homepage of the plan[1] say that data will be shared; they only mention papers.
For software, and especially middleware, some universities will be very reluctant to give that up, especially because many times the majority of the software/middleware isn't actually funded through the NSF, but maybe through a computing division, foreign institution, or international collaboration, for example. At the very least, they'll likely want to assert a restrictive copyright on the license and likely even attempt to patent some of the methods (a la Google). Researchers themselves may be reluctant to give up code: Some (maybe most?) universities have profit sharing too.
At the very least, however, it is a policy researchers can point to.