Often I see people say what they used to take the data and then the end result of the analysis, but never do I see any details whatsoever about the specific techniques or steps they took to transform the raw data into what ends up being published.
It's a very frustrating thing for me and I don't see a mainstream or more easily accessible way for me to post my raw data + analysis other than making a blog for myself, which I have no easy way of promoting in a paper.
I think it would be great to be the ones that set the tone for transparency and it would be a fantastic way of teaching others how to analyze data, or how to catch errors in someone's analysis.
Right now there's a huge wall of obscurity in that we have to take the author's word for it. I know many things cannot be reproduced in experimental science, but the analysis of the data should be. I can't see a reason why people would not want to share their data in academia since most people are funded by DOE, NSF, NIH and DOD and hence by the taxpayer. I think it would be great for pedagogical purposes, it would encourage best practices and it would help us be honest.