One exciting thing is happening in my field: http://proceedings.dtu.dk/fedora/repository/dtu:233/OBJ/DOIusage-adataproducercase.pdf http://proceedings.dtu.dk/fe

One exciting thing is happening in my field: http://proceedings.dtu.dk/fedora/repository/dtu:233/OBJ/DOIusage-adataproducercase.pdf http://proceedings.dtu.dk/fedora/repository/dtu:233/OBJ/DOIu... The TL;DR is that one international user facility is creating a universal locator for data that you can cite in your publications to point people to the raw data, which is curated by the facility and openly accessible. This is extremely cool! It may be of limited use without metadata about how the experiment was performed, but has the potential to be rather useful. The DOE in the US is moving to put more of the research published with its grant money into the public domain--either with preprints, or if the publishers can be encouraged, the final articles (this seems to be under development). For some of my friends in statistics, there seems to be a move towards reproducible research where you try to preserve the toolchain that was used to reduce the data--this is considerably harder. So, I think that there's progress being made, but it takes time for change. Also, unless there are requirements from funding institutions, it's hard for individuals to justify the time requirements involved. While most of my raw data is on the web and a I put out a number of my reduction tools, maintaining the whole tool chain would be rather difficult.