NSF announces plan for comprehensive public access to research results
nsf.gov
nsf.gov
This plan is for articles to be widely available like two years after being written. One year after publication [1], which can be a year after the article is written [2].
Imagine a blogging platform that took two years between pressing "publish" and the article appearing online. It sounds like a Kafkaesque nightmare, but here it is, hailed as a breakthrough. The scientific community is as much to blame as the publishers.
[1] "NSF will require that articles ... be available for download ... within one year of publication." (linked article)
[2] http://www.quora.com/What-is-the-duration-of-peer-reviews-fo...
EDIT: The tepid reaction surprises me. We are on the verge of big advances in artificial intelligence, anti-aging, space travel, and we direly need new energy sources. Yet people are pleased with a two year delay disseminating the most important research? The heartbeat of progress is the time it takes to disseminate information. The status quo is absurd and we should be angry about it.
This is a bit of a strawman, don't you think? Researchers, the vast majority of whom are located in corporate R&D labs and universities, already have the subscriptions to big digital libraries so they can download papers as soon as they are published.
The move towards open access mostly affects practising engineers outside this environment, and I think a delay of a year or two is acceptable in this scenario.
I frequently hear scientists say that they would like to publish their data sets and source code, but don't know how to do it, or don't have a public place to put it. This NSF announcement streamlines solutions for these items.
Like GitHub but for publishing scientific data and code.
[1] http://ascl.net/
FigShare.com is a DataCite member that has a nice interface for uploading and giving DOIs to research content.
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.
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.
(Actually, I didn't realize the NSF wasn't on board with this already)
Incidentally, I realized that my GP statement might make people think I work at the NSF, and I don't. I work at Ohio Supercomputer Center and this was announced to us via an internal mailing list.
In physics we do already have that with the arxiv.org (though there are no public discussions) but it works darn well in my sub-field and others. We cannot wait for most other disciplines to have an epiphany. So grant agencies forcing publishers AND authors to open access their material will bring us a huge step forward towards solving the most challenging problems of our time.