The state of academic publishing is in a truly dreadful state. The same monopolies that created the industry hundreds of years ago have never been pushed out and innovate in the slowest way possible, aqui-murdering even worse than EA when they have to. Online journals and the promise they provide are peddled by high pressure sales pitches who insist on absurdly high prices. For many institutions, when taking usage st…
Project: Very briefly, I'm working on collecting raw data (positive AND negative), indexing it, and making relationships between datasets. For example, my neuroscience study has relationships to cancer biology, so the data presented to the user would include results from both.
Re: Publishing, I'm going to provide raw data to scientists and create a venue for them to "blog" about these datasets. I think science needs to move incrementally (at internet speed) and get away from taking 3 years to produce a study and publishing a big paper of only positive data. Also, I'd like for the "peer review" portion to be more transparent, so that we can avoid the insane bias that goes into peer review.
Goal 2: Create "big data" by combining small academic science results into a big ass database. Meta data could be the new preliminary data for academic grants.
So yeah, if anyone is interested in playing with this, let me know. klg2142 @t columbia.edu