Let's distinguish two types of "negative" studies: one is a study whose result simply failed to be positive. "We performed exome sequencing in a kindred but failed to identify a common mutation in all affected members of the family." There are so many possible error modes, including erroneous fundamental assumptions about where this family's defect lies, that this is possibly uninteresting to virtually anyone.
The second type is a study that was done in a way that was powered to detect a positive result, had it been there. "We performed a randomized controlled trial in 1,000 patients with hemochromatosis to determine whether iron chelation was non-inferior to bloodletting for the treatment of hemochromatosis. We found that iron chelation failed to achieve non-inferiority." In this example (which is made up), this is a negative result that teaches us something immediately, and which could change practice (or could tell everyone that practice is not about to change despite rumors of a potentially new therapy).
Along these lines, to prevent these valuable yet "negative" trials from going unpublished, high-end medical journals such as the New England Journal of Medicine are now requiring that all trials enter into a registry.
Problem is, you don't want a high publication count in such a hypothetical journal. That's the other side of publication bias.
EDIT: But perhaps I'm being too cynical (must be the New Year). Such a journal has been constructed.
With luck, it will be wildly (un)successful :).
a lot of people are kind of grumpy about null hypotheses not being published, for example papers of the form "we tried X and weren't able to make it work, here is how we tried". that is an 'unsuccessful' result (maybe you just suck), but some people would like to be able to read through stories of failure to see if there is a way to be successful. the journal of the null hypothesis (http://www.jasnh.com/) is an effort to do something like this, but it's generally the punchline of jokes...
As an example, my friend is doing honours research right now, and her supervisor is very emphatic that she should do an experiment that will be 'successful' so she can publish it. My question is, doesn't performing an 'unsuccessful' experiment progress the state of the art as much as proving something? If a reasonable researcher might have an idea, and I prove it won't work, why wouldn't that be shared within the community as a negative result?