Why I retracted my Nature paper: correcting the scientific record
retractionwatch.wordpress.com
retractionwatch.wordpress.com
These high profile journals serve the purpose of publicizing discoveries that are thought to have far-reaching interest in science. However, at the same time, they have the strictest limitations on publications, meaning that the methods section, the foundation of science, are rarely described in any detail. So they have some of the worst practices for publication while supposedly chronicling the most important discoveries.
So while Nature/Science papers make the news and make people's careers, it's important to downweight the certainty of the finding until there is independent verification.
This is a near universal consequence of academia's incentives and extends into many of the sciences (although biology is most susceptible due to its complexity).
[1] http://www.nature.com/nature/journal/v483/n7391/full/483531a...
[2] http://www.nature.com/nrd/journal/v10/n9/full/nrd3439-c1.htm...
It is not simply a matter of incentives (although they play a part). Another issue is pure publication bias. If you get 'landmark' results, a paper is much more likely to publish then if you got the results everyone would expect. In many ways this is one of the necessary functions of the journals, as it allows people to look at the new stuff without sifting through many articles of expected stuff, but it does create a bias.
Add to that the incentives of needing to get published, and constrained resources, and a willingness to publish what could be sub-par methodologys (of course they are par), and it is clearly not the best system.
Every journal publishes novel and statistically significant findings, and probably encounter similar rates of type 1 error as Nature and Science. It's just that Nature and Science are more susceptible to human politicking and don't seem to face up to it.
Prestige is a relative thing, and there's nothing more prestigious than Nature (or Science). Your suggestions are good, but I think they would be more likely to be adopted first by a journal that isn't Nature or Science, that possibly wanted to compete with them.
I hope some lesser journal becomes greater, and soon.
If this fact is true, then there is a clear conflict of interest: Bellgrau et al. should have declared it and declined to review, or, barring this, the editors should have noticed it and ignored the review.
The editors are the ones who make the go/no-go decision. In my field, I've seen papers that are faulty and have been rejected by experts be accepted by major journals. There's a lot that goes into the go/no-go decision by an editor; I don't envy that job.
If the article is correct, then the editors at Nature may have made the wrong decision. Most of us are sufficiently un-expert in the field to make any conclusion.
I rarely read academic journals anymore but I had always assumed the top journals did a good job of filtering out bad papers and quickly retracting those that were later disproven. Like every human activity it is not so simple.
http://retractionwatch.wordpress.com/
Edit: Warning this is blog addictive - I just spent a solid hour reading. It's kinda science gossip but still important.
Jelte M. Wicherts, Rogier A. Kievit, Marjan Bakker and Denny Borsboom. Letting the daylight in: reviewing the reviewers and other ways to maximize transparency in science. Front. Comput. Neurosci., 03 April 2012 doi: 10.3389/fncom.2012.00020
http://www.frontiersin.org/Computational_Neuroscience/10.338...
on how to make the peer-review process in scientific publishing more reliable.
"With the emergence of online publishing, opportunities to maximize transparency of scientific research have grown considerably. However, these possibilities are still only marginally used. We argue for the implementation of (1) peer-reviewed peer review, (2) transparent editorial hierarchies, and (3) online data publication. First, peer-reviewed peer review entails a community-wide review system in which reviews are published online and rated by peers. This ensures accountability of reviewers, thereby increasing academic quality of reviews. Second, reviewers who write many highly regarded reviews may move to higher editorial positions. Third, online publication of data ensures the possibility of independent verification of inferential claims in published papers. This counters statistical errors and overly positive reporting of statistical results. We illustrate the benefits of these strategies by discussing an example in which the classical publication system has gone awry, namely controversial IQ research. We argue that this case would have likely been avoided using more transparent publication practices. We argue that the proposed system leads to better reviews, meritocratic editorial hierarchies, and a higher degree of replicability of statistical analyses."
The practices recommended in Wicherts's article would have made an incident like the earlier retraction from Nature reported here much less likely to be necessary in the first place.
What I would really like to see in such cases is not so much other people simply trying to reproduce the results, but an investigation into why one group got different results. Certainly it could be for a scientifically uninteresting reason -- ranging from outright fraud, to sloppy experimental technique causing contamination, to arithmetic errors in analyzing the results -- but it could also be for a scientifically interesting reason: perhaps they used cells from a different supplier that differ in some relevant property that nobody had previously noticed, for example.
In short, there might be some interesting discovery to be had, buried underneath the discrepancy. I hate to see us overlook that possibility in our haste to get the "right" answer.
Isn't there some concept of recusal, conflict of interest in allowing a researcher whose results are being challenged to review the challenge, and veto its acceptance? That's absurd on its face.
It is unfortunate that these occasionally impede the progress of science, and downstream, the eventual treatment of patients. Even so, much good work is done and will continue to be done into the future, despite politics.
On the other hand, is there a clear alternative? Is there a way to organize the review process such that the power of the editor is reduced, yet the quality is maintained? I'm not sure.
It seems like this would require non-anonymous open review and a some kind of rating/comment system for papers. It's possible that what ends up happening is that it creates more work for the reader in the same way that it takes effort to tease out a products true worth on Amazon. That might not be a bad thing at all.
Anonymous review exists for a reason and doesn't seem to have much to do with the first issue you raise: the owners of top journals collect large economic and intellectual rents from their monopoly ownership of the top journal name. I actually don't think the anonymity of the review has much to do with the issue raised by the OP, and I'd suggest putting it aside.
So you want some sort of rating system for papers. In the long term, this is usually citation count, but in the short term it probably has to be judged by a trusted human being. Right now, the journal editors fill this role not so much because they are particularly smart, but because their monopoly on the name ensures that all the best work will be sent to them.
Note, however, that just asking the smart scientists what they're reading is not enough. Reviewing articles, and coordinating multiple reviews, is hard work. Right now, the editors get compensated in cash (derived mostly on their name monopoly) and the scientists get compensated with the warm fuzzy idea that they helped the community, and maybe with some back scratching on their own paper from the editor in the future.
A potential solution needs to figure out which humans are going to be assessing papers for extremely important (which needn't be the same thing as the peer review), how they will be compensated, where the money will come from if they are compensated in cash, how to deal with the perverse effects of cash incentives, and how to prevent any small group of humans from controlling the process. This is not an easy problem.
The end result does not create more work for the reader, as something like the average of ratings received by a paper gives in many cases more information than just the name of the journal where it has been published. For example, this Nature paper currently has a rating of 2% on Epistemio, although it has been published in the prestigious Nature: http://www.epistemio.com/p/Jr3gS9VW .
The journal name is a too weak information as compared to individual ratings of papers, as the distribution of the quality of papers from a given journal is very skewed.
See also the papers in http://www.frontiersin.org/Computational_Neuroscience/resear...
I imagine the way reading this made me feel is similar to how an average person feels reading about complex computer science issues.
It's too bad it didn't turn out to be true as it would have been an incredible advancement in transplantation.