Peer Review Process in Peril

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MolaKule

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Paper retractions begin reawakening press skepticism about science
The academic publisher Springer announces that 64 papers are being pulled from 10 journals.

Steven T. Corneliussen
19 August 2015


Science and the Media:


An 18 August press release from Springer, the academic publisher that boasts of having “more than 200 Nobel Prize winners among the authors of [its] books and journal articles,” has begun renewing press attention to the issue of science’s credibility. The release begins:

Springer confirms that 64 articles are being retracted from 10 Springer subscription journals, after editorial checks spotted fake email addresses, and subsequent internal investigations uncovered fabricated peer review reports. After a thorough investigation we have strong reason to believe that the peer review process on these 64 articles was compromised. We reported this to the Committee on Publishing Ethics (COPE) immediately.

At the blog Retraction Watch, the resulting posting begins: “This is officially becoming a trend.” The blog quotes an unnamed Springer official: “We have further strengthened our the checks in our editorial offices as a result of this. We are working to support our external editors to make them aware of the issues and ensure that thorough checks of peer reviewers are completed.” The blog also quotes the official explaining that the papers’ authors may not have been involved in every case:
Findings suggest some third party agencies, offering pre-submission editing and submission assistance services to authors, may have been involved during the submission process. In situations where institutional investigations have found that authors have been inadvertently affected by the compromised peer review process, they will be encouraged to resubmit and go through a legitimate peer review process.

Within hours of Springer’s announcement, reports from only two news sources came up in a search at Google News. But each is well situated to stimulate widened press attention at a time when questions have been being asked in the media about science.

The Scientist, merely reporting, posted a piece called “Another mass retraction,” which begins by reporting that the discovery stemmed from “the hunch of an editor who noticed irregularities in the reviewers suggested by submitting authors.” But the Washington Post opens its report, headlined “Major publisher retracts 64 scientific papers in fake peer review outbreak,” with the trumpets of an exposé:
Made-up identities assigned to fake e-mail addresses. Real identities stolen for fraudulent reviews. Study authors who write glowing reviews of their own research, then pass them off as an independent report.

These are the tactics of peer review manipulators, an apparently growing problem in the world of academic publishing.

Peer review is supposed to be the pride of the rigorous academic publishing process. Journals get every paper reviewed and approved by experts in the field, ensuring that problematic research doesn’t make it to print.

But increasingly journals are finding out that those supposedly authoritative checks are being rigged.
---
Steven T. Corneliussen, a media analyst for the American Institute of Physics.

Physics Today Online, Monday, Aug. 24th.
 
Serious scientists should come and post on bitog instead.

The reviews they get may not be from their peers, but they sure will be critical!
 
One of my college professors would call a person that would publish something with the intent to deceive, "The captain of his own ship". He stated that anyone that would treat a receptive audience with such contempt should be tarred and feathered.
 
Given the way professors go like rabid dogs after tenure spots, ita no doubt to me that people are doing questionable things. More papers in high impact journals is a metric, as is serving as an editor and doing peer reviews.

I don't get the fake peer review results though. Those go via a chief editor or someone serving similarly, not the author. The editor has no vested interest.
 
Is someone pulling another Sokal hoax, Mola?
wink.gif
 
In a number of these circles publishing is seen as the main means for advancement. I spose the temptation is too much for some..
 
Over 1 million scientific articles are published every year...... Not sure how many are peer reviewed but 64 articles isnt even in the noise level. Its not hard to imagine there are 64 dishonest authors.
 
This unfortunate practice has been noted before. For instance giving negative reviews and then publishing similar articles sometime later. I'm not sure how one manages it? People are people and all to often, even in the world of academia, self interest and greed take precident over honesty and integrity, qualities that are becoming increasingly rare in today's world. I would ask how many of us have not at some time fallen victim to actions driven by jealousy and spite? It has to be said that reviewing a paper that is drafted by a competitor is a responsibility that many take very seriously but some unfortunately sometimes a few see it as an opportunity.
 
Quote:
People are people and all to often, even in the world of academia, self interest and greed take precident over honesty and integrity
It's not "even in" it's "especially in." They're almost solely dependent on .gov grants and special interest money. If I'm paying your bills you're going to say what I want you to.
 
I think it goes deeper than just the peer review process.

Science is based upon repeatable, verifiable experimentation and observation to verify or falsify an Hypothesis.

Computer modeling is being used more and more to push science into a dangerous area, I.E., taking computer modeling as reality.

Computer modeling is a tool, much as a wrench when working on a car. Did the wrench fix the car or did the intelligence behind it fix it?

Computer modeling is not scientific reality nor does it constitute verifiable experimentation and observation. Computer modeling is a helper tool to make computation easier.

Suppose I develop a gear set using a CAD package in which I use a FEA grid mesh and then dynamically model it. The result of the dynamic modeling is based on various first and second order differential equations, I.E., the physics of what I "think" is happening in the system.

Verification of the "dynamical" hypothesis is done by building a real gear set and making measurements (observing it), and then making corrections to the "computer" model for better correlation.

In other words, taking computer modeling as verification and making the assumption it is equal to physical reality is a mistake, IMHO.
 
I agree with you. I have encountered an increasing number of instances where too much reliance has been placed on 'modelling' without the much needed verification to prove the theory. So much so that now whenever I hear the word 'modelling' rightly or not it makes me cringe internally.
 
For many years I was employed in an evaluation engineering dept in one of the Honeywell divisions. This means testing of what the designers came up with. Oh yes, there were 'surprises' for those fellas as 'things' didn't quite match up to expectations-especially for the young pups with out too much experience.
 
Scientists started breaking the fundamental rules of science long ago and it's continued to get worse ever since. I'm afraid there is too much money in false science for a correction within to occur.
 
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Re: Modeling

Indeed. Lots of this going on in mixed signal design. It has to be built, verified and tested though to reveal the bugs the modeler never caught. Stray capacitance & inductance, coupled with high speed or gain can release the Magic Smoke contained within.
 
Politics and the old boy system ruins everything. You could be my best buddy that took a bullet for me. If I think you're scientifically wrong, I'll bust your chops.

That kind of thing doesn't happen here. When have we ever seen the bitog experts disagree publically? Show me one thread.
 
Originally Posted By: MolaKule

In other words, taking computer modeling as verification and making the assumption it is equal to physical reality is a mistake, IMHO.


Absolutely right.

I have experienced both in terms of peer review and in finding professors to perform funded research for me, that it is related to the dilution of the academic base with foreigners with questionable linguistic skills (yes, Ive given MAJOR comments in peer review due to the writing quality) and the fact that its much cheaper to sit a grad student (who is also a foreigner and willing to work like a dog) at a computer terminal to run simulations. Write code, be more of a hermit, minimize footprint in the laboratory space food fight and get your paper numbers up. Plenty of low impact factor journals will take this stuff without physical basis or test.

No validation, no traceable basis of the reality of things unless the code is read and re-run by a third party... Not happening.

At the same time, it is next to impossible to find quality AMERICAN (regardless of race or historic origin) students desiring to go to grad school and do the work, unless theyre trying to go into a tenured professor track themselves (which is usually only the top few students in an undergrad class).
 
Originally Posted By: turtlevette
Politics and the old boy system ruins everything.


Yet its interesting in that there are factions there too.

NSF views folks who get DoD funding to be part of an old boy system and they turn their noses up at those proposals. Have seen that firsthand with fundamental research that should have been funded by NSF but got caught in their system.

But at the same time, the creation and cycling of program directors and reviewers in NSF is also an old boy setup and can be tough to crack.
 
Originally Posted By: hatt
Quote:
People are people and all to often, even in the world of academia, self interest and greed take precident over honesty and integrity
It's not "even in" it's "especially in." They're almost solely dependent on .gov grants and special interest money. If I'm paying your bills you're going to say what I want you to.


And Im sure youll say that private industry can be much more innovative and do things better.

Until you look to see how they put their money where their mouth is. And what is happening with corporate CR&D which used to be a ripe source of funding to university professors and a great source of innovation? Gone. Offshored.
 
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