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How anonymous
post-publication peer review
uncovers bad science
Leonid Schneider,
science journalist
with Laborjournal
leonid.schneider@gmail.com
Twitter: @schneiderleonid
Junior scientists are often told by their advisors:
- If you can deliver this result,
you will publish a nice paper and have a job
- If you don’t deliver this result,
you will not publish any paper and have no job
Is bad science
individual or systemic failure?
$$$
Authors and institutions have little incentive to
produce reliable quality science
Paper-to-funding convertion
Funding used for research…
Journals and funding agencies prefer
simplistic, but sensationalist “break-through” science
• Cancer cure!
• Stem cells /”Reprogramming”
• One-Gene-Phenotype models
• Translational/Commercial
potential
Biological systems
are very complicated,
but in biological papers
simplicity rules!
Scientists occasionally help data to fit their
theoretical model for a publication
• Selective data acquisition and evaluation
(very common)
• “Adjustments” or manipulation of data
(less common)
• Data falsification / fraud
(very rare)
Peer review weeds out bad science. Really?
• Data is submitted on trust as
being honest/reliable
• Peer Reviewers are scientist
colleagues, not data specialists
• Peer Reviewers only analyse
science, not data integrity
• Peer review is not always done
diligently enough
How did this pass
peer review????
$$$
Traditional
peer
review
Traditional peer review is anything but transparent
Years and years of research…
- Journal Editors
- Decide on Quality,
Novelty, Impact
- Appoint peer
reviewers
- Make final decisions
- Peer Reviewers
- 1-4 people
- Unknown to authors
or readers
- Potential COI,
personal animosities,
lack of competence…
$$$
Too many financial and personal interests involved
Years and years of research…
Convincing peer reviewers is by far
the most important task of a scientist
A peer-reviewed paper is a badge of honour
Things surely changed for him
since he published in Nature…
• Publications are public
evidence of success
• They are to be admired
and not questioned
• Often not the content
counts, but where it is
published
Scientists waste time, money and their careers trying to
reproduce unreliable or manipulated results
• Poor reproducibility in combination with high competition
undermines productivity, but also work moral, trust and
motivation
• It leads to even more data manipulation and fraud in science
What do you do if you spot data irregularities or
irreproducibility in a published paper?
1. Write to authors
2. Write to journal
3. Write to authors’
institution
What happens if a published paper is reported
to be wrong or even contain manipulated data?
1. Correction (rare)
2. Retraction (even rarer)
3. Nothing (most common)
Your paper is wrong,
professor!
See you at the
exam…
Individual criticisms are unwelcome and dangerous
• Financial interests behind publications
prevent institutional investigations
• Institutions often refuse to react to
anonymous hints
• Whistle-blowers are often punished or
dismissed as incompetent or malicious
Solution: make valid criticisms public,
but anonymously!
• Publicly available valid criticisms
are much more difficult to be
ignored
• Whistle-blowers are protected by
the anonymity under which they
are free to post concerns
More on this:
http://www.laborjournal.de/editorials/424_11.lasso
Adam Marcus
Ivan Oransky
Retraction Watch takes whistle-blowers seriously
PubPeer allows anonymous post-publication
peer review, including evidence
On PubPeer you could ask critical questions anonymously
Or, you can post evidence of data irregularities on PubPeer,
also anonymously
I have some issues
with your paper, Sir!
Pros and cons of anonymous commenting
(aka witch-hunts)
• Protects whistle-blowers
• Only objective evidence and
arguments matter, not who has
raised them or why or where
• Unsubstantiated claims,
personal insults
• Sock-puppeting (also by authors!)
Against:
For:
PubPeer protects the anonymity, even when
the criticized scientists go to court
Blog post at Laborjournal about this interesting and
useful experience:
http://www.laborjournal.de/blog/?p=8281
Autors also reply to
PubPeer criticisms, often
constructively
STAP: one of the biggest fraud scandals uncovered,
thanks to post-publication peer review on PubPeer
Photo credit: Maigrot/REA
The case Olivier Voinnet
• PhD with Sir David
Baulcombe at
The Sainsbury
Laboratory, Norwich
• Research leader at
CNRS institute in
Strasbourg (age 33)
• Professor at ETH
Zürich (since 2010)
Photo credit: Maigrot/REA
The case Olivier Voinnet
• EMBO Gold Medal
(2009)
• EMBO Member
• EMBO Young
Investigator grant
• ERC start-up grant
• Max-Rössler-Prize
(ETH Zürich, 2013)
It started with people finding irregularities in
David Baulcombe’s papers
Olivier Voinnet publications
flagged on PubPeer
Olivier Voinnet and other involved reply on PubPeer
and promise to investigate
Vicki Vance
Professor of Botany, University of South Carolina
Vicki Vance: the key Whistle-Blower in Voinnet case
To be continued?
How anonymous post-publication peer review uncovers bad science

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How anonymous post-publication peer review uncovers bad science

  • 1. How anonymous post-publication peer review uncovers bad science Leonid Schneider, science journalist with Laborjournal leonid.schneider@gmail.com Twitter: @schneiderleonid
  • 2. Junior scientists are often told by their advisors: - If you can deliver this result, you will publish a nice paper and have a job - If you don’t deliver this result, you will not publish any paper and have no job Is bad science individual or systemic failure?
  • 3. $$$ Authors and institutions have little incentive to produce reliable quality science Paper-to-funding convertion Funding used for research…
  • 4. Journals and funding agencies prefer simplistic, but sensationalist “break-through” science • Cancer cure! • Stem cells /”Reprogramming” • One-Gene-Phenotype models • Translational/Commercial potential Biological systems are very complicated, but in biological papers simplicity rules!
  • 5. Scientists occasionally help data to fit their theoretical model for a publication • Selective data acquisition and evaluation (very common) • “Adjustments” or manipulation of data (less common) • Data falsification / fraud (very rare)
  • 6. Peer review weeds out bad science. Really? • Data is submitted on trust as being honest/reliable • Peer Reviewers are scientist colleagues, not data specialists • Peer Reviewers only analyse science, not data integrity • Peer review is not always done diligently enough How did this pass peer review????
  • 7. $$$ Traditional peer review Traditional peer review is anything but transparent Years and years of research…
  • 8. - Journal Editors - Decide on Quality, Novelty, Impact - Appoint peer reviewers - Make final decisions - Peer Reviewers - 1-4 people - Unknown to authors or readers - Potential COI, personal animosities, lack of competence… $$$ Too many financial and personal interests involved Years and years of research…
  • 9. Convincing peer reviewers is by far the most important task of a scientist
  • 10. A peer-reviewed paper is a badge of honour Things surely changed for him since he published in Nature… • Publications are public evidence of success • They are to be admired and not questioned • Often not the content counts, but where it is published
  • 11. Scientists waste time, money and their careers trying to reproduce unreliable or manipulated results • Poor reproducibility in combination with high competition undermines productivity, but also work moral, trust and motivation • It leads to even more data manipulation and fraud in science
  • 12. What do you do if you spot data irregularities or irreproducibility in a published paper? 1. Write to authors 2. Write to journal 3. Write to authors’ institution
  • 13. What happens if a published paper is reported to be wrong or even contain manipulated data? 1. Correction (rare) 2. Retraction (even rarer) 3. Nothing (most common)
  • 14. Your paper is wrong, professor! See you at the exam… Individual criticisms are unwelcome and dangerous • Financial interests behind publications prevent institutional investigations • Institutions often refuse to react to anonymous hints • Whistle-blowers are often punished or dismissed as incompetent or malicious
  • 15. Solution: make valid criticisms public, but anonymously! • Publicly available valid criticisms are much more difficult to be ignored • Whistle-blowers are protected by the anonymity under which they are free to post concerns
  • 16. More on this: http://www.laborjournal.de/editorials/424_11.lasso Adam Marcus Ivan Oransky Retraction Watch takes whistle-blowers seriously
  • 17. PubPeer allows anonymous post-publication peer review, including evidence
  • 18. On PubPeer you could ask critical questions anonymously
  • 19. Or, you can post evidence of data irregularities on PubPeer, also anonymously
  • 20. I have some issues with your paper, Sir! Pros and cons of anonymous commenting (aka witch-hunts) • Protects whistle-blowers • Only objective evidence and arguments matter, not who has raised them or why or where • Unsubstantiated claims, personal insults • Sock-puppeting (also by authors!) Against: For:
  • 21. PubPeer protects the anonymity, even when the criticized scientists go to court
  • 22. Blog post at Laborjournal about this interesting and useful experience: http://www.laborjournal.de/blog/?p=8281 Autors also reply to PubPeer criticisms, often constructively
  • 23. STAP: one of the biggest fraud scandals uncovered, thanks to post-publication peer review on PubPeer
  • 24. Photo credit: Maigrot/REA The case Olivier Voinnet • PhD with Sir David Baulcombe at The Sainsbury Laboratory, Norwich • Research leader at CNRS institute in Strasbourg (age 33) • Professor at ETH Zürich (since 2010)
  • 25. Photo credit: Maigrot/REA The case Olivier Voinnet • EMBO Gold Medal (2009) • EMBO Member • EMBO Young Investigator grant • ERC start-up grant • Max-Rössler-Prize (ETH Zürich, 2013)
  • 26. It started with people finding irregularities in David Baulcombe’s papers
  • 28. Olivier Voinnet and other involved reply on PubPeer and promise to investigate
  • 29. Vicki Vance Professor of Botany, University of South Carolina Vicki Vance: the key Whistle-Blower in Voinnet case