Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on...

27
Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June 17 – 19, 2009 Alexander Lerchl School of Engineering and Science Jacobs University Bremen [email protected]

Transcript of Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on...

Page 1: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Data deposition as a measure to prevent and to detect scientific misconduct

CERN workshop on Innovations in Scholarly Communication (OAI6)Geneva, June 17 – 19, 2009

Alexander LerchlSchool of Engineering and Science

Jacobs University [email protected]

Page 2: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

The REFLEX Project

• Funded by the European Commission

• 2000 – 2004, ~ 3 M€ budget

• 12 research groups from 7 European countries

• Coordinator: Franz Adlkofer, Munich (Verum Foundation)

• 8 Publications from Austria (Medical University Vienna)

Page 3: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

The First Case: Diem et al., 2005

Page 4: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Huge Effects on DNA Molecules andExtremely Low Standard Deviations

Page 5: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

A Letter-to-the-Editor, Vijayalaxmi et al., 2006

Page 6: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

...

Page 7: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

The Reply: Rüdiger et al., 2006

Page 8: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Original data!

n = 2 for all means!

Page 9: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Last digit preference!

Out of 48 last digits:2: 14 times5: 2 timesp<0.001

Page 10: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Variations lower

than theoretical

limits!

Page 11: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

24 average valueseach: n=2

Coefficients of variation always lower than 5%.

Accuracy of the method ~ 25%!

Page 12: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

What did Mutation Research do?

• Nothing.

Page 13: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Onlin

e Feb

ruar

y 20

08

The Second Case: Schwarz et al., 2008

Page 14: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Again: Huge Effects and Negligible Standard Deviations

Page 15: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Coefficients of Variation

• Sham exposed: 3.9%

• Negative controls: 4.1%

• Exposed: 2.6%(at 25% variations of the SAR values!!)

• Positive controls: 1.2%

Page 16: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Please keep in mind: n=3!

Page 17: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Two Fortunate Coincidences

1) The discovery of Christian Wolf

2) The discovery of a student

Page 18: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

The Discovery of Wolf: How to Unblind the Exposure System

Page 19: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

The Discovery of the Student: Hidden Data

The student: „Just do a right-click on the graph, and open the Excel sheet. The original data are then visible“.

So I did ....

Page 20: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

n = 12, and not n = 3 !

So, n = 12, and not n = 3!

Page 21: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Calculated “Raw“ Data

Page 22: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

What did Int Arch Occup Health do?

• (Almost) Nothing.

Page 23: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Reactions of the Medical University Vienna

• In three press releases, the University called the data “fabricated“

• They informed the journals accordingly

Page 24: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Outlook

• None of the papers in question (altogether eight) has been retracted (so far).

• For example:

Page 25: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Outlook

• COPE (Committee on Publication Ethics) is currently considering a complaint against the journals [Mutation Research and IAEOH] to investigate whether they followed COPE's recommended procedures.

Page 26: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Conclusions

• These cases highlight the need for deposition of original data when a manuscript is submitted in order to make investigations possible if suspicions about the scientific integrity of submitted or published articles arise. This is of particular importance for papers dealing with topics of potential public concerns.

Page 27: Data deposition as a measure to prevent and to detect scientific misconduct CERN workshop on Innovations in Scholarly Communication (OAI6) Geneva, June.

Thank you for Your Attention!

Questions?