Literature DB >> 29643062

A Survey on Data Reproducibility and the Effect of Publication Process on the Ethical Reporting of Laboratory Research.

Delphine R Boulbes1, Tracy Costello2, Keith Baggerly3, Fan Fan1, Rui Wang1, Rajat Bhattacharya1, Xiangcang Ye1, Lee M Ellis4,5.   

Abstract

Purpose: The successful translation of laboratory research into effective therapies is dependent upon the validity of peer-reviewed publications. However, several publications in recent years suggested that published scientific findings could be reproduced only 11% to 45% of the time. Multiple surveys attempted to elucidate the fundamental causes of data irreproducibility and underscored potential solutions, more robust experimental designs, better statistics, and better mentorship. However, no prior survey has addressed the role of the review and publication process on honest reporting.Experimental Design: We developed an anonymous online survey intended for trainees involved in bench research. The survey included questions related to mentoring/career development, research practice, integrity, and transparency, and how the pressure to publish and the publication process itself influence their reporting practices.
Results: Responses to questions related to mentoring and training practices were largely positive, although an average of approximately 25% did not seem to receive optimal mentoring. A total of 39.2% revealed having been pressured by a principle investigator or collaborator to produce "positive" data. About 62.8% admitted that the pressure to publish influences the way they report data. The majority of respondents did not believe that extensive revisions significantly improved the manuscript while adding to the cost and time invested.Conclusions: This survey indicates that trainees believe that the pressure to publish affects honest reporting, mostly emanating from our system of rewards and advancement. The publication process itself affects faculty and trainees and appears to influence a shift in their ethics from honest reporting ("negative data") to selective reporting, data falsification, or even fabrication. Clin Cancer Res; 24(14); 3447-55. ©2018 AACR. ©2018 American Association for Cancer Research.

Entities:  

Year:  2018        PMID: 29643062      PMCID: PMC6050098          DOI: 10.1158/1078-0432.CCR-18-0227

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  23 in total

1.  Drug development: Raise standards for preclinical cancer research.

Authors:  C Glenn Begley; Lee M Ellis
Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

2.  The culture of cell culture practices and authentication--Results from a 2015 Survey.

Authors:  Leonard P Freedman; Mark C Gibson; Rosann Wisman; Stephen P Ethier; Howard R Soule; Yvonne A Reid; Richard M Neve
Journal:  Biotechniques       Date:  2015-10-01       Impact factor: 1.993

Review 3.  The costs of using unauthenticated, over-passaged cell lines: how much more data do we need?

Authors:  Peyton Hughes; Damian Marshall; Yvonne Reid; Helen Parkes; Cohava Gelber
Journal:  Biotechniques       Date:  2007-11       Impact factor: 1.993

Review 4.  The erosion of research integrity: the need for culture change.

Authors:  Lee M Ellis
Journal:  Lancet Oncol       Date:  2015-07       Impact factor: 41.316

5.  Cancer reproducibility project releases first results.

Authors:  Monya Baker; Elie Dolgin
Journal:  Nature       Date:  2017-01-18       Impact factor: 49.962

6.  Policy: NIH plans to enhance reproducibility.

Authors:  Francis S Collins; Lawrence A Tabak
Journal:  Nature       Date:  2014-01-30       Impact factor: 49.962

7.  Modelling the effects of subjective and objective decision making in scientific peer review.

Authors:  In-Uck Park; Mike W Peacey; Marcus R Munafò
Journal:  Nature       Date:  2013-12-04       Impact factor: 49.962

Review 8.  Peer review: a flawed process at the heart of science and journals.

Authors:  Richard Smith
Journal:  J R Soc Med       Date:  2006-04       Impact factor: 18.000

Review 9.  Causes for the persistence of impact factor mania.

Authors:  Arturo Casadevall; Ferric C Fang
Journal:  mBio       Date:  2014-03-18       Impact factor: 7.867

10.  The ghosts of HeLa: How cell line misidentification contaminates the scientific literature.

Authors:  Serge P J M Horbach; Willem Halffman
Journal:  PLoS One       Date:  2017-10-12       Impact factor: 3.240

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  7 in total

1.  Publication pressure and scientific misconduct: why we need more open governance.

Authors:  Simon Gandevia
Journal:  Spinal Cord       Date:  2018-09-07       Impact factor: 2.772

2.  Procedural and Methodological Quality in Preclinical Stroke Research-A Cohort Analysis of the Rat MCAO Model Comparing Periods Before and After the Publication of STAIR/ARRIVE.

Authors:  Jacqueline Friedrich; Ute Lindauer; Anke Höllig
Journal:  Front Neurol       Date:  2022-05-30       Impact factor: 4.086

3.  Enhancing reproducibility using interprofessional team best practices.

Authors:  Betsy Rolland; Elizabeth S Burnside; Corrine I Voils; Manish N Shah; Allan R Brasier
Journal:  J Clin Transl Sci       Date:  2020-07-16

4.  What have we learned?

Authors:  Peter Rodgers; Andy Collings
Journal:  Elife       Date:  2021-12-07       Impact factor: 8.140

5.  What's Right and Wrong in Preclinical Science: A Matter of Principled Investigation.

Authors:  Laura N Smith
Journal:  Front Behav Neurosci       Date:  2022-03-09       Impact factor: 3.558

6.  Ten tips for teaching research integrity to early career students: A perspective over 20 years.

Authors:  Maruxa Martinez-Campos
Journal:  Front Res Metr Anal       Date:  2022-08-26

Review 7.  Requirements and reliability of AI in the medical context.

Authors:  Yoganand Balagurunathan; Ross Mitchell; Issam El Naqa
Journal:  Phys Med       Date:  2021-03-13       Impact factor: 2.685

  7 in total

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