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Data integrity, reliability and fraud in medical research
Mark Otto Baerlocher1, Jeremy O'Brien, Marshall Newton
1University of Toronto Radiology Residency Program, Toronto, Ontario, 13 Marshview Drive, Sackville, New Brunswick, Canada E4L 3B2. mark.baerlocher@utoronto.ca
European Journal of Internal Medicine
|February 4, 2010
Summary
Medical research data integrity is a concern, with many authors encountering errors and some discovering fraud. While safeguards are used, their inconsistent application highlights ongoing challenges in ensuring reliable scientific literature.
Area of Science:
- Medical Research
- Academic Publishing
- Data Integrity
Background:
- Collective trust in academic research relies on data reliability.
- Existing data integrity standards are inconsistently applied, risking errors and fraud in publications.
Purpose of the Study:
- To investigate the prevalence of data errors, reliability safeguards, and fraudulent data among medical academics.
- To understand the consequences of data issues in medical literature.
Main Methods:
- Survey of corresponding authors from leading medical journals (JAMA, CMAJ, BMJ, Lancet) between 1998-2003.
- Electronic questionnaire focused on authors' experiences with data reliability, errors, and interpretation.
Main Results:
- 65% response rate; 21% of authors found incorrect data in prior publications.
- 4% reported discovering fraudulent data, and 4% noted 'smudged' data.
- 87% used safeguards (e.g., author review, double entry), yet 21% were involved in papers with interpretation disagreements.
Conclusions:
- Data reliability is a persistent challenge in medical research.
- A notable percentage of researchers do not consistently employ data reliability safeguards.
- While research fraud occurs, its reported prevalence is not high.
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