Overflow in science and its implications for trust.
Where this comes from
- Record sourced from PubMed, PMID 26365552.
- Also identified by DOI 10.7554/eLife.10825 and PMC identifier 4563216.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
To explore increasing concerns about scientific misconduct and data irreproducibility in some areas of science, we interviewed a number of senior biomedical researchers. These interviews revealed a perceived decline in trust in the scientific enterprise, in large part because the quantity of new data exceeds the field's ability to process it appropriately. This phenomenon-which is termed 'overflow' in social science-has important implications for the integrity of modern biomedical science.
Medical subject headings
- Biomedical Research
- Reproducibility of Results
- Research Personnel
- Scientific Misconduct