title: Overflow in science and its implications for trust.
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.
authors.affiliation: Adam Smith Business School, University of Glasgow, Glasgow, United Kingdom.
authors.forename: Sabina
authors.initials: S
authors.lastname: Siebert
authors.affiliation: CRUK Beatson Institute for Cancer Research, University of Glasgow, Glasgow, United Kingdom.
authors.forename: Laura M
authors.initials: LM
authors.lastname: Machesky
authors.affiliation: CRUK Beatson Institute for Cancer Research, University of Glasgow, Glasgow, United Kingdom.
authors.forename: Robert H
authors.initials: RH
authors.lastname: Insall
mesh_terms: D035843:Biomedical Research / Q000941:ethics*; D006801:Humans; D007407:Interviews as Topic; D015203:Reproducibility of Results; D012108:Research Personnel / Q000523:psychology*; D015871:Scientific Misconduct
keywords: overflow; point of view; reproducibility; scientific conduct; trust in science