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Overflow in science and its implications for trust

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 dat...

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Detalles Bibliográficos
Autores principales: Siebert, Sabina, Machesky, Laura M., Insall, Robert H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4563216/
https://www.ncbi.nlm.nih.gov/pubmed/26365552
http://dx.doi.org/10.7554/eLife.10825
Descripción
Sumario: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.