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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Main Authors: Sabina Siebert, Laura M. Machesky, Robert H. Insall
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2015-09-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/10825
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author Sabina Siebert
Laura M. Machesky
Robert H. Insall
author_facet Sabina Siebert
Laura M. Machesky
Robert H. Insall
author_sort Sabina Siebert
collection DOAJ
description 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.
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spelling doaj.art-22fde2eb0868479285f57c298f4ccf832022-12-22T04:32:26ZengeLife Sciences Publications LtdeLife2050-084X2015-09-01410.7554/eLife.10825Overflow in science and its implications for trustSabina Siebert0Laura M. Machesky1Robert H. Insall2Adam Smith Business School, University of Glasgow, Glasgow, United KingdomCRUK Beatson Institute for Cancer Research, University of Glasgow, Glasgow, United KingdomCRUK Beatson Institute for Cancer Research, University of Glasgow, Glasgow, United KingdomTo 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.https://elifesciences.org/articles/10825point of viewreproducibilityoverflowtrust in sciencescientific conduct
spellingShingle Sabina Siebert
Laura M. Machesky
Robert H. Insall
Overflow in science and its implications for trust
eLife
point of view
reproducibility
overflow
trust in science
scientific conduct
title Overflow in science and its implications for trust
title_full Overflow in science and its implications for trust
title_fullStr Overflow in science and its implications for trust
title_full_unstemmed Overflow in science and its implications for trust
title_short Overflow in science and its implications for trust
title_sort overflow in science and its implications for trust
topic point of view
reproducibility
overflow
trust in science
scientific conduct
url https://elifesciences.org/articles/10825
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AT laurammachesky overflowinscienceanditsimplicationsfortrust
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