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...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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eLife Sciences Publications Ltd
2015-09-01
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Series: | eLife |
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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. |
first_indexed | 2024-04-11T09:13:34Z |
format | Article |
id | doaj.art-22fde2eb0868479285f57c298f4ccf83 |
institution | Directory Open Access Journal |
issn | 2050-084X |
language | English |
last_indexed | 2024-04-11T09:13:34Z |
publishDate | 2015-09-01 |
publisher | eLife Sciences Publications Ltd |
record_format | Article |
series | eLife |
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 |
work_keys_str_mv | AT sabinasiebert overflowinscienceanditsimplicationsfortrust AT laurammachesky overflowinscienceanditsimplicationsfortrust AT roberthinsall overflowinscienceanditsimplicationsfortrust |