Cargando…
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...
Autores principales: | , , |
---|---|
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 |
_version_ | 1782389269752446976 |
---|---|
author | Siebert, Sabina Machesky, Laura M. Insall, Robert H. |
author_facet | Siebert, Sabina Machesky, Laura M. Insall, Robert H. |
author_sort | Siebert, Sabina |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4563216 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-45632162015-09-15 Overflow in science and its implications for trust Siebert, Sabina Machesky, Laura M. Insall, Robert H. eLife Feature Article 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. eLife Sciences Publications, Ltd 2015-09-14 /pmc/articles/PMC4563216/ /pubmed/26365552 http://dx.doi.org/10.7554/eLife.10825 Text en © 2015, Siebert et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Feature Article Siebert, Sabina Machesky, Laura M. Insall, Robert H. Overflow in science and its implications for trust |
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 | Feature Article |
url | 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 |
work_keys_str_mv | AT siebertsabina overflowinscienceanditsimplicationsfortrust AT macheskylauram overflowinscienceanditsimplicationsfortrust AT insallroberth overflowinscienceanditsimplicationsfortrust |