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Scientific approaches to science policy
The development of robust science policy depends on use of the best available data, rigorous analysis, and inclusion of a wide range of input. While director of the National Institute of General Medical Sciences (NIGMS), I took advantage of available data and emerging tools to analyze training time...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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The American Society for Cell Biology
2013
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814158/ https://www.ncbi.nlm.nih.gov/pubmed/24174459 http://dx.doi.org/10.1091/mbc.E13-07-0400 |
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author | Berg, Jeremy M. |
author_facet | Berg, Jeremy M. |
author_sort | Berg, Jeremy M. |
collection | PubMed |
description | The development of robust science policy depends on use of the best available data, rigorous analysis, and inclusion of a wide range of input. While director of the National Institute of General Medical Sciences (NIGMS), I took advantage of available data and emerging tools to analyze training time distribution by new NIGMS grantees, the distribution of the number of publications as a function of total annual National Institutes of Health support per investigator, and the predictive value of peer-review scores on subsequent scientific productivity. Rigorous data analysis should be used to develop new reforms and initiatives that will help build a more sustainable American biomedical research enterprise. |
format | Online Article Text |
id | pubmed-3814158 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | The American Society for Cell Biology |
record_format | MEDLINE/PubMed |
spelling | pubmed-38141582014-01-16 Scientific approaches to science policy Berg, Jeremy M. Mol Biol Cell ASCB Award Essays The development of robust science policy depends on use of the best available data, rigorous analysis, and inclusion of a wide range of input. While director of the National Institute of General Medical Sciences (NIGMS), I took advantage of available data and emerging tools to analyze training time distribution by new NIGMS grantees, the distribution of the number of publications as a function of total annual National Institutes of Health support per investigator, and the predictive value of peer-review scores on subsequent scientific productivity. Rigorous data analysis should be used to develop new reforms and initiatives that will help build a more sustainable American biomedical research enterprise. The American Society for Cell Biology 2013-11-01 /pmc/articles/PMC3814158/ /pubmed/24174459 http://dx.doi.org/10.1091/mbc.E13-07-0400 Text en © 2013 Berg. This article is distributed by The American Society for Cell Biology under license from the author(s). Two months after publication it is available to the public under an Attribution–Noncommercial–Share Alike 3.0 Unported Creative Commons License (http://creativecommons.org/licenses/by-nc-sa/3.0). “ASCB®,” “The American Society for Cell Biology®,” and “Molecular Biology of the Cell®” are registered trademarks of The American Society of Cell Biology. |
spellingShingle | ASCB Award Essays Berg, Jeremy M. Scientific approaches to science policy |
title | Scientific approaches to science policy |
title_full | Scientific approaches to science policy |
title_fullStr | Scientific approaches to science policy |
title_full_unstemmed | Scientific approaches to science policy |
title_short | Scientific approaches to science policy |
title_sort | scientific approaches to science policy |
topic | ASCB Award Essays |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3814158/ https://www.ncbi.nlm.nih.gov/pubmed/24174459 http://dx.doi.org/10.1091/mbc.E13-07-0400 |
work_keys_str_mv | AT bergjeremym scientificapproachestosciencepolicy |