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The selection of experts evaluating health projects for the EU Sixth Framework Program
AIM: The Framework Programmes for Research and Technological Development (FP) are the European Union’s funding programmes for research in Europe. The study analyses the features of external experts involved in evaluating the research proposals in FP6 (years 2003–2006) in the area of Life Sciences. S...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3172421/ https://www.ncbi.nlm.nih.gov/pubmed/21957333 http://dx.doi.org/10.1007/s10389-011-0395-5 |
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author | Quaglio, GianLuca Guardabasso, Vincenzo Olesen, Ole F. Draghia-Akli, Ruxandra |
author_facet | Quaglio, GianLuca Guardabasso, Vincenzo Olesen, Ole F. Draghia-Akli, Ruxandra |
author_sort | Quaglio, GianLuca |
collection | PubMed |
description | AIM: The Framework Programmes for Research and Technological Development (FP) are the European Union’s funding programmes for research in Europe. The study analyses the features of external experts involved in evaluating the research proposals in FP6 (years 2003–2006) in the area of Life Sciences. SUBJECTS AND METHODS: Experts were analysed with respect to nationality, gender, organisational affiliation and rotation. The correlations between the number of experts by nationality and scientific research indicators were also explored. RESULT: Experts from 70 countries participated, with 70% coming from 10 countries. The gender composition was relatively stable, with approximately 30% of female experts. The majority of experts came from higher education establishments (51%) and 12% from industry. About 40% of experts participated in the evaluation process two or more times. The number of experts by nationality was linearly correlated with gross national income (r = 0.95, p < 0.0001), population (r = 0.91, p < 0.0001), and number of research publications in health sciences (r = 0.93, p < 0.0001). However, using multiple linear regression analysis, only gross national income had partial regression coefficients significantly different from zero (p = 0.017). The observed value of experts for Italy (312) and Belgium (155) were higher than predicted by this regression model (231 and 71 respectively). CONCLUSION: The expert panels involved were balanced with respect to nationalities, whereas the gender distribution was lower than the target. There was a satisfactory degree of rotation of experts between evaluation rounds. The percentage of experts from industry was lower than expected. |
format | Online Article Text |
id | pubmed-3172421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-31724212011-09-26 The selection of experts evaluating health projects for the EU Sixth Framework Program Quaglio, GianLuca Guardabasso, Vincenzo Olesen, Ole F. Draghia-Akli, Ruxandra Z Gesundh Wiss Original Article AIM: The Framework Programmes for Research and Technological Development (FP) are the European Union’s funding programmes for research in Europe. The study analyses the features of external experts involved in evaluating the research proposals in FP6 (years 2003–2006) in the area of Life Sciences. SUBJECTS AND METHODS: Experts were analysed with respect to nationality, gender, organisational affiliation and rotation. The correlations between the number of experts by nationality and scientific research indicators were also explored. RESULT: Experts from 70 countries participated, with 70% coming from 10 countries. The gender composition was relatively stable, with approximately 30% of female experts. The majority of experts came from higher education establishments (51%) and 12% from industry. About 40% of experts participated in the evaluation process two or more times. The number of experts by nationality was linearly correlated with gross national income (r = 0.95, p < 0.0001), population (r = 0.91, p < 0.0001), and number of research publications in health sciences (r = 0.93, p < 0.0001). However, using multiple linear regression analysis, only gross national income had partial regression coefficients significantly different from zero (p = 0.017). The observed value of experts for Italy (312) and Belgium (155) were higher than predicted by this regression model (231 and 71 respectively). CONCLUSION: The expert panels involved were balanced with respect to nationalities, whereas the gender distribution was lower than the target. There was a satisfactory degree of rotation of experts between evaluation rounds. The percentage of experts from industry was lower than expected. Springer-Verlag 2011-02-08 2011 /pmc/articles/PMC3172421/ /pubmed/21957333 http://dx.doi.org/10.1007/s10389-011-0395-5 Text en © The Author(s) 2011 https://creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited. |
spellingShingle | Original Article Quaglio, GianLuca Guardabasso, Vincenzo Olesen, Ole F. Draghia-Akli, Ruxandra The selection of experts evaluating health projects for the EU Sixth Framework Program |
title | The selection of experts evaluating health projects for the EU Sixth Framework Program |
title_full | The selection of experts evaluating health projects for the EU Sixth Framework Program |
title_fullStr | The selection of experts evaluating health projects for the EU Sixth Framework Program |
title_full_unstemmed | The selection of experts evaluating health projects for the EU Sixth Framework Program |
title_short | The selection of experts evaluating health projects for the EU Sixth Framework Program |
title_sort | selection of experts evaluating health projects for the eu sixth framework program |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3172421/ https://www.ncbi.nlm.nih.gov/pubmed/21957333 http://dx.doi.org/10.1007/s10389-011-0395-5 |
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