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Realizing the promise of population biobanks: a new model for translation
The promise of science lies in expectations of its benefits to societies and is matched by expectations of the realisation of the significant public investment in that science. In this paper, we undertake a methodological analysis of the science of biobanking and a sociological analysis of translati...
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/PMC3155676/ https://www.ncbi.nlm.nih.gov/pubmed/21706184 http://dx.doi.org/10.1007/s00439-011-1036-3 |
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author | Murtagh, Madeleine J. Demir, Ipek Harris, Jennifer R. Burton, Paul R. |
author_facet | Murtagh, Madeleine J. Demir, Ipek Harris, Jennifer R. Burton, Paul R. |
author_sort | Murtagh, Madeleine J. |
collection | PubMed |
description | The promise of science lies in expectations of its benefits to societies and is matched by expectations of the realisation of the significant public investment in that science. In this paper, we undertake a methodological analysis of the science of biobanking and a sociological analysis of translational research in relation to biobanking. Part of global and local endeavours to translate raw biomedical evidence into practice, biobanks aim to provide a platform for generating new scientific knowledge to inform development of new policies, systems and interventions to enhance the public’s health. Effectively translating scientific knowledge into routine practice, however, involves more than good science. Although biobanks undoubtedly provide a fundamental resource for both clinical and public health practice, their potentiating ontology—that their outputs are perpetually a promise of scientific knowledge generation—renders translation rather less straightforward than drug discovery and treatment implementation. Biobanking science, therefore, provides a perfect counterpoint against which to test the bounds of translational research. We argue that translational research is a contextual and cumulative process: one that is necessarily dynamic and interactive and involves multiple actors. We propose a new multidimensional model of translational research which enables us to imagine a new paradigm: one that takes us from bench to bedside to backyard and beyond, that is, attentive to the social and political context of translational science, and is cognisant of all the players in that process be they researchers, health professionals, policy makers, industry representatives, members of the public or research participants, amongst others. |
format | Online Article Text |
id | pubmed-3155676 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-31556762011-09-21 Realizing the promise of population biobanks: a new model for translation Murtagh, Madeleine J. Demir, Ipek Harris, Jennifer R. Burton, Paul R. Hum Genet Original Investigation The promise of science lies in expectations of its benefits to societies and is matched by expectations of the realisation of the significant public investment in that science. In this paper, we undertake a methodological analysis of the science of biobanking and a sociological analysis of translational research in relation to biobanking. Part of global and local endeavours to translate raw biomedical evidence into practice, biobanks aim to provide a platform for generating new scientific knowledge to inform development of new policies, systems and interventions to enhance the public’s health. Effectively translating scientific knowledge into routine practice, however, involves more than good science. Although biobanks undoubtedly provide a fundamental resource for both clinical and public health practice, their potentiating ontology—that their outputs are perpetually a promise of scientific knowledge generation—renders translation rather less straightforward than drug discovery and treatment implementation. Biobanking science, therefore, provides a perfect counterpoint against which to test the bounds of translational research. We argue that translational research is a contextual and cumulative process: one that is necessarily dynamic and interactive and involves multiple actors. We propose a new multidimensional model of translational research which enables us to imagine a new paradigm: one that takes us from bench to bedside to backyard and beyond, that is, attentive to the social and political context of translational science, and is cognisant of all the players in that process be they researchers, health professionals, policy makers, industry representatives, members of the public or research participants, amongst others. Springer-Verlag 2011-06-25 2011 /pmc/articles/PMC3155676/ /pubmed/21706184 http://dx.doi.org/10.1007/s00439-011-1036-3 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 Investigation Murtagh, Madeleine J. Demir, Ipek Harris, Jennifer R. Burton, Paul R. Realizing the promise of population biobanks: a new model for translation |
title | Realizing the promise of population biobanks: a new model for translation |
title_full | Realizing the promise of population biobanks: a new model for translation |
title_fullStr | Realizing the promise of population biobanks: a new model for translation |
title_full_unstemmed | Realizing the promise of population biobanks: a new model for translation |
title_short | Realizing the promise of population biobanks: a new model for translation |
title_sort | realizing the promise of population biobanks: a new model for translation |
topic | Original Investigation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3155676/ https://www.ncbi.nlm.nih.gov/pubmed/21706184 http://dx.doi.org/10.1007/s00439-011-1036-3 |
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