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A global perspective on evolving bioinformatics and data science training needs

Bioinformatics is now intrinsic to life science research, but the past decade has witnessed a continuing deficiency in this essential expertise. Basic data stewardship is still taught relatively rarely in life science education programmes, creating a chasm between theory and practice, and fuelling d...

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Detalles Bibliográficos
Autores principales: Attwood, Teresa K, Blackford, Sarah, Brazas, Michelle D, Davies, Angela, Schneider, Maria Victoria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6433731/
https://www.ncbi.nlm.nih.gov/pubmed/28968751
http://dx.doi.org/10.1093/bib/bbx100
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author Attwood, Teresa K
Blackford, Sarah
Brazas, Michelle D
Davies, Angela
Schneider, Maria Victoria
author_facet Attwood, Teresa K
Blackford, Sarah
Brazas, Michelle D
Davies, Angela
Schneider, Maria Victoria
author_sort Attwood, Teresa K
collection PubMed
description Bioinformatics is now intrinsic to life science research, but the past decade has witnessed a continuing deficiency in this essential expertise. Basic data stewardship is still taught relatively rarely in life science education programmes, creating a chasm between theory and practice, and fuelling demand for bioinformatics training across all educational levels and career roles. Concerned by this, surveys have been conducted in recent years to monitor bioinformatics and computational training needs worldwide. This article briefly reviews the principal findings of a number of these studies. We see that there is still a strong appetite for short courses to improve expertise and confidence in data analysis and interpretation; strikingly, however, the most urgent appeal is for bioinformatics to be woven into the fabric of life science degree programmes. Satisfying the relentless training needs of current and future generations of life scientists will require a concerted response from stakeholders across the globe, who need to deliver sustainable solutions capable of both transforming education curricula and cultivating a new cadre of trainer scientists.
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spelling pubmed-64337312019-04-01 A global perspective on evolving bioinformatics and data science training needs Attwood, Teresa K Blackford, Sarah Brazas, Michelle D Davies, Angela Schneider, Maria Victoria Brief Bioinform Paper Bioinformatics is now intrinsic to life science research, but the past decade has witnessed a continuing deficiency in this essential expertise. Basic data stewardship is still taught relatively rarely in life science education programmes, creating a chasm between theory and practice, and fuelling demand for bioinformatics training across all educational levels and career roles. Concerned by this, surveys have been conducted in recent years to monitor bioinformatics and computational training needs worldwide. This article briefly reviews the principal findings of a number of these studies. We see that there is still a strong appetite for short courses to improve expertise and confidence in data analysis and interpretation; strikingly, however, the most urgent appeal is for bioinformatics to be woven into the fabric of life science degree programmes. Satisfying the relentless training needs of current and future generations of life scientists will require a concerted response from stakeholders across the globe, who need to deliver sustainable solutions capable of both transforming education curricula and cultivating a new cadre of trainer scientists. Oxford University Press 2017-08-29 /pmc/articles/PMC6433731/ /pubmed/28968751 http://dx.doi.org/10.1093/bib/bbx100 Text en © The Author 2017. Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Paper
Attwood, Teresa K
Blackford, Sarah
Brazas, Michelle D
Davies, Angela
Schneider, Maria Victoria
A global perspective on evolving bioinformatics and data science training needs
title A global perspective on evolving bioinformatics and data science training needs
title_full A global perspective on evolving bioinformatics and data science training needs
title_fullStr A global perspective on evolving bioinformatics and data science training needs
title_full_unstemmed A global perspective on evolving bioinformatics and data science training needs
title_short A global perspective on evolving bioinformatics and data science training needs
title_sort global perspective on evolving bioinformatics and data science training needs
topic Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6433731/
https://www.ncbi.nlm.nih.gov/pubmed/28968751
http://dx.doi.org/10.1093/bib/bbx100
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