Cargando…
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...
Autores principales: | , , , , |
---|---|
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 |
_version_ | 1783406331424669696 |
---|---|
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. |
format | Online Article Text |
id | pubmed-6433731 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT attwoodteresak aglobalperspectiveonevolvingbioinformaticsanddatasciencetrainingneeds AT blackfordsarah aglobalperspectiveonevolvingbioinformaticsanddatasciencetrainingneeds AT brazasmichelled aglobalperspectiveonevolvingbioinformaticsanddatasciencetrainingneeds AT daviesangela aglobalperspectiveonevolvingbioinformaticsanddatasciencetrainingneeds AT schneidermariavictoria aglobalperspectiveonevolvingbioinformaticsanddatasciencetrainingneeds AT attwoodteresak globalperspectiveonevolvingbioinformaticsanddatasciencetrainingneeds AT blackfordsarah globalperspectiveonevolvingbioinformaticsanddatasciencetrainingneeds AT brazasmichelled globalperspectiveonevolvingbioinformaticsanddatasciencetrainingneeds AT daviesangela globalperspectiveonevolvingbioinformaticsanddatasciencetrainingneeds AT schneidermariavictoria globalperspectiveonevolvingbioinformaticsanddatasciencetrainingneeds |