Recommendations for open data science

Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are ful...

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Detalles Bibliográficos
Autores principales: Gymrek, Melissa, Farjoun, Yossi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Commentary
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870738/
https://www.ncbi.nlm.nih.gov/pubmed/27195107
http://dx.doi.org/10.1186/s13742-016-0127-4
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author Gymrek, Melissa
Farjoun, Yossi
author_facet Gymrek, Melissa
Farjoun, Yossi
author_sort Gymrek, Melissa
collection PubMed
description Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences.
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spelling pubmed-48707382016-05-19 Recommendations for open data science Gymrek, Melissa Farjoun, Yossi Gigascience Commentary Life science research increasingly relies on large-scale computational analyses. However, the code and data used for these analyses are often lacking in publications. To maximize scientific impact, reproducibility, and reuse, it is crucial that these resources are made publicly available and are fully transparent. We provide recommendations for improving the openness of data-driven studies in life sciences. BioMed Central 2016-05-18 /pmc/articles/PMC4870738/ /pubmed/27195107 http://dx.doi.org/10.1186/s13742-016-0127-4 Text en © Gymrek and Farjoun. 2016 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Commentary
Gymrek, Melissa
Farjoun, Yossi
Recommendations for open data science
title Recommendations for open data science
title_full Recommendations for open data science
title_fullStr Recommendations for open data science
title_full_unstemmed Recommendations for open data science
title_short Recommendations for open data science
title_sort recommendations for open data science
topic Commentary
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4870738/
https://www.ncbi.nlm.nih.gov/pubmed/27195107
http://dx.doi.org/10.1186/s13742-016-0127-4
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