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Biodiversity analysis in the digital era

This paper explores what the virtual biodiversity e-infrastructure will look like as it takes advantage of advances in ‘Big Data’ biodiversity informatics and e-research infrastructure, which allow integration of various taxon-level data types (genome, morphology, distribution and species interactio...

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Detalles Bibliográficos
Autores principales: La Salle, John, Williams, Kristen J., Moritz, Craig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971189/
https://www.ncbi.nlm.nih.gov/pubmed/27481789
http://dx.doi.org/10.1098/rstb.2015.0337
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author La Salle, John
Williams, Kristen J.
Moritz, Craig
author_facet La Salle, John
Williams, Kristen J.
Moritz, Craig
author_sort La Salle, John
collection PubMed
description This paper explores what the virtual biodiversity e-infrastructure will look like as it takes advantage of advances in ‘Big Data’ biodiversity informatics and e-research infrastructure, which allow integration of various taxon-level data types (genome, morphology, distribution and species interactions) within a phylogenetic and environmental framework. By overcoming the data scaling problem in ecology, this integrative framework will provide richer information and fast learning to enable a deeper understanding of biodiversity evolution and dynamics in a rapidly changing world. The Atlas of Living Australia is used as one example of the advantages of progressing towards this future. Living in this future will require the adoption of new ways of integrating scientific knowledge into societal decision making. This article is part of the themed issue ‘From DNA barcodes to biomes’.
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spelling pubmed-49711892016-09-05 Biodiversity analysis in the digital era La Salle, John Williams, Kristen J. Moritz, Craig Philos Trans R Soc Lond B Biol Sci Articles This paper explores what the virtual biodiversity e-infrastructure will look like as it takes advantage of advances in ‘Big Data’ biodiversity informatics and e-research infrastructure, which allow integration of various taxon-level data types (genome, morphology, distribution and species interactions) within a phylogenetic and environmental framework. By overcoming the data scaling problem in ecology, this integrative framework will provide richer information and fast learning to enable a deeper understanding of biodiversity evolution and dynamics in a rapidly changing world. The Atlas of Living Australia is used as one example of the advantages of progressing towards this future. Living in this future will require the adoption of new ways of integrating scientific knowledge into societal decision making. This article is part of the themed issue ‘From DNA barcodes to biomes’. The Royal Society 2016-09-05 /pmc/articles/PMC4971189/ /pubmed/27481789 http://dx.doi.org/10.1098/rstb.2015.0337 Text en © 2016 The Authors. http://creativecommons.org/licenses/by/4.0/ Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/, which permits unrestricted use, provided the original author and source are credited.
spellingShingle Articles
La Salle, John
Williams, Kristen J.
Moritz, Craig
Biodiversity analysis in the digital era
title Biodiversity analysis in the digital era
title_full Biodiversity analysis in the digital era
title_fullStr Biodiversity analysis in the digital era
title_full_unstemmed Biodiversity analysis in the digital era
title_short Biodiversity analysis in the digital era
title_sort biodiversity analysis in the digital era
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4971189/
https://www.ncbi.nlm.nih.gov/pubmed/27481789
http://dx.doi.org/10.1098/rstb.2015.0337
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