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Exploring historical trends using taxonomic name metadata

BACKGROUND: Authority and year information have been attached to taxonomic names since Linnaean times. The systematic structure of taxonomic nomenclature facilitates the ability to develop tools that can be used to explore historical trends that may be associated with taxonomy. RESULTS: From the ove...

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Autores principales: Sarkar, Indra Neil, Schenk, Ryan, Norton, Catherine N
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2408592/
https://www.ncbi.nlm.nih.gov/pubmed/18477399
http://dx.doi.org/10.1186/1471-2148-8-144
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author Sarkar, Indra Neil
Schenk, Ryan
Norton, Catherine N
author_facet Sarkar, Indra Neil
Schenk, Ryan
Norton, Catherine N
author_sort Sarkar, Indra Neil
collection PubMed
description BACKGROUND: Authority and year information have been attached to taxonomic names since Linnaean times. The systematic structure of taxonomic nomenclature facilitates the ability to develop tools that can be used to explore historical trends that may be associated with taxonomy. RESULTS: From the over 10.7 million taxonomic names that are part of the uBio system [4], approximately 3 million names were identified to have taxonomic authority information from the years 1750 to 2004. A pipe-delimited file was then generated, organized according to a Linnaean hierarchy and by years from 1750 to 2004, and imported into an Excel workbook. A series of macros were developed to create an Excel-based tool and a complementary Web site to explore the taxonomic data. A cursory and speculative analysis of the data reveals observable trends that may be attributable to significant events that are of both taxonomic (e.g., publishing of key monographs) and societal importance (e.g., world wars). The findings also help quantify the number of taxonomic descriptions that may be made available through digitization initiatives. CONCLUSION: Temporal organization of taxonomic data can be used to identify interesting biological epochs relative to historically significant events and ongoing efforts. We have developed an Excel workbook and complementary Web site that enables one to explore taxonomic trends for Linnaean taxonomic groupings, from Kingdoms to Families.
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spelling pubmed-24085922008-05-31 Exploring historical trends using taxonomic name metadata Sarkar, Indra Neil Schenk, Ryan Norton, Catherine N BMC Evol Biol Software BACKGROUND: Authority and year information have been attached to taxonomic names since Linnaean times. The systematic structure of taxonomic nomenclature facilitates the ability to develop tools that can be used to explore historical trends that may be associated with taxonomy. RESULTS: From the over 10.7 million taxonomic names that are part of the uBio system [4], approximately 3 million names were identified to have taxonomic authority information from the years 1750 to 2004. A pipe-delimited file was then generated, organized according to a Linnaean hierarchy and by years from 1750 to 2004, and imported into an Excel workbook. A series of macros were developed to create an Excel-based tool and a complementary Web site to explore the taxonomic data. A cursory and speculative analysis of the data reveals observable trends that may be attributable to significant events that are of both taxonomic (e.g., publishing of key monographs) and societal importance (e.g., world wars). The findings also help quantify the number of taxonomic descriptions that may be made available through digitization initiatives. CONCLUSION: Temporal organization of taxonomic data can be used to identify interesting biological epochs relative to historically significant events and ongoing efforts. We have developed an Excel workbook and complementary Web site that enables one to explore taxonomic trends for Linnaean taxonomic groupings, from Kingdoms to Families. BioMed Central 2008-05-13 /pmc/articles/PMC2408592/ /pubmed/18477399 http://dx.doi.org/10.1186/1471-2148-8-144 Text en Copyright ©2008 Sarkar et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Software
Sarkar, Indra Neil
Schenk, Ryan
Norton, Catherine N
Exploring historical trends using taxonomic name metadata
title Exploring historical trends using taxonomic name metadata
title_full Exploring historical trends using taxonomic name metadata
title_fullStr Exploring historical trends using taxonomic name metadata
title_full_unstemmed Exploring historical trends using taxonomic name metadata
title_short Exploring historical trends using taxonomic name metadata
title_sort exploring historical trends using taxonomic name metadata
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2408592/
https://www.ncbi.nlm.nih.gov/pubmed/18477399
http://dx.doi.org/10.1186/1471-2148-8-144
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