Time to change how we describe biodiversity

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Title: Time to change how we describe biodiversity
Authors: Deans, Andrew R.1 andy_deans@ncsu.edu, Yoder, Matthew J.1, Balhoff, James P.2,3
Source: Trends in Ecology & Evolution. Feb2012, Vol. 27 Issue 2, p78-84. 7p.
Subjects: Biodiversity, Phenotypes, Taxonomy, Biological classification, Genetic transformation, Zoological research, Genomics
Abstract: Taxonomists are arguably the most active annotators of the natural world, collecting and publishing millions of phenotype data annually through descriptions of new taxa. By formalizing these data, preferably as they are collected, taxonomists stand to contribute a data set with research potential that rivals or even surpasses genomics. Over a decade of electronic innovation and debate has initiated a revolution in the way that the biodiversity is described. Here, we opine that a new generation of semantically based digital scaffolding, presently in various stages of completeness, and a commitment by taxonomists and their colleagues to undertake this transformation, are required to complete the taxonomic revolution and critically broaden the relevance of its products. [Copyright &y& Elsevier]
Copyright of Trends in Ecology & Evolution is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Time to change how we describe biodiversity
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  Data: <searchLink fieldCode="AR" term="%22Deans%2C+Andrew+R%2E%22">Deans, Andrew R.</searchLink><relatesTo>1</relatesTo><i> andy_deans@ncsu.edu</i><br /><searchLink fieldCode="AR" term="%22Yoder%2C+Matthew+J%2E%22">Yoder, Matthew J.</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Balhoff%2C+James+P%2E%22">Balhoff, James P.</searchLink><relatesTo>2,3</relatesTo>
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  Data: <searchLink fieldCode="JN" term="%22Trends+in+Ecology+%26+Evolution%22">Trends in Ecology & Evolution</searchLink>. Feb2012, Vol. 27 Issue 2, p78-84. 7p.
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  Data: <searchLink fieldCode="DE" term="%22Biodiversity%22">Biodiversity</searchLink><br /><searchLink fieldCode="DE" term="%22Phenotypes%22">Phenotypes</searchLink><br /><searchLink fieldCode="DE" term="%22Taxonomy%22">Taxonomy</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+classification%22">Biological classification</searchLink><br /><searchLink fieldCode="DE" term="%22Genetic+transformation%22">Genetic transformation</searchLink><br /><searchLink fieldCode="DE" term="%22Zoological+research%22">Zoological research</searchLink><br /><searchLink fieldCode="DE" term="%22Genomics%22">Genomics</searchLink>
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  Data: Taxonomists are arguably the most active annotators of the natural world, collecting and publishing millions of phenotype data annually through descriptions of new taxa. By formalizing these data, preferably as they are collected, taxonomists stand to contribute a data set with research potential that rivals or even surpasses genomics. Over a decade of electronic innovation and debate has initiated a revolution in the way that the biodiversity is described. Here, we opine that a new generation of semantically based digital scaffolding, presently in various stages of completeness, and a commitment by taxonomists and their colleagues to undertake this transformation, are required to complete the taxonomic revolution and critically broaden the relevance of its products. [Copyright &y& Elsevier]
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  Group: Ab
  Data: <i>Copyright of Trends in Ecology & Evolution is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1016/j.tree.2011.11.007
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 78
    Subjects:
      – SubjectFull: Biodiversity
        Type: general
      – SubjectFull: Phenotypes
        Type: general
      – SubjectFull: Taxonomy
        Type: general
      – SubjectFull: Biological classification
        Type: general
      – SubjectFull: Genetic transformation
        Type: general
      – SubjectFull: Zoological research
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      – SubjectFull: Genomics
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      – TitleFull: Time to change how we describe biodiversity
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              Text: Feb2012
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              Y: 2012
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