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DNA barcoding and taxonomy: dark taxa and dark texts.


ABSTRACT: Both classical taxonomy and DNA barcoding are engaged in the task of digitizing the living world. Much of the taxonomic literature remains undigitized. The rise of open access publishing this century and the freeing of older literature from the shackles of copyright have greatly increased the online availability of taxonomic descriptions, but much of the literature of the mid- to late-twentieth century remains offline ('dark texts'). DNA barcoding is generating a wealth of computable data that in many ways are much easier to work with than classical taxonomic descriptions, but many of the sequences are not identified to species level. These 'dark taxa' hamper the classical method of integrating biodiversity data, using shared taxonomic names. Voucher specimens are a potential common currency of both the taxonomic literature and sequence databases, and could be used to help link names, literature and sequences. An obstacle to this approach is the lack of stable, resolvable specimen identifiers. The paper concludes with an appeal for a global 'digital dashboard' to assess the extent to which biodiversity data are available online.This article is part of the themed issue 'From DNA barcodes to biomes'.

SUBMITTER: Page RD 

PROVIDER: S-EPMC4971186 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature

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DNA barcoding and taxonomy: dark taxa and dark texts.

Page Roderic D M RD  

Philosophical transactions of the Royal Society of London. Series B, Biological sciences 20160901 1702


Both classical taxonomy and DNA barcoding are engaged in the task of digitizing the living world. Much of the taxonomic literature remains undigitized. The rise of open access publishing this century and the freeing of older literature from the shackles of copyright have greatly increased the online availability of taxonomic descriptions, but much of the literature of the mid- to late-twentieth century remains offline ('dark texts'). DNA barcoding is generating a wealth of computable data that i  ...[more]

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