Literature DB >> 19087937

Taxonomy as an eScience.

Benjamin R Clark1, H Charles J Godfray, Ian J Kitching, Simon J Mayo, Malcolm J Scoble.   

Abstract

The Internet has the potential to provide wider access to biological taxonomy, the knowledge base of which is currently fragmented across a large number of ink-on-paper publications dating from the middle of the eighteenth century. A system (the CATE project) is proposed in which consensus or consolidated taxonomies are presented in the form of Web-based revisions. The workflow is designed to allow the community to offer, online, additions and taxonomic changes ('proposals') to the consolidated taxonomies (e.g. new species and synonymies). A means of quality control in the form of online peer review as part of the editorial process is also included in the workflow. The CATE system rests on taxonomic expertise and judgement, rather than using aggregation technology to accumulate taxonomic information from across the Web. The CATE application and its system and architecture are described in the context of the wider aims and purpose of the project.

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Year:  2009        PMID: 19087937     DOI: 10.1098/rsta.2008.0190

Source DB:  PubMed          Journal:  Philos Trans A Math Phys Eng Sci        ISSN: 1364-503X            Impact factor:   4.226


  3 in total

1.  Genome profiling (GP) method based classification of insects: congruence with that of classical phenotype-based one.

Authors:  Shamim Ahmed; Manabu Komori; Sachika Tsuji-Ueno; Miho Suzuki; Akinori Kosaku; Kiyoshi Miyamoto; Koichi Nishigaki
Journal:  PLoS One       Date:  2011-08-31       Impact factor: 3.240

2.  Rapid dissemination of taxonomic discoveries based on DNA barcoding and morphology.

Authors:  Xiaowei Cao; Jie Liu; Jian Chen; Guo Zheng; Matjaž Kuntner; Ingi Agnarsson
Journal:  Sci Rep       Date:  2016-12-19       Impact factor: 4.379

3.  Scratchpads: a data-publishing framework to build, share and manage information on the diversity of life.

Authors:  Vincent S Smith; Simon D Rycroft; Kehan T Harman; Ben Scott; David Roberts
Journal:  BMC Bioinformatics       Date:  2009-11-10       Impact factor: 3.169

  3 in total

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