4.1 Article

EJT editorial standard for the semantic enhancement of specimen data in taxonomy literature

期刊

EUROPEAN JOURNAL OF TAXONOMY
卷 586, 期 -, 页码 1-22

出版社

MUSEUM NATL HISTOIRE NATURELLE
DOI: 10.5852/ejt.2019.586

关键词

XML; publishing standard; taxonomy; FAIR data; Open Science

资金

  1. Museum national d'histoire naturelle, Paris, France
  2. Meise Botanic Garden, Belgium
  3. Royal Museum for Central Africa, Tervuren, Belgium
  4. Royal Belgian Institute of Natural Sciences, Brussels, Belgium
  5. Natural History Museum of Denmark, Copenhagen, Denmark
  6. Naturalis Biodiversity Center, Leiden, the Netherlands
  7. Museo Nacional de Ciencias Naturales-CSIC, Madrid, Spain
  8. Real Jardin Botanico de Madrid CSIC, Spain
  9. Zoological Research Museum Alexander Koenig, Bonn, Germany
  10. National Museum, Prague, Czech Republic
  11. CETAF

向作者/读者索取更多资源

This paper describes a set of guidelines for the citation of zoological and botanical specimens in the European Journal of Taxonomy. The guidelines stipulate controlled vocabularies and precise formats for presenting the specimens examined within a taxonomic publication, which allow for the rich data associated with the primary research material to be harvested, distributed and interlinked online via international biodiversity data aggregators. Herein we explain how the EJT editorial standard was defined and how this initiative fits into the journal's project to semantically enhance its publications using the Plazi TaxPub DTD extension. By establishing a standardised format for the citation of taxonomic specimens, the journal intends to widen the distribution of and improve accessibility to the data it publishes. Authors who conform to these guidelines will benefit from higher visibility and new ways of visualising their work. In a wider context, we hope that other taxonomy journals will adopt this approach to their publications, adapting their working methods to enable domain-specific text mining to take place. If specimen data can be efficiently cited, harvested and linked to wider resources, we propose that there is also the potential to develop alternative metrics for assessing impact and productivity within the natural sciences.

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