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The Register of Antarctic Marine Species (RAMS): a ten-year appraisal.
Jossart, Quentin; Moreau, Camille; Agüera, Antonio; Broyer, Claude De; Danis, Bruno.
Afiliação
  • Jossart Q; Université Libre de Bruxelles, 50 avenue Franklin Roosevelt, 1000 Brussels, Belgium.
  • Moreau C; Université Libre de Bruxelles, 50 avenue Franklin Roosevelt, 1000 Brussels, Belgium.
  • Agüera A; Université Libre de Bruxelles, 50 avenue Franklin Roosevelt, 1000 Brussels, Belgium.
  • Broyer CD; Institut Royal des Sciences Naturelles de Belgique, 29 rue Vautier, 1000 Brussels, Belgium.
  • Danis B; Université Libre de Bruxelles, 50 avenue Franklin Roosevelt, 1000 Brussels, Belgium.
Zookeys ; (524): 137-45, 2015.
Article em En | MEDLINE | ID: mdl-26478709
ABSTRACT
The Register of Antarctic Marine Species (RAMS) is a marine species database that manages an authoritative taxonomic list of species occurring in the Southern Ocean. RAMS links with several other initiatives managing biogeographic or genomics information. The current paper aims to briefly present RAMS and provides an updated snapshot of its contents, in the form of a DarwinCore checklist (available through http//ipt.biodiversity.aq/resource.do?r=rams) and illustrative barplots. Moreover, this article presents a ten year appraisal (since the creation of RAMS). This appraisal first focuses on RAMS bibliometrics. We observed that RAMS was cited (Google Scholar) in 50 distinct publications among which 32 were peer-reviewed in 18 different journals. Three journals (Antarctic Science, Polar Biology, ZooKeys) represent almost 40% of these peer-review publications. The second appraisal focuses on the evolution of new RAMS records. We observed an important decrease in data additions since 2011. As a case study, we focused on an original dataset for a specific group (Asteroidea, Echinodermata). It appears that around one hundred species of asteroids are lacking in RAMS despite the relatively high availability of these data. This suggests that the users' community (or collaborative projects such as AquaRES) could be helpful in order to maintain the RAMS database over the long term.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2015 Tipo de documento: Article