Your browser doesn't support javascript.
loading
A semi-automated workflow for biodiversity data retrieval, cleaning, and quality control.
Mathew, Cherian; Güntsch, Anton; Obst, Matthias; Vicario, Saverio; Haines, Robert; Williams, Alan R; de Jong, Yde; Goble, Carole.
Afiliação
  • Mathew C; Freie Universität Berlin, Botanic Garden and Botanical Museum Berlin-Dahlem, Berlin, Germany.
  • Güntsch A; Freie Universität Berlin, Botanic Garden and Botanical Museum Berlin-Dahlem, Berlin, Germany.
  • Obst M; Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden.
  • Vicario S; Institute of Biomedical Technologies, National Research Council, Bari, Italy.
  • Haines R; School of Computer Science, University of Manchester, Manchester, United Kingdom.
  • Williams AR; School of Computer Science, University of Manchester, Manchester, United Kingdom.
  • de Jong Y; University of Eastern Finland, Joensuu, Finland ; University of Amsterdam - Facilty of Science, Amsterdam, Netherlands.
  • Goble C; School of Computer Science, University of Manchester, Manchester, United Kingdom.
Biodivers Data J ; (2): e4221, 2014.
Article em En | MEDLINE | ID: mdl-25535486
ABSTRACT
The compilation and cleaning of data needed for analyses and prediction of species distributions is a time consuming process requiring a solid understanding of data formats and service APIs provided by biodiversity informatics infrastructures. We designed and implemented a Taverna-based Data Refinement Workflow which integrates taxonomic data retrieval, data cleaning, and data selection into a consistent, standards-based, and effective system hiding the complexity of underlying service infrastructures. The workflow can be freely used both locally and through a web-portal which does not require additional software installations by users.
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2014 Tipo de documento: Article País de afiliação: Alemanha