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A semi-automated workflow for biodiversity data retrieval, cleaning, and quality control
Güntsch, A.; Mathew, C.; Obst, M.; Vicario, S.; Williams, A.; de Jong, Y.; Goble, C.; Haines, R. (2014). A semi-automated workflow for biodiversity data retrieval, cleaning, and quality control. Biodiversity Data Journal 2: e4221. https://dx.doi.org/10.3897/bdj.2.e4221
In: Biodiversity Data Journal. Pensoft Publishers: Sofia. ISSN 1314-2836; e-ISSN 1314-2828
Peer reviewed article  
Beschikbaar in  Auteurs 
Author keywords
    biodiversity informatics, web services, workflows, service oriented architecture, data cleaning, e-Science
Auteurs  Top 
  • Güntsch, A.
  • Mathew, C.
  • Obst, M.
  • Vicario, S.
  • Williams, A.
  • de Jong, Y.
  • Goble, C.
  • Haines, R.
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.
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