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A semi-automated workflow for biodiversity data retrieval, cleaning, and quality control.

Academic Article
Publication Date:
2014
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.
Iris type:
01.01 Articolo in rivista
List of contributors:
Vicario, Saverio
Authors of the University:
VICARIO SAVERIO
Handle:
https://iris.cnr.it/handle/20.500.14243/320108
Published in:
BIODIVERSITY DATA JOURNAL
Journal
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URL

http://biodiversitydatajournal.com/articles.php?id=4221
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