Published August 14, 2020 | Version v1

Landscape Analysis for the Specimen Data Refinery

  • 1. The Natural History Museum, London, United Kingdom
  • 2. The Natural History Museum, London, United Kingdom|The Natural History Museum, London, United Kingdom
  • 3. Naturalis Biodiversity Center, Leiden, Netherlands
  • 4. Royal Botanic Garden Edinburgh, Edinburgh, United Kingdom
  • 5. Swedish Museum of Natural History, Stockholm, Sweden
  • 6. The Department of Computer Science, The University of Manchester, Manchester, United Kingdom
  • 7. Meise Botanic Garden, Meise, Belgium
  • 8. TEKLIA, Paris, France
  • 9. Museo Nacional de Ciencias Naturales (CSIC), Madrid, Spain
  • 10. The Finnish Museum of Natural History, Helsinki, Finland

Description

This report reviews the current state-of-the-art applied approaches on automated tools, services and workflows for extracting information from images of natural history specimens and their labels. We consider the potential for repurposing existing tools, including workflow management systems; and areas where more development is required. This paper was written as part of the SYNTHESYS+ project for software development teams and informatics teams working on new software-based approaches to improve mass digitisation of natural history specimens.

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