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iCollections methodology: workflow, results and lessons learned.

Vladimir Blagoderov1,2, Malcolm Penn2, Mike Sadka2

  • 1National Museums Scotland, Edinburgh, United Kingdom.

Biodiversity Data Journal
|November 7, 2017
PubMed
Summary

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This summary is machine-generated.

The Natural History Museum digitized 181,545 butterfly specimens from the British Isles and Ireland. This project focused on the technical, logistical, and economic aspects of mass specimen digitization.

Area of Science:

  • Biodiversity Informatics
  • Zoology
  • Museum Studies

Background:

  • The Natural History Museum, London (NHMUK) initiated a large-scale digitization program for its extensive scientific collections.
  • The initial phase involved pilot projects to establish effective workflows and infrastructure for mass digitization.

Purpose of the Study:

  • To present the outcomes of the iCollections pilot project, focusing on the digitization of butterfly specimens.
  • To detail the technical, logistical, and economic considerations involved in managing a large-scale specimen digitization project.

Main Methods:

  • Digitization of 181,545 lepidopteran specimens (butterflies) from the British Isles and Ireland.
  • Data capture included species name, georeferenced location, collector, and collection date for each specimen.
Keywords:
Digitisationcollectiondatabasegeoreferencingmuseumsitesworkflow

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  • High-resolution digital images were created for all digitized specimens.

    • Main Results:

    • Successfully digitized a significant collection of butterfly specimens, encompassing 89 species.
    • Established and refined workflows and infrastructure suitable for mass digitization of scientific collections.
    • Gathered comprehensive data (what, where, who, when) and imagery for each specimen.

    Conclusions:

    • The iCollections project demonstrated a viable approach to mass digitization of entomological collections.
    • The project provided valuable insights into the technical, logistical, and economic challenges and solutions for large-scale digitization efforts.
    • The digitized data and images enhance accessibility and research potential for these important natural history collections.