Biodiversity Data Journal (Sep 2017)

iCollections methodology: workflow, results and lessons learned

  • Vladimir Blagoderov,
  • Malcolm Penn,
  • Mike Sadka,
  • Adrian Hine,
  • Stephen Brooks,
  • Darrell Siebert,
  • Chris Sleep,
  • Steve Cafferty,
  • Elisa Cane,
  • Geoff Martin,
  • Flavia Toloni,
  • Peter Wing,
  • John Chainey,
  • Liz Duffell,
  • Rob Huxley,
  • Sophie Ledger,
  • Caitlin McLaughlin,
  • Gerardo Mazzetta,
  • Jasmin Perera,
  • Robyn Crowther,
  • Lyndsey Douglas,
  • Joanna Durant,
  • Martin Honey,
  • Blanca Huertas,
  • Theresa Howard,
  • Victoria Carter,
  • Sara Albuquerque,
  • Gordon Paterson,
  • Ian Kitching

DOI
https://doi.org/10.3897/BDJ.5.e19893
Journal volume & issue
Vol. 5
pp. 1 – 1

Abstract

Read online Read online Read online

The Natural History Museum, London (NHMUK) has embarked on an ambitious programme to digitise its collections. The first phase of this programme was to undertake a series of pilot projects to develop the workflows and infrastructure needed to support mass digitisation of very large scientific collections. This paper presents the results of one of the pilot projects – iCollections. This project digitised all the lepidopteran specimens usually considered as butterflies, 181,545 specimens representing 89 species from the British Isles and Ireland. The data digitised includes, species name, georeferenced location, collector and collection date - the what, where, who and when of specimen data. In addition, a digital image of each specimen was taken. A previous paper explained the way the data were obtained and the background to the collections that made up the project. The present paper describes the technical, logistical, and economic aspects of managing the project.

Keywords