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iCollections methodology: workflow, results and lessons learned

Abstract. 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 scienti...

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Autores principales: Blagoderov, Vladimir, Penn, Malcolm, Sadka, Mike, Hine, Adrian, Brooks, Stephen, Siebert, Darrell J., Sleep, Chris, Cafferty, Steve, Cane, Elisa, Martin, Geoff, Toloni, Flavia, Wing, Peter, Chainey, John, Duffell, Liz, Huxley, Rob, Ledger, Sophie, McLaughlin, Caitlin, Mazzetta, Gerardo, Perera, Jasmin, Crowther, Robyn, Douglas, Lyndsey, Durant, Joanna, Honey, Martin, Huertas, Blanca, Howard, Theresa, Carter, Victoria, Albuquerque, Sara, Paterson, Gordon, Kitching, Ian J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pensoft Publishers 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665009/
https://www.ncbi.nlm.nih.gov/pubmed/29104435
http://dx.doi.org/10.3897/BDJ.5.e19893
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author Blagoderov, Vladimir
Penn, Malcolm
Sadka, Mike
Hine, Adrian
Brooks, Stephen
Siebert, Darrell J.
Sleep, Chris
Cafferty, Steve
Cane, Elisa
Martin, Geoff
Toloni, Flavia
Wing, Peter
Chainey, John
Duffell, Liz
Huxley, Rob
Ledger, Sophie
McLaughlin, Caitlin
Mazzetta, Gerardo
Perera, Jasmin
Crowther, Robyn
Douglas, Lyndsey
Durant, Joanna
Honey, Martin
Huertas, Blanca
Howard, Theresa
Carter, Victoria
Albuquerque, Sara
Paterson, Gordon
Kitching, Ian J.
author_facet Blagoderov, Vladimir
Penn, Malcolm
Sadka, Mike
Hine, Adrian
Brooks, Stephen
Siebert, Darrell J.
Sleep, Chris
Cafferty, Steve
Cane, Elisa
Martin, Geoff
Toloni, Flavia
Wing, Peter
Chainey, John
Duffell, Liz
Huxley, Rob
Ledger, Sophie
McLaughlin, Caitlin
Mazzetta, Gerardo
Perera, Jasmin
Crowther, Robyn
Douglas, Lyndsey
Durant, Joanna
Honey, Martin
Huertas, Blanca
Howard, Theresa
Carter, Victoria
Albuquerque, Sara
Paterson, Gordon
Kitching, Ian J.
author_sort Blagoderov, Vladimir
collection PubMed
description Abstract. 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.
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spelling pubmed-56650092017-11-03 iCollections methodology: workflow, results and lessons learned Blagoderov, Vladimir Penn, Malcolm Sadka, Mike Hine, Adrian Brooks, Stephen Siebert, Darrell J. Sleep, Chris Cafferty, Steve Cane, Elisa Martin, Geoff Toloni, Flavia Wing, Peter Chainey, John Duffell, Liz Huxley, Rob Ledger, Sophie McLaughlin, Caitlin Mazzetta, Gerardo Perera, Jasmin Crowther, Robyn Douglas, Lyndsey Durant, Joanna Honey, Martin Huertas, Blanca Howard, Theresa Carter, Victoria Albuquerque, Sara Paterson, Gordon Kitching, Ian J. Biodivers Data J Research Article Abstract. 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. Pensoft Publishers 2017-09-25 /pmc/articles/PMC5665009/ /pubmed/29104435 http://dx.doi.org/10.3897/BDJ.5.e19893 Text en Vladimir Blagoderov, Malcolm Penn, Mike Sadka, Adrian Hine, Stephen Brooks, Darrell J. 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 J. Kitching http://creativecommons.org/licenses/by/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Blagoderov, Vladimir
Penn, Malcolm
Sadka, Mike
Hine, Adrian
Brooks, Stephen
Siebert, Darrell J.
Sleep, Chris
Cafferty, Steve
Cane, Elisa
Martin, Geoff
Toloni, Flavia
Wing, Peter
Chainey, John
Duffell, Liz
Huxley, Rob
Ledger, Sophie
McLaughlin, Caitlin
Mazzetta, Gerardo
Perera, Jasmin
Crowther, Robyn
Douglas, Lyndsey
Durant, Joanna
Honey, Martin
Huertas, Blanca
Howard, Theresa
Carter, Victoria
Albuquerque, Sara
Paterson, Gordon
Kitching, Ian J.
iCollections methodology: workflow, results and lessons learned
title iCollections methodology: workflow, results and lessons learned
title_full iCollections methodology: workflow, results and lessons learned
title_fullStr iCollections methodology: workflow, results and lessons learned
title_full_unstemmed iCollections methodology: workflow, results and lessons learned
title_short iCollections methodology: workflow, results and lessons learned
title_sort icollections methodology: workflow, results and lessons learned
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5665009/
https://www.ncbi.nlm.nih.gov/pubmed/29104435
http://dx.doi.org/10.3897/BDJ.5.e19893
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