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No specimen left behind: industrial scale digitization of natural history collections
Abstract. Traditional approaches for digitizing natural history collections, which include both imaging and metadata capture, are both labour- and time-intensive. Mass-digitization can only be completed if the resource-intensive steps, such as specimen selection and databasing of associated informat...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pensoft Publishers
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3406472/ https://www.ncbi.nlm.nih.gov/pubmed/22859884 http://dx.doi.org/10.3897/zookeys.209.3178 |
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author | Blagoderov, Vladimir Kitching, Ian J. Livermore, Laurence Simonsen, Thomas J. Smith, Vincent S. |
author_facet | Blagoderov, Vladimir Kitching, Ian J. Livermore, Laurence Simonsen, Thomas J. Smith, Vincent S. |
author_sort | Blagoderov, Vladimir |
collection | PubMed |
description | Abstract. Traditional approaches for digitizing natural history collections, which include both imaging and metadata capture, are both labour- and time-intensive. Mass-digitization can only be completed if the resource-intensive steps, such as specimen selection and databasing of associated information, are minimized. Digitization of larger collections should employ an “industrial” approach, using the principles of automation and crowd sourcing, with minimal initial metadata collection including a mandatory persistent identifier. A new workflow for the mass-digitization of natural history museum collections based on these principles, and using SatScan® tray scanning system, is described. |
format | Online Article Text |
id | pubmed-3406472 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Pensoft Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-34064722012-08-02 No specimen left behind: industrial scale digitization of natural history collections Blagoderov, Vladimir Kitching, Ian J. Livermore, Laurence Simonsen, Thomas J. Smith, Vincent S. Zookeys Article Abstract. Traditional approaches for digitizing natural history collections, which include both imaging and metadata capture, are both labour- and time-intensive. Mass-digitization can only be completed if the resource-intensive steps, such as specimen selection and databasing of associated information, are minimized. Digitization of larger collections should employ an “industrial” approach, using the principles of automation and crowd sourcing, with minimal initial metadata collection including a mandatory persistent identifier. A new workflow for the mass-digitization of natural history museum collections based on these principles, and using SatScan® tray scanning system, is described. Pensoft Publishers 2012-07-20 /pmc/articles/PMC3406472/ /pubmed/22859884 http://dx.doi.org/10.3897/zookeys.209.3178 Text en Vladimir Blagoderov, Ian J. Kitching, Laurence Livermore, Thomas J. Simonsen, Vincent S. Smith http://creativecommons.org/licenses/by/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution License 3.0 (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Article Blagoderov, Vladimir Kitching, Ian J. Livermore, Laurence Simonsen, Thomas J. Smith, Vincent S. No specimen left behind: industrial scale digitization of natural history collections |
title | No specimen left behind: industrial scale digitization of natural history collections |
title_full | No specimen left behind: industrial scale digitization of natural history collections |
title_fullStr | No specimen left behind: industrial scale digitization of natural history collections |
title_full_unstemmed | No specimen left behind: industrial scale digitization of natural history collections |
title_short | No specimen left behind: industrial scale digitization of natural history collections |
title_sort | no specimen left behind: industrial scale digitization of natural history collections |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3406472/ https://www.ncbi.nlm.nih.gov/pubmed/22859884 http://dx.doi.org/10.3897/zookeys.209.3178 |
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