Developing integrated workflows for the digitisation of herbarium specimens using a modular and scalable approach
Identifieur interne : 000266 ( Main/Exploration ); précédent : 000265; suivant : 000267Developing integrated workflows for the digitisation of herbarium specimens using a modular and scalable approach
Auteurs : Elspeth Haston [Royaume-Uni] ; Robert Cubey [Royaume-Uni] ; Martin Pullan [Royaume-Uni] ; Hannah Atkins [Royaume-Uni] ; David J. Harris [Royaume-Uni]Source :
- ZooKeys [ 1313-2989 ] ; 2012.
Abstract
Digitisation programmes in many institutes frequently involve disparate and irregular funding, diverse selection criteria and scope, with different members of staff managing and operating the processes. These factors have influenced the decision at the Royal Botanic Garden Edinburgh to develop an integrated workflow for the digitisation of herbarium specimens which is modular and scalable to enable a single overall workflow to be used for all digitisation projects. This integrated workflow is comprised of three principal elements: a specimen workflow, a data workflow and an image workflow.
The specimen workflow is strongly linked to curatorial processes which will impact on the prioritisation, selection and preparation of the specimens. The importance of including a conservation element within the digitisation workflow is highlighted. The data workflow includes the concept of three main categories of collection data: label data, curatorial data and supplementary data. It is shown that each category of data has its own properties which influence the timing of data capture within the workflow. Development of software has been carried out for the rapid capture of curatorial data, and optical character recognition (OCR) software is being used to increase the efficiency of capturing label data and supplementary data. The large number and size of the images has necessitated the inclusion of automated systems within the image workflow.
Url:
DOI: 10.3897/zookeys.209.3121
PubMed: 22859881
PubMed Central: 3406469
Affiliations:
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Harris</name><affiliation wicri:level="1"><nlm:aff id="A1">Royal Botanic Garden Edinburgh, 20a Inverleith Row, Edinburgh, EH3 5LR, UK</nlm:aff><country xml:lang="fr">Royaume-Uni</country><wicri:regionArea>Royal Botanic Garden Edinburgh, 20a Inverleith Row, Edinburgh, EH3 5LR</wicri:regionArea><wicri:noRegion>EH3 5LR</wicri:noRegion></affiliation></author></analytic><series><title level="j">ZooKeys</title><idno type="ISSN">1313-2989</idno><idno type="eISSN">1313-2970</idno><imprint><date when="2012">2012</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><label>Abstract</label><p>Digitisation programmes in many institutes frequently involve disparate and irregular funding, diverse selection criteria and scope, with different members of staff managing and operating the processes. These factors have influenced the decision at the Royal Botanic Garden Edinburgh to develop an integrated workflow for the digitisation of herbarium specimens which is modular and scalable to enable a single overall workflow to be used for all digitisation projects. This integrated workflow is comprised of three principal elements: a specimen workflow, a data workflow and an image workflow.</p><p>The specimen workflow is strongly linked to curatorial processes which will impact on the prioritisation, selection and preparation of the specimens. The importance of including a conservation element within the digitisation workflow is highlighted. The data workflow includes the concept of three main categories of collection data: label data, curatorial data and supplementary data. It is shown that each category of data has its own properties which influence the timing of data capture within the workflow. Development of software has been carried out for the rapid capture of curatorial data, and optical character recognition (OCR) software is being used to increase the efficiency of capturing label data and supplementary data. The large number and size of the images has necessitated the inclusion of automated systems within the image workflow.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Beach, J" uniqKey="Beach J">J Beach</name></author><author><name sortKey="Blum, S" uniqKey="Blum S">S Blum</name></author><author><name sortKey="Donoghue, M" uniqKey="Donoghue M">M Donoghue</name></author><author><name sortKey="Ford, L" uniqKey="Ford L">L Ford</name></author><author><name sortKey="Guralnick, R" uniqKey="Guralnick R">R Guralnick</name></author><author><name sortKey="Mares, M" uniqKey="Mares M">M Mares</name></author><author><name sortKey="Thiers, B" uniqKey="Thiers B">B Thiers</name></author><author><name sortKey="Westneat, M" uniqKey="Westneat M">M Westneat</name></author><author><name sortKey="Wheeler, Q" uniqKey="Wheeler Q">Q Wheeler</name></author><author><name sortKey="Wiegmann, B" uniqKey="Wiegmann B">B Wiegmann</name></author><author><name 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Harris</name><name sortKey="Pullan, Martin" sort="Pullan, Martin" uniqKey="Pullan M" first="Martin" last="Pullan">Martin Pullan</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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