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Increasing the efficiency of digitization workflows for herbarium specimens

Abstract. The New York Botanical Garden Herbarium has been databasing and imaging its estimated 7.3 million plant specimens for the past 17 years. Due to the size of the collection, we have been selectively digitizing fundable subsets of specimens, making successive passes through the herbarium with...

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Autores principales: Tulig, Melissa, Tarnowsky, Nicole, Bevans, Michael, Anthony Kirchgessner, Thiers,  Barbara M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Pensoft Publishers 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3406470/
https://www.ncbi.nlm.nih.gov/pubmed/22859882
http://dx.doi.org/10.3897/zookeys.209.3125
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author Tulig, Melissa
Tarnowsky, Nicole
Bevans, Michael
Anthony Kirchgessner,
Thiers,  Barbara M.
author_facet Tulig, Melissa
Tarnowsky, Nicole
Bevans, Michael
Anthony Kirchgessner,
Thiers,  Barbara M.
author_sort Tulig, Melissa
collection PubMed
description Abstract. The New York Botanical Garden Herbarium has been databasing and imaging its estimated 7.3 million plant specimens for the past 17 years. Due to the size of the collection, we have been selectively digitizing fundable subsets of specimens, making successive passes through the herbarium with each new grant. With this strategy, the average rate for databasing complete records has been 10 specimens per hour. With 1.3 million specimens databased, this effort has taken about 130,000 hours of staff time. At this rate, to complete the herbarium and digitize the remaining 6 million specimens, another 600,000 hours would be needed. Given the current biodiversity and economic crises, there is neither the time nor money to complete the collection at this rate. Through a combination of grants over the last few years, The New York Botanical Garden has been testing new protocols and tactics for increasing the rate of digitization through combinations of data collaboration, field book digitization, partial data entry and imaging, and optical character recognition (OCR) of specimen images. With the launch of the National Science Foundation’s new Advancing Digitization of Biological Collections program, we hope to move forward with larger, more efficient digitization projects, capturing data from larger portions of the herbarium at a fraction of the cost and time.
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spelling pubmed-34064702012-08-02 Increasing the efficiency of digitization workflows for herbarium specimens Tulig, Melissa Tarnowsky, Nicole Bevans, Michael Anthony Kirchgessner, Thiers,  Barbara M. Zookeys Article Abstract. The New York Botanical Garden Herbarium has been databasing and imaging its estimated 7.3 million plant specimens for the past 17 years. Due to the size of the collection, we have been selectively digitizing fundable subsets of specimens, making successive passes through the herbarium with each new grant. With this strategy, the average rate for databasing complete records has been 10 specimens per hour. With 1.3 million specimens databased, this effort has taken about 130,000 hours of staff time. At this rate, to complete the herbarium and digitize the remaining 6 million specimens, another 600,000 hours would be needed. Given the current biodiversity and economic crises, there is neither the time nor money to complete the collection at this rate. Through a combination of grants over the last few years, The New York Botanical Garden has been testing new protocols and tactics for increasing the rate of digitization through combinations of data collaboration, field book digitization, partial data entry and imaging, and optical character recognition (OCR) of specimen images. With the launch of the National Science Foundation’s new Advancing Digitization of Biological Collections program, we hope to move forward with larger, more efficient digitization projects, capturing data from larger portions of the herbarium at a fraction of the cost and time. Pensoft Publishers 2012-07-20 /pmc/articles/PMC3406470/ /pubmed/22859882 http://dx.doi.org/10.3897/zookeys.209.3125 Text en Melissa Tulig, Nicole Tarnowsky, Michael Bevans, Anthony Kirchgessner,  Barbara M. Thiers 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
Tulig, Melissa
Tarnowsky, Nicole
Bevans, Michael
Anthony Kirchgessner,
Thiers,  Barbara M.
Increasing the efficiency of digitization workflows for herbarium specimens
title Increasing the efficiency of digitization workflows for herbarium specimens
title_full Increasing the efficiency of digitization workflows for herbarium specimens
title_fullStr Increasing the efficiency of digitization workflows for herbarium specimens
title_full_unstemmed Increasing the efficiency of digitization workflows for herbarium specimens
title_short Increasing the efficiency of digitization workflows for herbarium specimens
title_sort increasing the efficiency of digitization workflows for herbarium specimens
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3406470/
https://www.ncbi.nlm.nih.gov/pubmed/22859882
http://dx.doi.org/10.3897/zookeys.209.3125
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