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Imaging References: Difference between revisions
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== A Guide to Digitizing Insect Collections, by Sarah Ashworth and Jennifer Fogarty, 55 pages.== | |||
!scope="col" width="15%" | Pub Date || | |||
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| '''URL''' | |||
| http://insects.oeb.harvard.edu/MCZ/PDFs/Guide_to_digitizing.pdf# | |||
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| '''Description''' | |||
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This guide is offered to help anyone wanting to database and/or digitally image their collections. It is written in very simple terms since this work should not require a computer expert. This guide is based on digitizing a type collection so it is more rigorous and careful than may be necessary for other collections, particularly the archive protocol. The user should take or leave whatever information they feel is necessary. However, if the guide is to be used for a type collection, it is recommended that the degree of rigor, if not the actual protocol, be matched. Three different imaging setups are described, from a very inexpensive solution to the top of the range. These descriptions are not intended to prescribe the best or only setups, but to inform others about the setups we are using now as a result of over 5 years research-- much of this with limited budgets. We developed these under the guidance of Dr. Piotr Naskrecki, with early and continued assistance by Dr. Gary Alpert and Dr. Brian Farrell. In a similar way we describe a Filemaker Pro implementation called MANTIS. It is one of many database solutions for managing taxonomic information, but is recommended since it is easy to use, runs on both PC and Mac and is can be downloaded free from the web. It is also the creation of Piotr Naskrecki. | |||
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== A Strategic Plan for Establishing a Network Integrated Biocollections Alliance, produced by NSF.== | |||
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| '''URL''' | |||
| http://digbiocol.files.wordpress.com/2010/08/niba_brochure.pdf# | |||
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| '''Description''' | |||
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This report is a strategic plan for a 10-year effort to digitize and mobilize the scientific information associated with biological specimens held in U.S. research collections. The primary objective of the initiative is to create a national collections resource that will contribute critical information to U.S. scientific research and technology interests, and will aid in understanding the biodiversity dimensions and societal consequences of climate change, species invasions, natural disasters, the spread of disease vectors and agricultural pests and pollinators, and other environmental issues. Network Integrated Biocollections Alliance (NIBA) resources such as databases, network portals, and analytical tools will synthesize information contained in the nation’s collections and place them into national service for stakeholders in government, academia, business, K-12 education, informal science education, and the public. | |||
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== Accelerating Taxonomic Discovery Through Automated Character Extraction, by J. LaSalle, Q. Wheeler, P. Jackway, S. Winterton, D. Hobern, D. Lovell, Zootaxa 2217:43-55.== | |||
!scope="col" width="15%" | Pub Date || 2009 | |||
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| '''URL''' | |||
| www.mapress.com/zootaxa/2009/f/zt02217p055.pdfhttp://www.mapress.com/zootaxa/2009/f/zt02217p055.pdf# | |||
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| '''Description''' | |||
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This paper discusses the following key messages. Taxonomy is (and taxonomists are) more important than ever in times of global change. Taxonomic endeavour is not occurring fast enough: in 250 years since the creation of the Linnean Systema Naturae, only about 20% of Earth’s species have been named. We need fundamental changes to the taxonomic process and paradigm to increase taxonomic productivity by orders of magnitude. Currently, taxonomic productivity is limited principally by the rate at which we capture and manage morphological information to enable species discovery. Many recent (and welcomed) initiatives in managing and delivering biodiversity information and accelerating the taxonomic process do not address this bottleneck. Development of computational image analysis and feature extraction methods is a crucial missing capacity needed to enable taxonomists to overcome the taxonomic impediment in a meaningful time frame. | |||
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