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Abstract Detail

Building a High-Resolution, Specimen-Based Picture of Life: Possibilities and Challenges

Bentley, Andrew [1].

Engaging Collaborations for Computerization with Specify.

The Specify Software Project supports about 400 museum and herbarium collections with open source software and technical support services for the computerization of specimen information. Most collections utilizing Specify Software are repositories at state universities or smaller colleges with holdings in the tens to hundreds of thousands of specimens, but Specify also supports collections with over a million data records. The Specify Software Project aligns with the goals of the NSF ADBC Program, iDigBio HUB, and Thematic Collection Networks (TCNs) to promote collaborative cataloging, by offering capabilities that enable collection data processing in addition to tasks associated with collaborative data entry, duplicate specimen discovery, data reconciliation, and publishing records to iDigBio, GBIF, or to other data aggregators. In this presentation, we will briefly touch on Specify's capabilities for data entry, bulk data uploading and validation, as well as the integration of specimen images and labels in digitization workflows. We will discuss Specify technologies for specimen data publishing, image archiving, authority file sharing, and data re-use which were developed in software co-development collaborations with partner institutions. We will also preview a new generation of Specify which moves collection computerization and specimen data management to the web. Finally, we will re-iterate our long-term commitment to project and researcher support for specimen digitization and for co-development of open source software for the biodiversity collections community.

Broader Impacts:

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1 - Biodiversity Institute, University of Kansas, Specify Project, Dyche Hall, 1345 Jayhawk Boulevard, Lawrence, KS, 66045, USA

Specify Software

Presentation Type: Symposium or Colloquium Presentation
Session: SY11
Location: Franklin A/Hyatt
Date: Wednesday, July 11th, 2012
Time: 4:15 PM
Number: SY11011
Abstract ID:663

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