DocumentCode
2632952
Title
Filtered-Push: A Map-Reduce Platform for Collaborative Taxonomic Data Management
Author
Wang, Zhimin ; Dong, Hui ; Kelly, Maureen ; Macklin, James A. ; Morris, Paul J. ; Morris, Robert A.
Author_Institution
Dept. of Comput. Sci., Univ. of Massachusetts, Boston, MA, USA
Volume
3
fYear
2009
fDate
March 31 2009-April 2 2009
Firstpage
731
Lastpage
735
Abstract
The Filtered-Push project aims to establish a cross-institutional infrastructure to help biologists (especially taxonomists) share and improve digitized natural history collection data via the exchange and management of specimen record annotations. Three challenges commonly confront the holders of data documenting specimens collected in the field: the identification of the organism and the annotation of records that arose from a single collection event but where parts of the organism have been distributed and are held as duplicates in multiple institutions; the quality control of new annotations [2]; and, more generally, the dissemination of annotations of specimen records, whether or not representing duplicate specimens. Addressing these can accelerate the rate of digital capture of data from paper records (such as handwritten labels attached to pinned insects or pasted on herbarium sheets with dried plants) and provide mechanisms for the global community of biologists to improve the quality of the data.
Keywords
biology computing; data handling; groupware; information dissemination; Filtered-Push; annotation dissemination; annotation quality control; collaborative taxonomic data management; digitized natural history collection data; specimen data documentation; Collaboration; Computer science; Engineering management; History; Information filtering; Information filters; Organisms; Project management; Quality control; Zoology; data integration; distributed framework; specimen collection;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location
Los Angeles, CA
Print_ISBN
978-0-7695-3507-4
Type
conf
DOI
10.1109/CSIE.2009.948
Filename
5170938
Link To Document