• 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