Data integration and workflow solutions for ecology

  • Authors:

  • William Michener;James Beach;Shawn Bowers;Laura Downey;Matthew Jones;Bertram Ludäscher;Deana Pennington;Arcot Rajasekar;Samantha Romanello;Mark Schildhauer;Dave Vieglais;Jianting Zhang

  • Affiliations:

  • LTER Network Office, University of New, Mexico;Biodiversity Research Center, University of Kansas;Genome Center & Dept. of Computer Science, University of California, Davis;LTER Network Office, University of New, Mexico;NCEAS, University of California, Santa Barbara;Genome Center & Dept. of Computer Science, University of California, Davis;LTER Network Office, University of New, Mexico;San Diego Supercomputer Center, University of California, San Diego;LTER Network Office, University of New, Mexico;NCEAS, University of California, Santa Barbara;Biodiversity Research Center, University of Kansas;LTER Network Office, University of New, Mexico

  • Venue:
  • DILS'05 Proceedings of the Second international conference on Data Integration in the Life Sciences
  • Year:
  • 2005

Quantified Score

Hi-index 0.00

Visualization

Abstract

The Science Environment for Ecological Knowledge (SEEK) is designed to help ecologists overcome data integration and synthesis challenges. The SEEK environment enables ecologists to efficiently capture, organize, and search for data and analytical processes. We describe SEEK and discuss how it can benefit ecological niche modeling in which biodiversity scientists require access and integration of regional and global data as well as significant analytical resources.