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A KNOWLEDGE NETWORK FOR BIOCOMPLEXITY A Framework for Discovering and Using Ecological Data

A KNOWLEDGE NETWORK FOR BIOCOMPLEXITY A Framework for Discovering and Using Ecological Data. Problem:. Ecological data needed to address critical questions are dispersed, heterogeneous, and complex Solution:

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A KNOWLEDGE NETWORK FOR BIOCOMPLEXITY A Framework for Discovering and Using Ecological Data

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  1. A KNOWLEDGE NETWORK FOR BIOCOMPLEXITYA Framework for Discovering and Using Ecological Data

  2. Problem: Ecological data needed to address critical questions are dispersed, heterogeneous, and complex Solution: An internet-based mechanism to discover, retrieve, interpret, integrate, and analyze ecological data

  3. Solution:A Knowledge Network for Biocomplexity

  4. USER MetaData Catalog Desktop Client Software Storage Resource Broker (SRB) DB2, Oracle, Illustra, ObjectStore HPSS, UniTree UNIX, ftp Distributed Ecological Data (database systems, archival storage systems, file systems, ftp)

  5. This Knowledge Network requires expertise in: • Ecology • Computer Science • Informatics

  6. Texas Tech University A Collaborative Partnership: • National Center for Ecological Analysis and Synthesis • Long-Term Ecological Research Network • San Diego Supercomputer Center

  7. TEXAS SAN DIEGO SUPERCOMPUTER CENTER TECH A Collaborative Partnership:

  8. Build the technological tools to network data sources for the creation of knowledge Conduct research on the relationship between biodiversity and ecosystem function Educate the scientific community on the use of these technological tools Project Goals:

  9. Knowledge Network Collaborative Research Graduate Education Ways to Participate:

  10. Knowledge Network Ways to Participate: • Beta-test client software to manage your data • Share data via the knowledge network • Use and evaluate the knowledge network

  11. Knowledge Network Collaborative Research Ways to Participate: • Relationship between biodiversity and ecosystem function • Scale-dependence • Cross-taxon comparisons

  12. Knowledge Network Collaborative Research Graduate Education Ways to Participate: • Co-sponsor seminar at your institution • Participate in NCEAS working group • Participate as a student in the seminar at your institution

  13. Elizabeth A. Sandlin (805) 892-2528 sandlin@nceas.ucsb.edu Stephen B. Cox (806) 742-2658 cox@nceas.ucsb.edu For more information: • Contact:

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