HR: 1330h
AN: U22A-0003    [PDF]
TI: A Data Grid Framework for Sharing Data Across Distributed Heterogeneous Repositories
AU: * Hughes, J
EM: Steve.Hughes@jpl.nasa.gov
AF: Jet Propulsion Laboratory, MS 306-438 4800 Oak Grove Dr., Pasadena, CA 91109 United States
AU: Crichton, D J
EM: Daniel.J.Crichton@jpl.nasa.gov
AF: Jet Propulsion Laboratory, MS 306-438 4800 Oak Grove Dr., Pasadena, CA 91109 United States
AU: Kelly, S C
EM: Sean.C.Kelly@jpl.nasa.gov
AF: Jet Propulsion Laboratory, MS 306-438 4800 Oak Grove Dr., Pasadena, CA 91109 United States
AU: Lavoie, S K
EM: Susan.K.Lavoie@jpl.nasa.gov
AF: Jet Propulsion Laboratory, MS 168-527 4800 Oak Grove Dr., Pasadena, CA 91109 United States
AU: Walker, R J
EM: rwalker@igpp.ucla.edu
AF: University of California - LA, Inst of Geophysics & Planetary Physics, Los Angeles, CA 90095-1567 United States
AB: As the volume and diversity of science data sets continues to expand, the ability to share and correlate data across distributed heterogeneous repositories remains a serious challenge. An architectural data grid framework has been developed by the Object Oriented Data Technology (OODT) project to address this challenge and has been successfully deployed in several diverse scientific domains. Characterized by separate technology and data architectures, this framework was used by NASA's Planetary Data System (PDS) to develop the PDS-D distribution infrastructure to provide timely delivery of 2001 Mars Odyssey data to the science community as soon as the data were released from the Odyssey project. PDS-D is now being extended to address the huge data volume increases expected for the Mars Reconnaissance Orbiter (MRO). Based on the success of PDS-D, the Space Physics Archive Search and Extract (SPASE) effort is considering the framework to support a data search and retrieval system for the Space Physics science community. Further demonstrating its flexibility, the framework is also currently being used by the National Cancer Institute's Early Detection Research Network to establish a virtual specimen database by connecting together data from multiple cancer research centers across the country. This paper will highlight achievements and lessons learned from several of the deployments, identify new scientific, technical, and programmatic challenges, and describe how the OODT architectural framework is evolving to meet those challenges.
DE: 6339 System design
DE: 9820 Techniques applicable in three or more fields
SC: U
MN: 2003 Fall Meeting