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Welcome to Cybershare

Cyber-ShARE is the Center of Excellence for Sharing resources for the Advancement of Research and Education through Cyberinfrastructure at the University of Texas at El Paso.

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the infrastructure that integrates "hardware computing, data and networks, digitally-enabled sensors, observatories and experimental facilities, and an interoperable suite of software and middleware services and tools." -- Cyberinfrastructure as defined by the National Science Foundation CI Council

The Center concentrates specifically on the aspects of CI that deal with software and middleware services and tools, with the focus on the development of scientific CI applications and on training the next generation of scientists who can effectively use CI to perform leading-edge science.

The Cyber-ShARE Center brings together experts in computer science, computational mathematics, education, earth science, and environmental science who addresses the challenge of providing information to scientists and other CI users that will enable them to make informed decisions about retrieved resources and to have confidence in using results from CI-based applications. The Cyber-ShARE team conducts innovative research to facilitate the development of CI-based applications and increase their use by scientists by enhancing CI results with provenance information, trust recommendations, and uncertainty levels (areas that are recognized as essential for the success of CI), by creating scientist-centered tools and artifacts, and by contributing CI resources to appropriate CI portals. In addition, the following synergistic and multi-disciplinary subprojects will advance knowledge in:

  • provenance to capture knowledge about uncertainty and trust using results from discipline experts;
  • the physical properties of the Earth by studying CI-based techniques and approaches for integrating data with varying accuracy and sensitivity;
  • optimization of data streams and sensor arrays in ecological and environmental networks by targeting improved characterization of environmental phenomenon and processes.

Many of the Center researchers have been involved in national CI efforts, e.g., CEON, GEON, EarthScope, and they will work with an educator who has expertise in technology and science education to create unique and effective CI-based teaching components.

  
This material is based upon work supported in part by the National Science Foundation under CREST Grant No. HRD-0734825. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation (NSF).
 
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