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MAEviz as a MAE/NCSA Cyberenvironment Partnership

MAEviz as a MAE/NCSA Cyberenvironment Partnership. Jim Myers Associate Director NCSA Cyberenvironments. Leveraging Expertise and Cyberinfrastructure. MAEViz has been developed faster and is more effective due to its incorporation of Design concepts, Lessons learned, and

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MAEviz as a MAE/NCSA Cyberenvironment Partnership

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  1. MAEviz as a MAE/NCSA Cyberenvironment Partnership Jim Myers Associate Director NCSA Cyberenvironments

  2. Leveraging Expertise and Cyberinfrastructure • MAEViz has been developed faster and is more effective due to its incorporation of • Design concepts, • Lessons learned, and • Software components developed through a focused effort to understand virtual organizations and to develop domain-independent infrastructure.

  3. Workflow, Provenance, RDF “Understanding the Scientific Basis of Decisions is Critical” Process Aware Process Capture Discover Execute Impact of a New Madrid Event Impact of a New Madrid Event Impact of a New Madrid Event Impact of a New Madrid Event Impact of a New Madrid Event Report

  4. “Developing a Scenario requires a wide range of expertise” Group Aware Collaboratory, Portal, … SSO Plan, Coordinate, Share, Compare Wiki Task List Chat Document Repository Scenario Repository Training Materials

  5. “My results could impact how we prepare for the next event” Dynamic Plug-ins, Provenance, Environment New Third-Party Analyses Compare, Contrast, Validate Auto-update MAEviz GIS Workflow Data Eclipse RCP Plug-in Framework

  6. An Exemplar of a New Mode of R,D & D • A End-to-End Cyberenvironment Designed to Support Consequence-Based Risk Management • Reducing the “Time From Discovery” • Demonstrating Core Design Principles and Capabilities Applicable Across Many Domains • Providing a Concrete Use Case for New Developments

  7. CyberenvironmentsMosaic and Cyberenvironments • Mosaic • By early 1990s, the internet had a wealth of resources, but they were inaccessible to most scientists • Individual publishing • Browsing versus retrieving • See “Web 2.0 ... The Machine is Us/ing Us” • Cyberenvironments • By the early 2000’s, the internet and grid had a wealth of interactive resources, but they were inaccessible to most scientists • Individual information models • Fusion versus gathering See “The Machine is Us/ing Us”! Michael Wesch

  8. Digital Observatories Publish Model Researchers From Basic Research to Societal Impact Policy Makers Students Citizens Explore Understand Observe

  9. The Open Provenance Model NCSA, Pacific Northwest National Laboratory, U. Utah, U. Southampton via theInternational Provenance and Annotation Workshop (IPAW) series The Baker NSF Semantic Web Implementation within NCSA’s Tupelo Framework wascatalyzedby Making desert wascatalyzedby recipe used funding proposal The Oven used wastriggeredby wastriggeredby wascatalyzedby ingredients Cake baking cake used wasgeneratedby

  10. Digital Preservation • Part of the EU SHAMAN effort to develop robust preservation systems Format Interpretation Content Presentation Logical/ Semantic Data Model MultiValent Browser DFDL Format Descriptors Defuddle NCSA U. Liverpool Distributed Records Management Framework ASCII XML IRoDS Binary e.g. Word 1.0 SDSC/SHAMAN

  11. A Production Model for Collaboration • MAEviz is Driven by MAE/Community Needs • Architecture incorporates the latest ideas yet • MAEviz development priorities are focused on MAE/Community needs • MAEviz is developed using rigorous software engineering methods • MAEviz does not incorporate unproven software or extraneous core functionality to serve research needs • Avoids ‘perpetual beta’ and high barriers of more tightly coupled approaches…

  12. A True Partnership • Leadership, Requirements Gathering, Funding, Evaluation from MAE Center • Cyberinfrastructure Expertise, Developers, Components and Funded Component R&D from NCSA

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