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Canadian RDC Report

This report provides an update on the status of the Canadian Research Data Centre (RDC) project, including information on the e-Science framework, managing RDC operations, and making metadata sustainable.

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Canadian RDC Report

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  1. Canadian RDC Report Where are we now? Chuck Humphrey, Alberta Research Data Centre

  2. BCIRDC Victoria Western Sudbury Alberta COOL CRISP SWORDC Prairie McMaster Queen’s Manitoba Atlantic Toronto CIQSS Laval McGill Sherbrooke UQAM Centres in first CFI application Provincial funds leveraged by first CFI application

  3. The RDC Network BCIRDC Victoria Western Sudbury Alberta COOL CRISP SWORDC Prairie McMaster Queen’s Manitoba Atlantic Toronto CIQSS Laval McGill Sherbrooke UQAM

  4. Outline • RDC Project status • An e-Science framework for our RDC project • Information flow for managing RDC operations • Making metadata sustainable

  5. RDC project status • Phase I RFP is ready to go to bid • Two projects • Production of metadata for 100 survey titles • Develop tools to create metadata for virtual data files • Phase II RFP developed in Fall 2008 • One project • Develop metadata analysis tools for making comparisons • This includes instances of searching (1) for comparable variables within ongoing surveys across multiple cycles, (2) for similar variables across different surveys, (3) for variables employing the use of thesauri and concept registers, and (4) for varying ways of representing conceptual relationships among variables.

  6. Why use the e-science framework? • U.S. (cyberinfrastructure) and European (e-science) funding envelopes have been established to provide access to global science resources. • The e-science framework provides a reporting structure to the Canadian Foundation for Innovation on our progress. • The e-science framework positions the RDC Network within the larger infrastructure of other sciences.

  7. VirtualCommunity VirtualCommunity VirtualCommunity Meetings, experiments, etc. Meetings, experiments, etc. Meetings, experiments, etc. Workspace Workspace Workspace Virtual Laboratories Virtual Laboratories Virtual Laboratories Scientific Data Scientific Data Scientific Data Scientific Data Economies of Scale EfficiencyGains Grid Grid Grid Grid Network Network Network Network Global virtual research community Source: Ulf Dahlsten, “Building a global virtual research community,” at the International Data Forum, Beijing, June 7, 2007

  8. RDC Infrastructural Architecture RDC Virtual Project RDC Virtual Project RDC Virtual Project RDC Virtual Project RDC Virtual Project RDC Virtual Project Data & Metadata Data & Metadata Data & Metadata DDI FoundationTools Middleware RDC lightpath / APN National Optical Research Network

  9. RDC Infrastructural Architecture RDC Virtual Project RDC Virtual Project RDC Virtual Project RDC Virtual Project RDC Virtual Project RDC Virtual Project Service-oriented information architecture (Foster, 2005) Data & Metadata Data & Metadata Data & Metadata DDI FoundationTools Middleware RDC lightpath / APN National Optical Research Network

  10. Service-oriented information architecture • See: Foster, Ian (2005). Service-oriented information architecture. Science, 308: 814-817. • This method is based on networks of loosely coupled information services structured as a system. • Fundamental to the interoperability of services-oriented architecture are standards and protocols. • Metadata enable the interoperability.

  11. Project Approval Output Disclosure Analysis Project Application Research Commun- icatons Project Creation Generate Analysis Files Access to Data Metadata enabled interoperability • The metadata in the RDC project serve as the source for building services. • The metadata come from the stages in the life cycle of RDC virtual projects. Stages in the life cycle

  12. Managing Research Outputs Managing RDC Projects Managing Data Disclosure process Application processes Master files Publications Contract process Work/analysis files Knowledge management Project account process File system backups Information package for managing RDC projects Project Application Project Approval Project Creation

  13. Managing Research Outputs Managing RDC Projects Managing Data Disclosure process Application processes Master files Publications Contract process Work/analysis files Knowledge management Project account process File system backups Information package for managing RDC data Generate Analysis Files Access to Data

  14. Managing Research Outputs Managing RDC Projects Managing Data Disclosure process Application processes Master files Publications Contract process Work/analysis files Knowledge management Project account process File system backups Information package for managing research outputs Output Disclosure Analysis Research Commun- icatons

  15. Factors in Sustainability • Persuade data producers to provide their metadata in DDI 3.0 • Statistics Canada has an internal working group exploring the production of DDI metadata • Increase the widespread adoption of the metadata in practice • Other Canadian initiatives producing DDI metadata, e.g., the Ontario College and University Libraries ODESI project • Expand the return on the costs of producing metadata by generating new uses of the metadata • International interest in developing tools for mining DDI metadata for comparative purposes

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