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The Open Data Environment

Explore models of open data environments, cyberinfrastructure frameworks, and tools for collaboration in this informative discussion. Learn about the Data Life Cycle, DDI 3.0, and implementation strategies for open data initiatives. Discover how national and international collaborations can shape the future of data environments.

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The Open Data Environment

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  1. The Open Data Environment IASSIST 2007 Chuck Humphrey University of Alberta

  2. Outline • Themes emerging from IASSIST 2006 • A cyberinfrastructure framework • A model of an open data environment • Tool development collaboration

  3. IASSIST 2007 and open data • Four themes from IASSIST 2006 • Cyberinfrastructure • Digital Repositories • DDI 3.0 • Data Life Cycle • I will use these four themes from last year’s conference to set the context for describing some models of open data environments.

  4. An infrastructural framework European Research Observatory for the Humanities and Social Sciences (EROHS) Bjørn Henrichsen Chair, ESFRI Social Science and Humanities Roadmap Working Group IASSIST - Ann Arbor - May 24 2006

  5. Open Access OUTPUTS Open Data Data Environment Open Source

  6. Implementation strategies • There will be a mix of strategies to implement large, complex cyberinfrastructure frameworks, such as the one articulated by the ESFRI Social Sciences and Humanities Roadmap Working Group. • Among the mix of strategies will be national and international initiatives from research councils and agencies funding infrastructure development. • Open data environments also have a role to play in these implementation strategies.

  7. Data Environments

  8. Life Cycle Model of Research Knowledge Creation

  9. No Open Metadata : No Open Data Closed Data Environment

  10. No Open Metadata : Open Data File Retrieval Environment

  11. Open Metadata : No Open Data Discovery Environment

  12. Repurposing Environment Open Metadata : Open Data

  13. Tool development collaboration • How can we collaborate nationally and internationally in developing an open data environment? • These open data environments depend also on tools to facilitate preservation and access. • Build simple tools that perform single functions and that can be chained together • Meet to discuss development needs • Share in development

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