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SEAD slide set (October 2011)
SEAD slide set (October 2011)
SEAD slide set (October 2011)
SEAD slide set (October 2011)
SEAD slide set (October 2011)
SEAD slide set (October 2011)
SEAD slide set (October 2011)
SEAD slide set (October 2011)
SEAD slide set (October 2011)
SEAD slide set (October 2011)
SEAD slide set (October 2011)
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SEAD slide set (October 2011)

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A slide deck describing the overall aims, goals and strategy for the SEAD (http://sead-data.net) project.

A slide deck describing the overall aims, goals and strategy for the SEAD (http://sead-data.net) project.

Published in: Technology, Business
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Transcript

  • 1. SEADSustainable Environment – Actionable Data
  • 2. Sustainability Science ScienceCooperation Technology Policy Economics Poverty & Justice 2
  • 3. Data challenges• Heterogeneity of all kinds• Multiple scales• Multidisciplinary• Many small datasets
  • 4. Provide innovative newmodels and tools forserving the long tail ofscientific research
  • 5. SEAD Partners Beth PlaleMargaret Hedstrom, PI Katy BörnerAnn Zimmerman Robert McDonald Praveen Kumar James Myers George Alter & Bryan Beecher
  • 6. SEAD’s Goals• Provide data services that address the pressing needs of researchers working toward sustainability• Integrate these services into an generalizable “Active and Social Curation” infrastructure well-suited to the social structure and economics of long-tail research communities• Develop capabilities to package and migrate datasets to a federated repository infrastructure for long-term preservation• Education, outreach, & training, to maximize value and disseminate SEAD’s contributions to other projects and communities
  • 7. SEAD’s Strategy• Move data curation upstream in the data life cycle• Involve domain scientists in setting priorities for evolution of data and services• Use a wide variety of mechanisms to remain resilient in a dynamic research and technology environment
  • 8. Active and Social Curation• Engage researchers during projects, not at the end• Use information that is automatically captured or generated through tools to reduce the costs of metadata collection and to capture its value in actionable form• Further reduce costs by re-engineering curation processes to leverage this rich metadata and volunteered effort
  • 9. Active Curation ModelActive Curation Social MediaWorkflows Data Review Rating Commenting Metadata
  • 10. SEAD Layercake View• Services over an Network of Data Producers active content layer that is backed Web User Interface by/harvested Active Content Repository into a federated Services Provided archive Content Mining Curation Decisions Archival data Other services infrastructure generation based on Virtual Archives institutional Institutional Repositories resources Data Conservancy IU RPI UIUC UM ICPSR User Network
  • 11. AcknowledgmentsSEAD is funded by the National ScienceFoundation under cooperative agreement#OCI0940824

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