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A River Runs Through It ARL Membership Meeting Sayeed Choudhury Sheridan Libraries, Johns Hopkins October 15, 2009.

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Presentation on theme: "A River Runs Through It ARL Membership Meeting Sayeed Choudhury Sheridan Libraries, Johns Hopkins October 15, 2009."— Presentation transcript:

1 A River Runs Through It ARL Membership Meeting Sayeed Choudhury Sheridan Libraries, Johns Hopkins October 15, 2009

2 DataNet NSF awards for The Data Conservancy (Johns Hopkins University) and DataONE (University of New Mexico) $20 million, 5 year multi-institution awards to build data curation infrastructure Part of $100 million NSF DataNet program Perhaps first of such programs at federal funding agencies?

3 Data Conservancy Goal The overarching goal of the Data Conservancy is to support new forms of research and learning to meet these challenges through the creation, implementation, and sustained management of an integrated and comprehensive data curation strategy.

4 Feasibility Study EAGER grant to Sheridan Libraries at Johns Hopkins for feasibility study of an open-access publication repository of NSF funded research Council on Library and Information Resources (CLIR) and University of Michigan are partners Assess technology, policy, and business model dimensions

5 (Initial) Possible Approaches Developing a new system using systems such as Pubman Building on existing system(s) such as arXiv.org Adopting and customizing PubMedCentral technology Federating a network of institutional repositories Leveraging the HathiTrust

6 Potential Library Roles? It depends… …What forms of research and learning? Let’s consider how the Earth preserves its rivers… …Where does your Library’s strategy fit within this “ecosystem”?

7 Suggested Roles Preservation of data (refer to the T-Mobile and Microsoft/Danger data loss articles) Metadata consulting Data scientist (or Data engineer or Data humanist) Integration of distributed data sources

8 Data Model using OAI-ORE

9 Acknowledgements Tim DiLauro and David Reynolds (OAI-ORE slide) NLG grant award LG0606018206 DataNet award for “The Data Conservancy” and EAGER award for open access repository feasibility study


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