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Stephen Abrams Patricia Cruse John Kunze UC Curation Center California Digital Library

CNI Spring 2010 Membership Meeting Baltimore, April 12-13, 2010. Standards and Best Practices for Datasets and Other Supplemental Journal Article Materials DataCite @ UC3. Stephen Abrams Patricia Cruse John Kunze UC Curation Center California Digital Library University of California.

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Stephen Abrams Patricia Cruse John Kunze UC Curation Center California Digital Library

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  1. CNI Spring 2010 Membership Meeting Baltimore, April 12-13, 2010 Standards and Best Practices for Datasets and Other Supplemental Journal Article MaterialsDataCite @ UC3 Stephen Abrams Patricia Cruse John Kunze UC Curation Center California Digital Library University of California

  2. DataCite @ UC3 The California Digital Library was founded by the University of California in 1997 to take advantage of emerging technologies transforming the way digital information is published and accessed In collaboration with the UC libraries and other partners, the CDL has assembled one of the world’s largest digital research libraries and changed the ways that faculty, students, and researchers use information • Collection development, licensing, mass digitization, and cataloging • Digital special collections • Discovery and delivery • Publishing • UC Curation Center (UC3)

  3. DataCite @ UC3 • UC3’s participation in DataCite is a continuation of our ongoing activities in digital curation • –The set of policies and practices focused on managing and adding value to a body of trusted digital content over time

  4. The gap between possibility and practice Journal articles Data Few archives in widely visible facilities Difficult data management after project funding ceases Little opportunity for publication, informal discovery Ad hoc funding sources, if at all Not included in impact analysis • Most articles held in multiple academic and national libraries • Libraries ensure long-term storage and access • Extensive mechanisms for publication and discovery • Established funded mechanisms for archival management • Citations form the basis of impact analysis

  5. What we’d like to enable… Precise identification of datasets at appropriate granularity Bi-directional linking between traditional publications and the data underlying them Domain-specific discovery to facilitate innovative reuse of data Citation “credit” for data producers and publishers Use metrics for data

  6. CDL discovery services ark:/a50600/rb2468097 doi:10.5060/rb2468097 http://n2t.net/a5060/rb2468097

  7. CDL eScholarship publishing Supplementary Data Reichl, R., Waldinger, R., et al. (2006) Table A: Survey of Attitudes … Table B: Latinos in LA Basin … …

  8. Licensed resources Supplementary data

  9. DataONE

  10. Identity is a fundamental curation service

  11. Easy Identifiers (EZID) Tier 1 Anonymous request for persistent identifier Tier 2 Tier 1, plus supply of a resolvable URL (c.f.tinyurl) Tier 3 Tier 2, but authenticated (enabling link checking and personalized services) Tier 4 Tier 3, plus supply of metadata (enhanced discovery and resolution) Tier 5 Tier 4, plus supply of the digital asset (for local or brokered hosting) Tier 6 Tier 5, plus supply of the asset from the web (c.f.Zotero)

  12. User-facing EZID interfaces Two primary methods: mint and bind id = mint (scheme, namespace) bind (id, url) bind (id, metadata) Interface implementations • HTML • Email mailto: mint@ezid.cdlib.org • REST POST /mint/scheme/namespace HTTP/1.1

  13. Repository for cited data

  14. Pilot projects UC ETDs http://www.escholarship.org/ Dryad http://datadryad.org/repo UC Berkeley Water Resources Center http://www.lib.berkeley.edu/WRCA UC Berkeley Jepson Herbarium http://ucjeps.berkeley.edu/jeps

  15. Next steps Work with DataCite partners to establish metadata and citation standards and best practices Integrate support for DataCite DOIs into EZID Promote data citation for research, teaching, and learning on UC campuses and by funded project partners Increase the visibility of UC3 as a DataCite registration agency and the UC3 curation environment for data hosting

  16. Summary Digital resources lacking identification cannot be curated Data should be seen (and supported) as a new kind of publication Scholarly inquiry is facilitated by bi-directional linking between articles and the data on which they are based DataCite plays a vital role in supporting data as citable publication UC3 is working with campus and external partners to provide effective data citation services

  17. For more information DataCite http://www.datacite.org/ UC Curation Center http://www.cdlib.org/services/uc3 Stephen.Abrams@ucop.edu Patricia.Cruse@ucop.edu jak@ucop.edu

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