CNI Spring 2010 Membership Meeting
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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

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


Datacite @ uc3

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)


Datacite @ uc31

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


The gap between possibility and practice

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


What we d like to enable

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


Cdl discovery services

CDL discovery services

ark:/a50600/rb2468097

doi:10.5060/rb2468097

http://n2t.net/a5060/rb2468097


Cdl escholarship publishing

CDL eScholarship publishing

Supplementary Data

Reichl, R., Waldinger, R., et al. (2006)

Table A: Survey of Attitudes …

Table B: Latinos in LA Basin …


Licensed resources

Licensed resources

Supplementary data


Dataone

DataONE


Identity is a fundamental curation service

Identity is a fundamental curation service


Easy identifiers ezid

Easy Identifiers (EZID)

Tier 1Anonymous request for persistent identifier

Tier 2Tier 1, plus supply of a resolvable URL

(c.f.tinyurl)

Tier 3Tier 2, but authenticated

(enabling link checking and personalized services)

Tier 4Tier 3, plus supply of metadata

(enhanced discovery and resolution)

Tier 5Tier 4, plus supply of the digital asset

(for local or brokered hosting)

Tier 6Tier 5, plus supply of the asset from the web

(c.f.Zotero)


User facing ezid interfaces

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: [email protected]

  • REST

    POST /mint/scheme/namespace HTTP/1.1


Repository for cited data

Repository for cited data


Pilot projects

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


Next steps

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


Summary

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


For more information

For more information

DataCite

http://www.datacite.org/

UC Curation Center

http://www.cdlib.org/services/uc3

[email protected]

[email protected]

[email protected]


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