UC3

Standards and Best Practices for Datasets and

Other Supplemental Journal Article Materials

DataCite @ UC3Stephen Abrams

Patricia CruseJohn Kunze

UC Curation CenterCalifornia Digital LibraryUniversity of California

CNI Spring 2010 Membership MeetingBaltimore, April 12-13, 2010

UC3

DataCite @ UC3The 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)

UC3

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

Publish Preserve

Access

Collect

Discover

Gather

Create

Share

ManageResearch

TeachLearn

Information lifecycleScholarly lifecycle

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The gap between possibility and practice

Journal articles– 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

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

UC3

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

UC3

CDL discovery services

ark:/a50600/rb2468097doi:10.5060/rb2468097http://n2t.net/a5060/rb2468097

UC3

CDL eScholarship publishing

Supplementary DataReichl, R., Waldinger, R., et al. (2006)Table A: Survey of Attitudes …Table B: Latinos in LA Basin … …

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Licensed resources

Supplementary data

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DataONE

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Identity is a fundamental curation service

ValueAnnotation of content by consumers

Notification of new content availability

Transformation to create derivatives

ServiceSearch of content and metadata

Index to enable fast search

Curation Ingest of content for curation

PreservationContext

Characterization to extract content properties

Inventory of curated content and metadata

Replication for safety

StateFixity to verify bit-level integrity

Storage for long-term retention

Identity for long-term reference

UC3

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)

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User-facing EZID interfaces

Two primary methods: mint and bindid = mint (scheme, namespace)bind (id, url)bind (id, metadata)

Interface implementations

– HTML

– Emailmailto: mint@ezid.cdlib.org

– RESTPOST /mint/scheme/namespace HTTP/1.1

MintDOIScheme: Namespace: UC3

Identifier:

UC3

Repository for cited dataIngest Service

Submission package

File: Browse...

Object profile

File

Container

Profile:

Object identifierPrimary Identifier:

Leave blank to have identifier assigned automatically

My profile

Object description (optional)

My profile Log out Help

Creator:

Title:

Date:

UC3 M e r r i t t

Copyright © 2009 The Regents of the University of California Terms of service HelpWednesday, December 9, 2009 12:04pm PST

What is an object file?

What is an object container?

What is a profile?

What is a creator?

What is a date?

What is a title?

Local Identifier: What is a local identifier?

What is a primary identifier?

Manifest What is an object manifest?

Manifest What is a batch manifest?Batch of objects

Single object

Submission operationCreate a new object

Update an existing object

Package verification (optional)

MD5Checksum:

What is a checksum?

UC3

Pilot projects

UC ETDshttp://www.escholarship.org/

Dryadhttp://datadryad.org/repo

UC Berkeley Water Resources Centerhttp://www.lib.berkeley.edu/WRCA

UC Berkeley Jepson Herbariumhttp://ucjeps.berkeley.edu/jeps

UC3

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

UC3

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

UC3

For more information

DataCitehttp://www.datacite.org/

UC Curation Centerhttp://www.cdlib.org/services/uc3

Stephen.Abrams@ucop.eduPatricia.Cruse@ucop.edujak@ucop.edu