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Persistent Identifier Services and
their Metadata
John Kunze
California Digital Library
2
Decoding the title
persistent identifier services and their metadata
|| || ||
things, actions, and descriptors
|| || ||
nouns, verbs, and adjectives
||
preserving and serving scholarly communication around data
(Context: scholarly research data)
2
Obama
4
An identifier is not a string of characters
An identifier is an association between a string and thing.
An association is an opinion asserted by an authority.
Example 1:
http://allrecipes.com/recipe/sauteed-fiddleheads
Example 2:
4CF3-57AB-2481-651D-D53D-Q
4
http://dx.doi.org/10.5072/4CF3-57AB-2481-651D-D53D-Qhttp://dx.doi.org/10.5240/4CF3-57AB-2481-651D-D53D-Q
5
Identifier schemes (v1)
• URL (Uniform Resource Locator)
• the first time poor id management is blamed on syntax
• URN (Uniform Resource Name)
• first attempt to correct poor id management with syntax
• Handle
• second attempt to correct poor id management with syntax
• DOI (Digital Object Identifier)
• third attempt to correct poor id management with syntax
• ARK (Archival Resource Key)
• attempt to let id management be queryable (not yet realized)
5
6
Identifier schemes (v2)
• URL (Uniform Resource Locator)
• world’s first actionable id, now underlying all other types
• URN (Uniform Resource Name)
• open infrastructure, not fully realized globally
• Handle
• closed infrastructure, fully realized globally
• DOI (Digital Object Identifier)
• CrossRef enforces good id management, DataCite learning
• ARK (Archival Resource Key)
• open infrastructure, realized locally and globally
6
7
If DOIs won why talk about non-DOIs?
• Cost
• Open access
• Changing nature of the DOI
• Flexibility
7
8
Types of identifier services
• Repository – parking the bits
• Data-aware dissemination
• more than just returning parked bits
• Citation management for end user researchers
• Research tracking – measuring use and impact
• Identifier creation, management, and resolution
8
9
Many service tools, many APIs
Repository Tools
• ArXiv *
• Dataverse *
• Fedora/Hydra
• Dspace *
• Eprints
• DataONE
• Merritt/Stash
• figshare
• Zenodo
9
Citation Management
• Mendeley
• Zotero
Metrics and Tracking
• Altmetric
• Impactstory
• Thomson Reuters Data Citation
Index
• Elsevier Scopus
10
API concepts
Application Programming Interface (API)
• how software talks to a service
• unlike a Graphical User Interface (GUI)
• more like a Command Line Interface (CLI)
APIs and CLIs use language constructs
• Verbs, nouns, and qualifiers are "words”, and
• words form commands/requests/responses,
• which form scripts and programs.
10
11
APIs are metadata sentences
A command line interface powering an API interaction
11
$ sort mydata > sorted_data
$ grep Smith sorted_data
Smith, Sally 2014-04-01 406B
Wong, Frank 2013-11-28 334
$ wget --user=sam --no-check-certificate 
"https://n2t.net/a/ezid/b?set cost 25.50"
status: ok
12
Problem: traditional standardization
• Change by committee is ugly, costly, and slow
• Example: Dublin Core, 15 cross-domain terms
12
European Parliament Technology - DG ITEC @ flickr
The Metadata Universe
Jenn Riley,
IU
The Metadata Universe
Jenn Riley,
IU
The Metadata Universe
Jenn Riley,
IU
The Metadata Universe
Jenn Riley,
IU
The Metadata Universe
Jenn Riley,
IU
18
An alternate metadata universe
• Vision: one dictionary, one namespace
• All research domains, any part of “metadata speech”
• Names, values, units, relationships, ...
• Search for terms, comment on terms, add terms, edit
your terms, API for automated access
• All terms with globally unique persistent identifiers
• Available at yamz.net (yet another metadata zoo)
18
19
YAMZ.net dictionary sociology
• Crowd-sourced evolving vernacular terms, stable
canonical terms, and deprecated terms
• Use evolving terms depending on your risk tolerance
• Reputation-based (gaming-resistant) voting means
strong terms rise, weak terms decline
19
Applying lessons learned from Wikipedia, the
Internet-Draft/RFC process, and StackOverflow
20
Summary
• Identifiers are not strings, but associations that break
when things are not managed well
• People can forget names because we can google, but
APIs need persistent names for automation at scale
• APIs are languages using metadata as “words”
• Future API building will focus on vocabulary building
• For example, yamz.net
20
Thank you!
John.Kunze@ucop.edu

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Persistent Identifier Services and their Metadata by John Kunze

  • 1. Persistent Identifier Services and their Metadata John Kunze California Digital Library
  • 2. 2 Decoding the title persistent identifier services and their metadata || || || things, actions, and descriptors || || || nouns, verbs, and adjectives || preserving and serving scholarly communication around data (Context: scholarly research data) 2
  • 4. 4 An identifier is not a string of characters An identifier is an association between a string and thing. An association is an opinion asserted by an authority. Example 1: http://allrecipes.com/recipe/sauteed-fiddleheads Example 2: 4CF3-57AB-2481-651D-D53D-Q 4 http://dx.doi.org/10.5072/4CF3-57AB-2481-651D-D53D-Qhttp://dx.doi.org/10.5240/4CF3-57AB-2481-651D-D53D-Q
  • 5. 5 Identifier schemes (v1) • URL (Uniform Resource Locator) • the first time poor id management is blamed on syntax • URN (Uniform Resource Name) • first attempt to correct poor id management with syntax • Handle • second attempt to correct poor id management with syntax • DOI (Digital Object Identifier) • third attempt to correct poor id management with syntax • ARK (Archival Resource Key) • attempt to let id management be queryable (not yet realized) 5
  • 6. 6 Identifier schemes (v2) • URL (Uniform Resource Locator) • world’s first actionable id, now underlying all other types • URN (Uniform Resource Name) • open infrastructure, not fully realized globally • Handle • closed infrastructure, fully realized globally • DOI (Digital Object Identifier) • CrossRef enforces good id management, DataCite learning • ARK (Archival Resource Key) • open infrastructure, realized locally and globally 6
  • 7. 7 If DOIs won why talk about non-DOIs? • Cost • Open access • Changing nature of the DOI • Flexibility 7
  • 8. 8 Types of identifier services • Repository – parking the bits • Data-aware dissemination • more than just returning parked bits • Citation management for end user researchers • Research tracking – measuring use and impact • Identifier creation, management, and resolution 8
  • 9. 9 Many service tools, many APIs Repository Tools • ArXiv * • Dataverse * • Fedora/Hydra • Dspace * • Eprints • DataONE • Merritt/Stash • figshare • Zenodo 9 Citation Management • Mendeley • Zotero Metrics and Tracking • Altmetric • Impactstory • Thomson Reuters Data Citation Index • Elsevier Scopus
  • 10. 10 API concepts Application Programming Interface (API) • how software talks to a service • unlike a Graphical User Interface (GUI) • more like a Command Line Interface (CLI) APIs and CLIs use language constructs • Verbs, nouns, and qualifiers are "words”, and • words form commands/requests/responses, • which form scripts and programs. 10
  • 11. 11 APIs are metadata sentences A command line interface powering an API interaction 11 $ sort mydata > sorted_data $ grep Smith sorted_data Smith, Sally 2014-04-01 406B Wong, Frank 2013-11-28 334 $ wget --user=sam --no-check-certificate "https://n2t.net/a/ezid/b?set cost 25.50" status: ok
  • 12. 12 Problem: traditional standardization • Change by committee is ugly, costly, and slow • Example: Dublin Core, 15 cross-domain terms 12 European Parliament Technology - DG ITEC @ flickr
  • 18. 18 An alternate metadata universe • Vision: one dictionary, one namespace • All research domains, any part of “metadata speech” • Names, values, units, relationships, ... • Search for terms, comment on terms, add terms, edit your terms, API for automated access • All terms with globally unique persistent identifiers • Available at yamz.net (yet another metadata zoo) 18
  • 19. 19 YAMZ.net dictionary sociology • Crowd-sourced evolving vernacular terms, stable canonical terms, and deprecated terms • Use evolving terms depending on your risk tolerance • Reputation-based (gaming-resistant) voting means strong terms rise, weak terms decline 19 Applying lessons learned from Wikipedia, the Internet-Draft/RFC process, and StackOverflow
  • 20. 20 Summary • Identifiers are not strings, but associations that break when things are not managed well • People can forget names because we can google, but APIs need persistent names for automation at scale • APIs are languages using metadata as “words” • Future API building will focus on vocabulary building • For example, yamz.net 20 Thank you! John.Kunze@ucop.edu