SlideShare a Scribd company logo
1 of 24
EZID: Easy Persistent Identifiers
       and Data Citation
          31 October 2011

      John Kunze and Joan Starr
       California Digital Library
EZID:
      Easy Persistent Identifiers & Data Citation

Introduction
Citation, DataCite and EZID
     Who? Why? What?
EZID’s next steps: tech talk
     New stuff, use cases, feedback
Feedback
California Digital Library (CDL)
The research data problem
an article about data, but no data
What citation offers
• To aid scientific reproducibility
• To provide fair credit
• To ensure scientific transparency and
  reasonable accountability
• To aid in tracking the impact, including
  – helping data authors verify use of their data and
  – helping future data users identify how others have
    used the data
DataCite
German National Library of Economics (ZBW)                   Canada Institute for Scientific and Technical Information
German National Library of Science and Technology (TIB)          (CISTI)

German National Library of Medicine (ZB MED)                 Technical Information Center of Denmark

GESIS - Leibniz Institute for the Social Sciences, Germany   Institute for Scientific & Technical Information (INIST-

Australian National Data Service (ANDS)                          CNRS), France

ETH Zurich, Switzerland                                      TU Delft Library, The Netherlands

                                                             The Swedish National Data Service (SNDS)

                                                             The British Library , UK

                                                             California Digital Library (CDL), USA

                                                             Office of Scientific & Technical Information (OSTI), USA

                                                             Purdue University Library
EZID: long-term identifiers made easy
           take control of the
            management and
distribution of your research,
   share and get credit for it,
    and build your reputation
    through its collection and
              documentation




                  Primary Functions
                  1. Create persistent identifiers
                  2. Manage identifiers over time
                  3. Manage associated metadata over time
http://n2t.net/ezid
Current EZID Clients
                                               A partial list

UC Berkeley Library (on behalf of the UC Berkeley     The Digital Archaeological Record (tDAR)
campus) Sponsored accounts:

      Open Context                                    Dryad Digital Repository
      CRCNS.org
UC San Diego Library (on behalf of the UC San Diego   Fred Hutchinson Cancer Research Center
campus)

American Astronomical Society (AAS)                   LabArchives
Centre national de documentation                      National Center for Atmospheric Research
                                                      (NCAR)
pédagogique (CNDP)
Cornell Institute for Social & Economic               USGS/Earth Sciences Data Clearinghouse
Research                                              (formerly National Biological Info. Infrastructure)
New features in trial or active development

• Service replicas: manager and resolver
• URN (Uniform Resource Name) support (urn:uuid:)
• Suffix pass-thru: do NT and get N/ST/S for free
• Tombstone/incubation/... surrogate pages, id
  status (reserved or public), and multiple targets
• Identifier status: reserved or public
• Content negotiation and inflections: ? ?? / .
• ARK community and governance, eg, registries
Service replicas
• EZID is an id manager that populates N2T
   – It tolerates down time
   – Other id manager services might one day populate N2T
• N2T (Name-to-Thing) is an id resolver that ...
   – It is very intolerant of down time, since it services all
     access requests for locations and metadata
   – N2T was designed with global replication in mind
URN support
• N2T and EZID are agnostic about kinds of things,
  names, and metadata
   – Digital, physical, abstract, living, fictional, groups, etc.
   – Any metadata & known profiles (DataCite, Dublin Kernel)
   – ARK, DOI, URN, Handle, IVOA, LSID, PMID, etc., requiring
     namespace “write” permission, eg, via DataCite
• In test: Uniform Resource Names (URNs)
   – urn:uuid namespace
Under the hood keysmithing terms:
bows, shoulders, blades, tips, covers
Suffix pass-thru: NT gets N/ST/S for free

Idea: if name N points to target T, then requests for N
  extended by any suffix N/S can take you to T/S
• For dataset doi:10.5072/Big4 with 10,000
  nameable components,
   – Register and manage 10,001 names or 1 name?
   – Eg, http://x.y.z/foo/Big4/db/table/cell/45-8.txt could be
     reached with doi:1.5072/Big4/table/cell/45-8.txt
• In test with ARKs. Conflict with other resolvers?
Tombstone and other surrogate pages

Tombstone, incubation, and other surrogate pages
  (probation?) auto-generated from metadata, eg,
  http://n2t.net/ezid/tombstone/id/ark:/20775/bb3243444z
Reserved identifiers and multiple targets

• Some ids must be created and managed (reserved)
  before going public, eg, for manuscript preparation
• In test: infrastructure for multiple targets and
  multiple instances of any metadata element
• What should user experience be for multiple targets?
   – Present a menu of targets (burden of choice)?
   – One target chosen for them (burden of inflexibility)?
Identifier (ARK) inflections: ? ?? / .

• Inflect: change endings w.o. creating new words
  – Terminal ? means “I want metadata”, which is similar to
    linked data content negotiation (also in EZID test)
  – Terminal ?? means “I also want support metadata”
  – Drawing board: / could mean “I want a landing page”
    and . could mean “I want the usual computable thing”
• Allow inflections beyond ARKs to DOIs/URNs?
Example: http://n2t.net/ark:/13030/qt0349g1rh?
        Renninger, Heidi; Phillips, Nathan; Hodel, Donald. “Comparative hydraulic and
            anatomic properties in palm trees (Washingtonia robusta) of varying
            heights”. 2009-04-29. ark:/13030/qt0349g1rh



     HTML content with
     embedded comments in
     ANVL/ERC and RDF



erc:
who: Renninger, Heidi,; Phillips,
   Nathan,; Hodel, Donald,
what: Comparative hydraulic and
   anatomic properties in palm
   trees (Washingtonia robusta)
   of varying heights
when: 2009-04-29
where: ark:/13030/qt0349g1rh
ARK community and governance

•   ARKs soon to have a mailing list
•   Topics: governance, community, standardization
•   Registry maintenance: shoulders and NAANs
•   N2T consortium with alternative EZID-like services
For information
• http://www.cdlib.org/services/uc3/ezid
  •   Understanding ids and conventions (shoulders, etc)
  •   Choosing the right identifier (ARK vs DOI? ARK and DOI?)
  •   EZID FAQs and N2T vision
  •   EZID Service Guidelines
  •   EZID Handout/brochure
  •   EZID webinars & slides


Contact Joan Starr at uc3@ucop.edu
For (even) more information
EZID
http://n2t.net/ezid/
http://www.cdlib.org/services/uc3/ezid/


UC Curation Center
http://www.cdlib.org/uc3
uc3@ucop.edu


UC3 webinar series
http://www.cdlib.org/uc3/uc3webinars.html


UC3/CDL
Stephen Abrams        David Loy
Lisa Colvin           Mark Reyes
Patricia Cruse        Abhishek Salve
Scott Fisher          Tracy Seneca
Erik Hetzner          Carly Strasser
Greg Janée            Joan Starr
John Kunze            Marisa Strong
Margaret Low          Perry Willett
Questions?




 by Horia Varlan
 http://www.flickr.com/photos/horiavarlan/4273168957/in/photostream/

More Related Content

What's hot

Hypatia for dlf 2011
Hypatia for dlf 2011Hypatia for dlf 2011
Hypatia for dlf 2011DLFCLIR
 
The ARK Identifier Scheme at Ten Years Old
The ARK Identifier Scheme at Ten Years OldThe ARK Identifier Scheme at Ten Years Old
The ARK Identifier Scheme at Ten Years OldJohn Kunze
 
Triplifier talk
Triplifier talkTriplifier talk
Triplifier talkJohn Deck
 
Germplasm data exchange, CGIAR SINGER (2009)
Germplasm data exchange, CGIAR SINGER (2009)Germplasm data exchange, CGIAR SINGER (2009)
Germplasm data exchange, CGIAR SINGER (2009)Dag Endresen
 
IASSIST identifiers By Joan Starr
IASSIST identifiers By Joan StarrIASSIST identifiers By Joan Starr
IASSIST identifiers By Joan StarrCarly Strasser
 
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...Menzo Windhouwer
 
GBIF-Norway status for the 6th European GBIF nodes meeting April 2014
GBIF-Norway status for the 6th European GBIF nodes meeting April 2014GBIF-Norway status for the 6th European GBIF nodes meeting April 2014
GBIF-Norway status for the 6th European GBIF nodes meeting April 2014Dag Endresen
 
European agrobiodioversity, ECPGR network meeting on EURISCO, Central Crop Da...
European agrobiodioversity, ECPGR network meeting on EURISCO, Central Crop Da...European agrobiodioversity, ECPGR network meeting on EURISCO, Central Crop Da...
European agrobiodioversity, ECPGR network meeting on EURISCO, Central Crop Da...Dag Endresen
 
The biodiversity informatics landscape: a systematics perspective
The biodiversity informatics landscape: a systematics perspectiveThe biodiversity informatics landscape: a systematics perspective
The biodiversity informatics landscape: a systematics perspectiveVince Smith
 
TDWG at the University of Tasmania
TDWG at the University of TasmaniaTDWG at the University of Tasmania
TDWG at the University of Tasmanialeebel
 
GBIF registry (GBRDS), at European Nodes meeting in Alicante, Spain (10 March...
GBIF registry (GBRDS), at European Nodes meeting in Alicante, Spain (10 March...GBIF registry (GBRDS), at European Nodes meeting in Alicante, Spain (10 March...
GBIF registry (GBRDS), at European Nodes meeting in Alicante, Spain (10 March...Dag Endresen
 
BHL hardware architecture - storage and clusters
BHL hardware architecture - storage and clustersBHL hardware architecture - storage and clusters
BHL hardware architecture - storage and clustersPhil Cryer
 
Event core and new datatypes in GBIF - 10th European GBIF Nodes Meeting in Ta...
Event core and new datatypes in GBIF - 10th European GBIF Nodes Meeting in Ta...Event core and new datatypes in GBIF - 10th European GBIF Nodes Meeting in Ta...
Event core and new datatypes in GBIF - 10th European GBIF Nodes Meeting in Ta...Dag Endresen
 
EURISCO demo installations of IPT, at GBIF EU Nodes meeting in Alicante (11 M...
EURISCO demo installations of IPT, at GBIF EU Nodes meeting in Alicante (11 M...EURISCO demo installations of IPT, at GBIF EU Nodes meeting in Alicante (11 M...
EURISCO demo installations of IPT, at GBIF EU Nodes meeting in Alicante (11 M...Dag Endresen
 
Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"GigaScience, BGI Hong Kong
 
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data Handling
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data HandlingScott Edmunds: GigaScience - Big-Data, Data Citation and Future Data Handling
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data HandlingGigaScience, BGI Hong Kong
 
Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"GigaScience, BGI Hong Kong
 
Contributing to the Smart City Through Linked Library Data
Contributing to the Smart City Through Linked Library DataContributing to the Smart City Through Linked Library Data
Contributing to the Smart City Through Linked Library DataMarcia Zeng
 

What's hot (20)

Hypatia for dlf 2011
Hypatia for dlf 2011Hypatia for dlf 2011
Hypatia for dlf 2011
 
The ARK Identifier Scheme at Ten Years Old
The ARK Identifier Scheme at Ten Years OldThe ARK Identifier Scheme at Ten Years Old
The ARK Identifier Scheme at Ten Years Old
 
Triplifier talk
Triplifier talkTriplifier talk
Triplifier talk
 
Germplasm data exchange, CGIAR SINGER (2009)
Germplasm data exchange, CGIAR SINGER (2009)Germplasm data exchange, CGIAR SINGER (2009)
Germplasm data exchange, CGIAR SINGER (2009)
 
IASSIST identifiers By Joan Starr
IASSIST identifiers By Joan StarrIASSIST identifiers By Joan Starr
IASSIST identifiers By Joan Starr
 
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...
Collaboratively Defining Widely Accepted Linguistic Data Categories in the IS...
 
GBIF-Norway status for the 6th European GBIF nodes meeting April 2014
GBIF-Norway status for the 6th European GBIF nodes meeting April 2014GBIF-Norway status for the 6th European GBIF nodes meeting April 2014
GBIF-Norway status for the 6th European GBIF nodes meeting April 2014
 
European agrobiodioversity, ECPGR network meeting on EURISCO, Central Crop Da...
European agrobiodioversity, ECPGR network meeting on EURISCO, Central Crop Da...European agrobiodioversity, ECPGR network meeting on EURISCO, Central Crop Da...
European agrobiodioversity, ECPGR network meeting on EURISCO, Central Crop Da...
 
The biodiversity informatics landscape: a systematics perspective
The biodiversity informatics landscape: a systematics perspectiveThe biodiversity informatics landscape: a systematics perspective
The biodiversity informatics landscape: a systematics perspective
 
TDWG at the University of Tasmania
TDWG at the University of TasmaniaTDWG at the University of Tasmania
TDWG at the University of Tasmania
 
GBIF registry (GBRDS), at European Nodes meeting in Alicante, Spain (10 March...
GBIF registry (GBRDS), at European Nodes meeting in Alicante, Spain (10 March...GBIF registry (GBRDS), at European Nodes meeting in Alicante, Spain (10 March...
GBIF registry (GBRDS), at European Nodes meeting in Alicante, Spain (10 March...
 
BHL hardware architecture - storage and clusters
BHL hardware architecture - storage and clustersBHL hardware architecture - storage and clusters
BHL hardware architecture - storage and clusters
 
NISO Webinar: Metadata for Preservation: A Digital Object's Best Friend
NISO Webinar: Metadata for Preservation: A Digital Object's Best Friend NISO Webinar: Metadata for Preservation: A Digital Object's Best Friend
NISO Webinar: Metadata for Preservation: A Digital Object's Best Friend
 
Event core and new datatypes in GBIF - 10th European GBIF Nodes Meeting in Ta...
Event core and new datatypes in GBIF - 10th European GBIF Nodes Meeting in Ta...Event core and new datatypes in GBIF - 10th European GBIF Nodes Meeting in Ta...
Event core and new datatypes in GBIF - 10th European GBIF Nodes Meeting in Ta...
 
EURISCO demo installations of IPT, at GBIF EU Nodes meeting in Alicante (11 M...
EURISCO demo installations of IPT, at GBIF EU Nodes meeting in Alicante (11 M...EURISCO demo installations of IPT, at GBIF EU Nodes meeting in Alicante (11 M...
EURISCO demo installations of IPT, at GBIF EU Nodes meeting in Alicante (11 M...
 
Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"
 
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data Handling
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data HandlingScott Edmunds: GigaScience - Big-Data, Data Citation and Future Data Handling
Scott Edmunds: GigaScience - Big-Data, Data Citation and Future Data Handling
 
Spark 2013-04-17
Spark 2013-04-17Spark 2013-04-17
Spark 2013-04-17
 
Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"Scott Edmunds: Data Dissemination in the era of "Big-Data"
Scott Edmunds: Data Dissemination in the era of "Big-Data"
 
Contributing to the Smart City Through Linked Library Data
Contributing to the Smart City Through Linked Library DataContributing to the Smart City Through Linked Library Data
Contributing to the Smart City Through Linked Library Data
 

Similar to EZID: Easy Persistent Identifiers and Data Citation

RDAP13 John Kunze: The Data Management Ecosystem
RDAP13 John Kunze: The Data Management EcosystemRDAP13 John Kunze: The Data Management Ecosystem
RDAP13 John Kunze: The Data Management EcosystemASIS&T
 
The Data Management Ecosystem
The Data Management EcosystemThe Data Management Ecosystem
The Data Management EcosystemJohn Kunze
 
IASSIT Kansa Presentation
IASSIT Kansa PresentationIASSIT Kansa Presentation
IASSIT Kansa Presentationekansa
 
DataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRefDataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRefCrossref
 
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...aceas13tern
 
Open Context and Publishing to the Web of Data: Eric Kansa's LAWDI Presentation
Open Context and Publishing to the Web of Data: Eric Kansa's LAWDI PresentationOpen Context and Publishing to the Web of Data: Eric Kansa's LAWDI Presentation
Open Context and Publishing to the Web of Data: Eric Kansa's LAWDI Presentationekansa
 
Toward universal information access on the digital object cloud
Toward universal information access on the digital object cloudToward universal information access on the digital object cloud
Toward universal information access on the digital object cloudNational Institute of Informatics
 
Managing provenance in the Social Sciences: the Data Documentation Initiative...
Managing provenance in the Social Sciences: the Data Documentation Initiative...Managing provenance in the Social Sciences: the Data Documentation Initiative...
Managing provenance in the Social Sciences: the Data Documentation Initiative...ARDC
 
Metadata as Linked Data for Research Data Repositories
Metadata as Linked Data for Research Data RepositoriesMetadata as Linked Data for Research Data Repositories
Metadata as Linked Data for Research Data Repositoriesandrea huang
 
Supporting Data-Rich Research on Many Fronts
Supporting Data-Rich Research on Many FrontsSupporting Data-Rich Research on Many Fronts
Supporting Data-Rich Research on Many FrontsJohn Kunze
 
Rebecca Grant - DH research data: identification and challenges (DH2016)
Rebecca Grant - DH research data: identification and challenges (DH2016)Rebecca Grant - DH research data: identification and challenges (DH2016)
Rebecca Grant - DH research data: identification and challenges (DH2016)dri_ireland
 
Rbms 2011 edwards
Rbms 2011 edwardsRbms 2011 edwards
Rbms 2011 edwardsglynnedw
 
RBMS 2011 edwards
RBMS 2011 edwardsRBMS 2011 edwards
RBMS 2011 edwardsglynnedw
 
RBMS 2011_Edwards
RBMS 2011_EdwardsRBMS 2011_Edwards
RBMS 2011_Edwardsglynnedw
 

Similar to EZID: Easy Persistent Identifiers and Data Citation (20)

Dataset Metadata, Tools and Approaches for Access and Preservation
Dataset Metadata, Tools and Approaches for Access and PreservationDataset Metadata, Tools and Approaches for Access and Preservation
Dataset Metadata, Tools and Approaches for Access and Preservation
 
RDAP13 John Kunze: The Data Management Ecosystem
RDAP13 John Kunze: The Data Management EcosystemRDAP13 John Kunze: The Data Management Ecosystem
RDAP13 John Kunze: The Data Management Ecosystem
 
The Data Management Ecosystem
The Data Management EcosystemThe Data Management Ecosystem
The Data Management Ecosystem
 
IASSIT Kansa Presentation
IASSIT Kansa PresentationIASSIT Kansa Presentation
IASSIT Kansa Presentation
 
DataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRefDataCite: the Perfect Complement to CrossRef
DataCite: the Perfect Complement to CrossRef
 
Open Science and Identifiers
Open Science and IdentifiersOpen Science and Identifiers
Open Science and Identifiers
 
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...
SPatially Explicit Data Discovery, Extraction and Evaluation Services (SPEDDE...
 
NISO Forum, Denver, Sept. 24, 2012: EZID: Easy dataset identification & manag...
NISO Forum, Denver, Sept. 24, 2012: EZID: Easy dataset identification & manag...NISO Forum, Denver, Sept. 24, 2012: EZID: Easy dataset identification & manag...
NISO Forum, Denver, Sept. 24, 2012: EZID: Easy dataset identification & manag...
 
Open Context and Publishing to the Web of Data: Eric Kansa's LAWDI Presentation
Open Context and Publishing to the Web of Data: Eric Kansa's LAWDI PresentationOpen Context and Publishing to the Web of Data: Eric Kansa's LAWDI Presentation
Open Context and Publishing to the Web of Data: Eric Kansa's LAWDI Presentation
 
Toward universal information access on the digital object cloud
Toward universal information access on the digital object cloudToward universal information access on the digital object cloud
Toward universal information access on the digital object cloud
 
Researh data management
Researh data managementResearh data management
Researh data management
 
Managing provenance in the Social Sciences: the Data Documentation Initiative...
Managing provenance in the Social Sciences: the Data Documentation Initiative...Managing provenance in the Social Sciences: the Data Documentation Initiative...
Managing provenance in the Social Sciences: the Data Documentation Initiative...
 
Libraries and Data Management
Libraries and Data ManagementLibraries and Data Management
Libraries and Data Management
 
The future of the DCC
The future of the DCCThe future of the DCC
The future of the DCC
 
Metadata as Linked Data for Research Data Repositories
Metadata as Linked Data for Research Data RepositoriesMetadata as Linked Data for Research Data Repositories
Metadata as Linked Data for Research Data Repositories
 
Supporting Data-Rich Research on Many Fronts
Supporting Data-Rich Research on Many FrontsSupporting Data-Rich Research on Many Fronts
Supporting Data-Rich Research on Many Fronts
 
Rebecca Grant - DH research data: identification and challenges (DH2016)
Rebecca Grant - DH research data: identification and challenges (DH2016)Rebecca Grant - DH research data: identification and challenges (DH2016)
Rebecca Grant - DH research data: identification and challenges (DH2016)
 
Rbms 2011 edwards
Rbms 2011 edwardsRbms 2011 edwards
Rbms 2011 edwards
 
RBMS 2011 edwards
RBMS 2011 edwardsRBMS 2011 edwards
RBMS 2011 edwards
 
RBMS 2011_Edwards
RBMS 2011_EdwardsRBMS 2011_Edwards
RBMS 2011_Edwards
 

More from University of California Curation Center

ETDs: Electronic Thesis and Dissertation Service at the University of California
ETDs: Electronic Thesis and Dissertation Service at the University of CaliforniaETDs: Electronic Thesis and Dissertation Service at the University of California
ETDs: Electronic Thesis and Dissertation Service at the University of CaliforniaUniversity of California Curation Center
 
The UC Curation Center (UC3): Developing Tools & Services for Managing Research
The UC Curation Center (UC3): Developing Tools & Services for Managing ResearchThe UC Curation Center (UC3): Developing Tools & Services for Managing Research
The UC Curation Center (UC3): Developing Tools & Services for Managing ResearchUniversity of California Curation Center
 

More from University of California Curation Center (20)

ETDs: Electronic Thesis and Dissertation Service at the University of California
ETDs: Electronic Thesis and Dissertation Service at the University of CaliforniaETDs: Electronic Thesis and Dissertation Service at the University of California
ETDs: Electronic Thesis and Dissertation Service at the University of California
 
Dash UCCSC 2016
Dash UCCSC 2016Dash UCCSC 2016
Dash UCCSC 2016
 
Uc3 ucacc-2015-11-16
Uc3 ucacc-2015-11-16Uc3 ucacc-2015-11-16
Uc3 ucacc-2015-11-16
 
Dash: data sharing made easy
Dash: data sharing made easyDash: data sharing made easy
Dash: data sharing made easy
 
CDL research lifecycle
CDL research lifecycleCDL research lifecycle
CDL research lifecycle
 
Ucmp 20150407
Ucmp 20150407Ucmp 20150407
Ucmp 20150407
 
What does "data publication" mean to researchers?
What does "data publication" mean to researchers?What does "data publication" mean to researchers?
What does "data publication" mean to researchers?
 
Researcher perspectives on publication and peer review of data.
Researcher perspectives on publication and peer review of data.Researcher perspectives on publication and peer review of data.
Researcher perspectives on publication and peer review of data.
 
Enhancing DMPTool: Further Streamlineing Data Mangement Planning Process
Enhancing DMPTool: Further Streamlineing Data Mangement Planning ProcessEnhancing DMPTool: Further Streamlineing Data Mangement Planning Process
Enhancing DMPTool: Further Streamlineing Data Mangement Planning Process
 
DataShare: Empowering Researcher Data Curation
DataShare: Empowering Researcher Data CurationDataShare: Empowering Researcher Data Curation
DataShare: Empowering Researcher Data Curation
 
Future of web archiving
Future of web archivingFuture of web archiving
Future of web archiving
 
Data preservation 101
Data preservation 101Data preservation 101
Data preservation 101
 
Creating superior data management plans with the DMPTool
Creating superior data management plans with the DMPToolCreating superior data management plans with the DMPTool
Creating superior data management plans with the DMPTool
 
ESA Ignite talk on the DMPTool by S Abrams
ESA Ignite talk on the DMPTool by S AbramsESA Ignite talk on the DMPTool by S Abrams
ESA Ignite talk on the DMPTool by S Abrams
 
DMPTool2 Webinar #1 for Administrators
DMPTool2 Webinar #1 for AdministratorsDMPTool2 Webinar #1 for Administrators
DMPTool2 Webinar #1 for Administrators
 
DMPTool2 Administrator Webinar #2
DMPTool2 Administrator Webinar #2DMPTool2 Administrator Webinar #2
DMPTool2 Administrator Webinar #2
 
DataShare for UC Campuses
DataShare for UC CampusesDataShare for UC Campuses
DataShare for UC Campuses
 
Helping librarians use the DMPTool as a centerpiece for data management
Helping librarians use the DMPTool as a centerpiece for data managementHelping librarians use the DMPTool as a centerpiece for data management
Helping librarians use the DMPTool as a centerpiece for data management
 
The UC Curation Center (UC3): Developing Tools & Services for Managing Research
The UC Curation Center (UC3): Developing Tools & Services for Managing ResearchThe UC Curation Center (UC3): Developing Tools & Services for Managing Research
The UC Curation Center (UC3): Developing Tools & Services for Managing Research
 
Dataset Metadata Publication Through EZID
Dataset Metadata Publication Through EZIDDataset Metadata Publication Through EZID
Dataset Metadata Publication Through EZID
 

Recently uploaded

Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationSlibray Presentation
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfngoud9212
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Wonjun Hwang
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr LapshynFwdays
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDGMarianaLemus7
 
Science&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfScience&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfjimielynbastida
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 

Recently uploaded (20)

Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Connect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck PresentationConnect Wave/ connectwave Pitch Deck Presentation
Connect Wave/ connectwave Pitch Deck Presentation
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024
 
Bluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdfBluetooth Controlled Car with Arduino.pdf
Bluetooth Controlled Car with Arduino.pdf
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
Pigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food ManufacturingPigging Solutions in Pet Food Manufacturing
Pigging Solutions in Pet Food Manufacturing
 
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
Bun (KitWorks Team Study 노별마루 발표 2024.4.22)
 
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
"Federated learning: out of reach no matter how close",Oleksandr Lapshyn
 
APIForce Zurich 5 April Automation LPDG
APIForce Zurich 5 April  Automation LPDGAPIForce Zurich 5 April  Automation LPDG
APIForce Zurich 5 April Automation LPDG
 
Science&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfScience&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdf
 
Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
Pigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping ElbowsPigging Solutions Piggable Sweeping Elbows
Pigging Solutions Piggable Sweeping Elbows
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 

EZID: Easy Persistent Identifiers and Data Citation

  • 1. EZID: Easy Persistent Identifiers and Data Citation 31 October 2011 John Kunze and Joan Starr California Digital Library
  • 2. EZID: Easy Persistent Identifiers & Data Citation Introduction Citation, DataCite and EZID Who? Why? What? EZID’s next steps: tech talk New stuff, use cases, feedback Feedback
  • 4.
  • 5. The research data problem an article about data, but no data
  • 6. What citation offers • To aid scientific reproducibility • To provide fair credit • To ensure scientific transparency and reasonable accountability • To aid in tracking the impact, including – helping data authors verify use of their data and – helping future data users identify how others have used the data
  • 7.
  • 8. DataCite German National Library of Economics (ZBW) Canada Institute for Scientific and Technical Information German National Library of Science and Technology (TIB) (CISTI) German National Library of Medicine (ZB MED) Technical Information Center of Denmark GESIS - Leibniz Institute for the Social Sciences, Germany Institute for Scientific & Technical Information (INIST- Australian National Data Service (ANDS) CNRS), France ETH Zurich, Switzerland TU Delft Library, The Netherlands The Swedish National Data Service (SNDS) The British Library , UK California Digital Library (CDL), USA Office of Scientific & Technical Information (OSTI), USA Purdue University Library
  • 9. EZID: long-term identifiers made easy take control of the management and distribution of your research, share and get credit for it, and build your reputation through its collection and documentation Primary Functions 1. Create persistent identifiers 2. Manage identifiers over time 3. Manage associated metadata over time
  • 11. Current EZID Clients A partial list UC Berkeley Library (on behalf of the UC Berkeley The Digital Archaeological Record (tDAR) campus) Sponsored accounts: Open Context Dryad Digital Repository CRCNS.org UC San Diego Library (on behalf of the UC San Diego Fred Hutchinson Cancer Research Center campus) American Astronomical Society (AAS) LabArchives Centre national de documentation National Center for Atmospheric Research (NCAR) pédagogique (CNDP) Cornell Institute for Social & Economic USGS/Earth Sciences Data Clearinghouse Research (formerly National Biological Info. Infrastructure)
  • 12. New features in trial or active development • Service replicas: manager and resolver • URN (Uniform Resource Name) support (urn:uuid:) • Suffix pass-thru: do NT and get N/ST/S for free • Tombstone/incubation/... surrogate pages, id status (reserved or public), and multiple targets • Identifier status: reserved or public • Content negotiation and inflections: ? ?? / . • ARK community and governance, eg, registries
  • 13. Service replicas • EZID is an id manager that populates N2T – It tolerates down time – Other id manager services might one day populate N2T • N2T (Name-to-Thing) is an id resolver that ... – It is very intolerant of down time, since it services all access requests for locations and metadata – N2T was designed with global replication in mind
  • 14. URN support • N2T and EZID are agnostic about kinds of things, names, and metadata – Digital, physical, abstract, living, fictional, groups, etc. – Any metadata & known profiles (DataCite, Dublin Kernel) – ARK, DOI, URN, Handle, IVOA, LSID, PMID, etc., requiring namespace “write” permission, eg, via DataCite • In test: Uniform Resource Names (URNs) – urn:uuid namespace
  • 15. Under the hood keysmithing terms: bows, shoulders, blades, tips, covers
  • 16. Suffix pass-thru: NT gets N/ST/S for free Idea: if name N points to target T, then requests for N extended by any suffix N/S can take you to T/S • For dataset doi:10.5072/Big4 with 10,000 nameable components, – Register and manage 10,001 names or 1 name? – Eg, http://x.y.z/foo/Big4/db/table/cell/45-8.txt could be reached with doi:1.5072/Big4/table/cell/45-8.txt • In test with ARKs. Conflict with other resolvers?
  • 17. Tombstone and other surrogate pages Tombstone, incubation, and other surrogate pages (probation?) auto-generated from metadata, eg, http://n2t.net/ezid/tombstone/id/ark:/20775/bb3243444z
  • 18. Reserved identifiers and multiple targets • Some ids must be created and managed (reserved) before going public, eg, for manuscript preparation • In test: infrastructure for multiple targets and multiple instances of any metadata element • What should user experience be for multiple targets? – Present a menu of targets (burden of choice)? – One target chosen for them (burden of inflexibility)?
  • 19. Identifier (ARK) inflections: ? ?? / . • Inflect: change endings w.o. creating new words – Terminal ? means “I want metadata”, which is similar to linked data content negotiation (also in EZID test) – Terminal ?? means “I also want support metadata” – Drawing board: / could mean “I want a landing page” and . could mean “I want the usual computable thing” • Allow inflections beyond ARKs to DOIs/URNs?
  • 20. Example: http://n2t.net/ark:/13030/qt0349g1rh? Renninger, Heidi; Phillips, Nathan; Hodel, Donald. “Comparative hydraulic and anatomic properties in palm trees (Washingtonia robusta) of varying heights”. 2009-04-29. ark:/13030/qt0349g1rh HTML content with embedded comments in ANVL/ERC and RDF erc: who: Renninger, Heidi,; Phillips, Nathan,; Hodel, Donald, what: Comparative hydraulic and anatomic properties in palm trees (Washingtonia robusta) of varying heights when: 2009-04-29 where: ark:/13030/qt0349g1rh
  • 21. ARK community and governance • ARKs soon to have a mailing list • Topics: governance, community, standardization • Registry maintenance: shoulders and NAANs • N2T consortium with alternative EZID-like services
  • 22. For information • http://www.cdlib.org/services/uc3/ezid • Understanding ids and conventions (shoulders, etc) • Choosing the right identifier (ARK vs DOI? ARK and DOI?) • EZID FAQs and N2T vision • EZID Service Guidelines • EZID Handout/brochure • EZID webinars & slides Contact Joan Starr at uc3@ucop.edu
  • 23. For (even) more information EZID http://n2t.net/ezid/ http://www.cdlib.org/services/uc3/ezid/ UC Curation Center http://www.cdlib.org/uc3 uc3@ucop.edu UC3 webinar series http://www.cdlib.org/uc3/uc3webinars.html UC3/CDL Stephen Abrams David Loy Lisa Colvin Mark Reyes Patricia Cruse Abhishek Salve Scott Fisher Tracy Seneca Erik Hetzner Carly Strasser Greg Janée Joan Starr John Kunze Marisa Strong Margaret Low Perry Willett
  • 24. Questions? by Horia Varlan http://www.flickr.com/photos/horiavarlan/4273168957/in/photostream/

Editor's Notes

  1. CDL:Serving the 10 UC campuses226,000 students 134,000 faculty and staffWorking collaborativelylibrariesdata centersmuseums, archivesfaculty and researchersCDL has historically provided strategic, integrated technical and program services in a broad portfolio, including:Groundbreaking licensing agreementsUnion bibliographic servicesData curation & preservation toolsOpen access publishing servicesCDL: http://www.cdlib.org/
  2. UC3:The UC Curation Center is creative partnership between the CDL, the ten UC campuses, and peer institutions in the community.An evolving community of shared concern and practice; bringing together diverse experience, expertise, and resources; providing robust curation solutions.
  3. helping data authors verify use of their data andhelping future data users identify how others have used the data.Adapted from ESIPhttp://wiki.esipfed.org/index.php/Interagency_Data_Stewardship/Citations/provider_guidelinesEarth Science Information Partners have identified 6 important reasons for data citation.
  4. In recognition of this, DataCite was formed in 2009 by 10 Libraries and Research Centers.
  5. The number has now grown to 15. In addition there are 3 associate members, including the Korea Institute of Science and Technology Information, so there is a presence in Asia.Mission: “"Helping you find, access, and reuse data"Advocacy, citation
  6. CDL is a founding member of DataCite, and our application for offering DataCite DOIs as well as other identifiers is EZID.
  7. So, this is our User Interface. EZID also has a machine-to-machine interface, an API, and a link to the documentation is here.If you’d like to try EZID, simply click on the help tab [CLICK] here.
  8. Academic, non-profit, government, and commercial
  9. Reiterate the testing modelUC3EZID Website