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Introduction to DataCite and its Infrastructure
Jan Brase
Sebastian Peters
Frauke Ziedorn
2014-04-23
TIB begins
to issue
DOI
names
for
datasets
Paris Memo-
randum
DataCite Asso-
ciation
founded in
London
7 members
0503
DFG funded
project
with
German
WDCs
History
09 14
22 members
9 affiliate member
Over 3,2
million DOI
names
Statistic page
Content
negotiation
Robust technical
infrastructure
STM-joint statement
Summer meeting
Hannover 2010
Berkeley 2011
Copenhagen 2012
Washington 2013
Nancy 2014
International DOI
Foundation
DataCite
Member
Institution
Data CentreData CentreData Centre
Member
Institution
Data CentreData CentreData Centre
… Works with
Managing Agent
(TIB)
Member
Associate
Stakeholder
DataCite structure
Technische Informationsbibliothek (TIB)
Canada Institute for Scientific and Technical Information (CISTI),
California Digital Library, USA
Purdue University, USA
Office of Scientific and Technical
Information (OSTI), USA
Library of TU Delft,
The Netherlands
Technical Information
Center of Denmark
The British Library
ZB Med, Germany
ZBW, Germany
Gesis, Germany
Library of ETH Zürich
L’Institut de l’Information Scientifique
et Technique (INIST), France
Swedish National Data Service (SND)
Australian National Data Service (ANDS)
Conferenza dei Rettori delle Università Italiane (CRUI)
National Research Council of Thailand (NRCT)
The Hungarian Academy of Sciences
University of Tartu, Estonia
Japan Link Center (JaLC)
South African Environmental Observation Network (SAEON)
European Organisation for Nuclear Research (CERN)
DataCite members
Affiliated members:
Digital Curation Center (UK)
Microsoft Research
Interuniversity Consortium for
Political and Social Research (ICPSR)
Korea Institute of Science and
Technology Information (KISTI)
Bejiing Genomic Institute (BGI)
IEEE
Harvard University Library
World Data System (WDS)
GWDG
2012: STM, CrossRef and DataCite Joint Statement
1. To improve the availability and findability of research data, the signers encourage
authors of research papers to deposit researcher validated data in trustworthy
and reliable Data Archives.
2. The Signers encourage Data Archives to enable bi-directional linking between
datasets and publications by using established and community endorsed unique
persistent identifiers such as database accession codes and DOI's.
3. The Signers encourage publishers and data archives to make visible or increase
visibility of these links from publications to datasets and vice versa
•5
Example
The dataset:
Storz, D et al. (2009):
Planktic foraminiferal flux and faunal composition of sediment trap
L1_K276 in the northeastern Atlantic.
http://dx.doi.org/10.1594/PANGAEA.724325
Is supplement to the article:
Storz, David; Schulz, Hartmut; Waniek, Joanna J; Schulz-Bull, Detlef;
Kucera, Michal (2009): Seasonal and interannual variability of the
planktic foraminiferal flux in the vicinity of the Azores Current.
Deep-Sea Research Part I-Oceanographic Research Papers, 56(1),
107-124,
http://dx.doi.org/10.1016/j.dsr.2008.08.009
ODIN project
• ORCID and DataCite interoperability network. Funded under
FP7
http://www.odin-project.eu
• Claim your DataCite DOI with your ORCID profile:
http://datacite.labs.orcid-eu.org/
Cooperation
• MoU with ORCID
• Agreement with Re3Data and DataBib to include their service
in 2016
• MoU with RDA to become organisational affiliate
• Joint Declaration of Data Citation Principles
https://www.force11.org/datacitation
2014 Annual conference
DataCite Working Groups
Tech Team
tech {@} datacite.org
Business Practices
Metadata
Business Practices Working Group
• What we do
• Develop best business practices; articulate DataCite policy
• Who we are
• Members from France, Germany, Switzerland, UK, US, Canada
Interested in becoming a member?
karen.morgenroth {@} nrc-cnrc.gc.ca
Published 2012-10-01
Find it here:
http://www.datacite.org/sites/default/
files/Business_Models_Principles_v1.0.
pdf
Or with doi:10.5438/0007
Business Models Principles
Business Models Principles
• Information for allocation agencies
• Costs/fees schedules; prefixes; membership;
contracts/agreements
• Information for clients
• Commitment to persistent access; landing pages; syntax;
mandatory metadata requirement
• Definitions
• Data sets; data papers; grey literature
Data Quality Survey
WHY: Assess DataCite‘s role in ensuring data quality.
 11.-25. June 2013: Online survey within the DataCite community
•What constitutes data “quality”
• No consensus; ‘Data quality’ is an abstract phrase
•How might this quality be assessed
• Scientific context; intended use; disciplinary standards; expert
knowledge; data centres; peer review; metadata and documentation
• What do you see as DataCite’s role in ensuring or assessing quality?
• No direct role (Concept of “usurping” the role of scientific communities;
ensuring data centres/repositories have procedures; Do DOIs actually
indicate quality?); ensure metadata quality
52 responds
Outlook
• Create recommendations based on the responses to the survey
• Update the first version of the „Business Models Principles“
(definitions, granularity, landing pages, collaboration among the
members, etc)
• Get opinions from the DataCite community via Google Discussion
Group
• Support the DataCite Board in implementing the strategical plan
2013-2014
Metadata Working Group
What we do
• Create and update the Metadata Schema
• Communication with the community
Who we are
• 12 members
• 7 nations (USA, Canada, Germany, UK, Sweden,
Netherlands, France)
Interested in becoming a member?
joan.starr {@} ucop.edu
DataCite Metadata Schema
Mandatory Properties
• Identifier (with type attribute)
• Creator (with type and nameIdentifier attributes)
• Title (with optional type attribute)
• Publisher
• PublicationYear
Citation:
Creator (PublicationYear): Title. Publisher. Identifier
DataCite Metadata Schema
Optional and Recommended Properties:
• Subject (with scheme attribute)
• Contributor (with type and nameIdentifier attributes)
• Date (with type attribute)
• Language
• ResourceType (with description attribute)
• AlternateIdentifier (with type attribute)
• RelatedIdentifier (with type and relationType attributes)
• Size
• Format
• Version
• Rights
• Description (with type attribute)
• GeoLocation (with point, box, and place)
More Information on Metadata
• http://schema.datacite.org
Access to all versions of the DataCite metadata schema, with
documentation, schema definition, and examples.
• Documentation v3.0: doi:10.5438/0008
PDF file with documentation and explanations for the schema.
• Schema Definition v3.0: doi:10.5438/0009
XSD file that defines the format of the XML files.
• Google Discussion Group:
https://groups.google.com/forum/?hl=en&fromgroups#!forum/datacite-
metadata
DataCite Infrastructure
• Metadata Store (http://mds.datacite.org)
Metadata Store user interface for manual minting of DOIs.
• Test system (http://test.datacite.org)
DataCite‘s test system includes all services, like MDS, Search, Content
Negotiation etc.
• Need new prefixes? -> frauke.ziedorn {@} tib.uni-hannover.de
DataCite Services
• http://search.datacite.org
Search engine for all metadata stored by DataCite.
• http://stats.datacite.org
Statistics portal.
• http://test.datacite.org
DataCite‘s test system includes all services, like MDS, Search, Content
Negotiation etc.
Cooperations
• With CrossRef:
• http://crosscite.org/citeproc/
A Citation Formater which provides over 100 different
formats for citations.
• http://crosscite.org/cn/
With Content Negotiation it is possible to access
different media types of a registered object (machine-to-
machine only).
• With ORCID:
• http://datacite.labs.orcid-eu.org/
ODIN Project: Claim your research data in your ORCID
profile.
Thank you!

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Introduction to DataCite and its Infrastructure for new Members

  • 1. Introduction to DataCite and its Infrastructure Jan Brase Sebastian Peters Frauke Ziedorn 2014-04-23
  • 2. TIB begins to issue DOI names for datasets Paris Memo- randum DataCite Asso- ciation founded in London 7 members 0503 DFG funded project with German WDCs History 09 14 22 members 9 affiliate member Over 3,2 million DOI names Statistic page Content negotiation Robust technical infrastructure STM-joint statement Summer meeting Hannover 2010 Berkeley 2011 Copenhagen 2012 Washington 2013 Nancy 2014
  • 3. International DOI Foundation DataCite Member Institution Data CentreData CentreData Centre Member Institution Data CentreData CentreData Centre … Works with Managing Agent (TIB) Member Associate Stakeholder DataCite structure
  • 4. Technische Informationsbibliothek (TIB) Canada Institute for Scientific and Technical Information (CISTI), California Digital Library, USA Purdue University, USA Office of Scientific and Technical Information (OSTI), USA Library of TU Delft, The Netherlands Technical Information Center of Denmark The British Library ZB Med, Germany ZBW, Germany Gesis, Germany Library of ETH Zürich L’Institut de l’Information Scientifique et Technique (INIST), France Swedish National Data Service (SND) Australian National Data Service (ANDS) Conferenza dei Rettori delle Università Italiane (CRUI) National Research Council of Thailand (NRCT) The Hungarian Academy of Sciences University of Tartu, Estonia Japan Link Center (JaLC) South African Environmental Observation Network (SAEON) European Organisation for Nuclear Research (CERN) DataCite members Affiliated members: Digital Curation Center (UK) Microsoft Research Interuniversity Consortium for Political and Social Research (ICPSR) Korea Institute of Science and Technology Information (KISTI) Bejiing Genomic Institute (BGI) IEEE Harvard University Library World Data System (WDS) GWDG
  • 5. 2012: STM, CrossRef and DataCite Joint Statement 1. To improve the availability and findability of research data, the signers encourage authors of research papers to deposit researcher validated data in trustworthy and reliable Data Archives. 2. The Signers encourage Data Archives to enable bi-directional linking between datasets and publications by using established and community endorsed unique persistent identifiers such as database accession codes and DOI's. 3. The Signers encourage publishers and data archives to make visible or increase visibility of these links from publications to datasets and vice versa •5
  • 6. Example The dataset: Storz, D et al. (2009): Planktic foraminiferal flux and faunal composition of sediment trap L1_K276 in the northeastern Atlantic. http://dx.doi.org/10.1594/PANGAEA.724325 Is supplement to the article: Storz, David; Schulz, Hartmut; Waniek, Joanna J; Schulz-Bull, Detlef; Kucera, Michal (2009): Seasonal and interannual variability of the planktic foraminiferal flux in the vicinity of the Azores Current. Deep-Sea Research Part I-Oceanographic Research Papers, 56(1), 107-124, http://dx.doi.org/10.1016/j.dsr.2008.08.009
  • 7. ODIN project • ORCID and DataCite interoperability network. Funded under FP7 http://www.odin-project.eu • Claim your DataCite DOI with your ORCID profile: http://datacite.labs.orcid-eu.org/
  • 8. Cooperation • MoU with ORCID • Agreement with Re3Data and DataBib to include their service in 2016 • MoU with RDA to become organisational affiliate • Joint Declaration of Data Citation Principles https://www.force11.org/datacitation
  • 10. DataCite Working Groups Tech Team tech {@} datacite.org Business Practices Metadata
  • 11. Business Practices Working Group • What we do • Develop best business practices; articulate DataCite policy • Who we are • Members from France, Germany, Switzerland, UK, US, Canada Interested in becoming a member? karen.morgenroth {@} nrc-cnrc.gc.ca
  • 12. Published 2012-10-01 Find it here: http://www.datacite.org/sites/default/ files/Business_Models_Principles_v1.0. pdf Or with doi:10.5438/0007 Business Models Principles
  • 13. Business Models Principles • Information for allocation agencies • Costs/fees schedules; prefixes; membership; contracts/agreements • Information for clients • Commitment to persistent access; landing pages; syntax; mandatory metadata requirement • Definitions • Data sets; data papers; grey literature
  • 14. Data Quality Survey WHY: Assess DataCite‘s role in ensuring data quality.  11.-25. June 2013: Online survey within the DataCite community •What constitutes data “quality” • No consensus; ‘Data quality’ is an abstract phrase •How might this quality be assessed • Scientific context; intended use; disciplinary standards; expert knowledge; data centres; peer review; metadata and documentation • What do you see as DataCite’s role in ensuring or assessing quality? • No direct role (Concept of “usurping” the role of scientific communities; ensuring data centres/repositories have procedures; Do DOIs actually indicate quality?); ensure metadata quality 52 responds
  • 15. Outlook • Create recommendations based on the responses to the survey • Update the first version of the „Business Models Principles“ (definitions, granularity, landing pages, collaboration among the members, etc) • Get opinions from the DataCite community via Google Discussion Group • Support the DataCite Board in implementing the strategical plan 2013-2014
  • 16. Metadata Working Group What we do • Create and update the Metadata Schema • Communication with the community Who we are • 12 members • 7 nations (USA, Canada, Germany, UK, Sweden, Netherlands, France) Interested in becoming a member? joan.starr {@} ucop.edu
  • 17. DataCite Metadata Schema Mandatory Properties • Identifier (with type attribute) • Creator (with type and nameIdentifier attributes) • Title (with optional type attribute) • Publisher • PublicationYear Citation: Creator (PublicationYear): Title. Publisher. Identifier
  • 18. DataCite Metadata Schema Optional and Recommended Properties: • Subject (with scheme attribute) • Contributor (with type and nameIdentifier attributes) • Date (with type attribute) • Language • ResourceType (with description attribute) • AlternateIdentifier (with type attribute) • RelatedIdentifier (with type and relationType attributes) • Size • Format • Version • Rights • Description (with type attribute) • GeoLocation (with point, box, and place)
  • 19. More Information on Metadata • http://schema.datacite.org Access to all versions of the DataCite metadata schema, with documentation, schema definition, and examples. • Documentation v3.0: doi:10.5438/0008 PDF file with documentation and explanations for the schema. • Schema Definition v3.0: doi:10.5438/0009 XSD file that defines the format of the XML files. • Google Discussion Group: https://groups.google.com/forum/?hl=en&fromgroups#!forum/datacite- metadata
  • 20. DataCite Infrastructure • Metadata Store (http://mds.datacite.org) Metadata Store user interface for manual minting of DOIs. • Test system (http://test.datacite.org) DataCite‘s test system includes all services, like MDS, Search, Content Negotiation etc. • Need new prefixes? -> frauke.ziedorn {@} tib.uni-hannover.de
  • 21. DataCite Services • http://search.datacite.org Search engine for all metadata stored by DataCite. • http://stats.datacite.org Statistics portal. • http://test.datacite.org DataCite‘s test system includes all services, like MDS, Search, Content Negotiation etc.
  • 22. Cooperations • With CrossRef: • http://crosscite.org/citeproc/ A Citation Formater which provides over 100 different formats for citations. • http://crosscite.org/cn/ With Content Negotiation it is possible to access different media types of a registered object (machine-to- machine only). • With ORCID: • http://datacite.labs.orcid-eu.org/ ODIN Project: Claim your research data in your ORCID profile.