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Publishing and Citing – 
and the role of persistent identifiers 
The impact of ODIN 
Sünje Dallmeier-Tiessen 
Amsterdam, September 2014
Publishing
Good news 
Since the beginning of ODIN data publishing developed: 
• New data repositories, data journals, data articles and 
data reviews emerge 
• Many initiatives tackling the article-data link 
• Standards for data publishing emerge 
• Principles for data citation are endorsed 
Roles and responsibilities 
of persistent identifiers are 
central 
It is interesting to see the DOI 
development: 1.5 years ago we 
could not find a DOI for our not 
so conventional dataset, now 
we have several offers
BUT THERE ARE CHALLENGES 
AHEAD OF US: 
A concrete example from a HEP researcher 
Who benefited from the ODIN Project
A collaborative discovery: Higgs
Research data on our community plattform 
www.inspirehep.net
Counting reuse: citations to data 
www.inspirehep.net
TCraocuknintingg r ereuussee :> c witahtieornes isto m dayt aimpact? 
www.inspirehep.net
Citation in the actual preprint 
arXiv: 1311.1113
Challenges 
• Difficult to track what is out there across disciplinary 
boundaries 
• Researchers miss out what has been done with their 
objects 
• Others cannot discover what has been shared easily 
• Difficult to incentivize Open Science practices 
 We need better discoverability tools for data, i.e. 
trained for PIDs 
 We need to track research objects and their reuse
Research objects: Citable code snippets
More and more examples
Who gets the credit for sharing data?
Kyle’s profile on INSPIRE
Using author IDs for attributing credit
Excerpt from publication list on
Excerpt from publication list on 
ODIN – result: 
Push your publications from 
community portal to ORCID 
Display your “external” publications 
in community portal
Challenges 
• No way to attribute a 
research object to a researcher 
unambiguously in most communities 
• Need to make data publishing and data citation count 
• We can revise assessment and metrics if we better 
integrate cross disciplinary services 
However, we need 
• better interoperability with community IDs 
• more ORCID integrations in funders/CRIS systems 
• support for integrators to overcome technical or admin 
hurdles, enable 3rd party services to build upon 
• train users/researchers how to do data citation…
Persistent Identifier for Open Access and 
Open Data 
To make Open Science “a reality” it needs the tools 
to incentivize it: 
Make data a “first class citizen” 
• As a citable object 
• Attributable to the right person 
Considerations must include the new diversity of the 
data publishing landscape
Contact: 
sunje.dallmeier-tiessen@cern.ch

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ODIN Final Event - Publishing and citing, and the role of persistent identifiers

  • 1. Publishing and Citing – and the role of persistent identifiers The impact of ODIN Sünje Dallmeier-Tiessen Amsterdam, September 2014
  • 3. Good news Since the beginning of ODIN data publishing developed: • New data repositories, data journals, data articles and data reviews emerge • Many initiatives tackling the article-data link • Standards for data publishing emerge • Principles for data citation are endorsed Roles and responsibilities of persistent identifiers are central It is interesting to see the DOI development: 1.5 years ago we could not find a DOI for our not so conventional dataset, now we have several offers
  • 4. BUT THERE ARE CHALLENGES AHEAD OF US: A concrete example from a HEP researcher Who benefited from the ODIN Project
  • 6. Research data on our community plattform www.inspirehep.net
  • 7. Counting reuse: citations to data www.inspirehep.net
  • 8. TCraocuknintingg r ereuussee :> c witahtieornes isto m dayt aimpact? www.inspirehep.net
  • 9. Citation in the actual preprint arXiv: 1311.1113
  • 10. Challenges • Difficult to track what is out there across disciplinary boundaries • Researchers miss out what has been done with their objects • Others cannot discover what has been shared easily • Difficult to incentivize Open Science practices  We need better discoverability tools for data, i.e. trained for PIDs  We need to track research objects and their reuse
  • 11. Research objects: Citable code snippets
  • 12. More and more examples
  • 13. Who gets the credit for sharing data?
  • 15. Using author IDs for attributing credit
  • 17. Excerpt from publication list on ODIN – result: Push your publications from community portal to ORCID Display your “external” publications in community portal
  • 18. Challenges • No way to attribute a research object to a researcher unambiguously in most communities • Need to make data publishing and data citation count • We can revise assessment and metrics if we better integrate cross disciplinary services However, we need • better interoperability with community IDs • more ORCID integrations in funders/CRIS systems • support for integrators to overcome technical or admin hurdles, enable 3rd party services to build upon • train users/researchers how to do data citation…
  • 19. Persistent Identifier for Open Access and Open Data To make Open Science “a reality” it needs the tools to incentivize it: Make data a “first class citizen” • As a citable object • Attributable to the right person Considerations must include the new diversity of the data publishing landscape