ORCID and DataCite Interoperability Network (ODIN) 2012 Kickoff Meeting

1. Opportunities: Improve Interoperability
...from a library viewpoint
Lambert Heller
ORCID and DataCite Interoperability Network (ODIN) 2012 Kickoff Meeting
Berlin, 18.10.2012

2. Relevance ranking in academic search, ca. 2012
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3. Adding a social angel to relevance: Altmetrics
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4. Adding a social angel to relevance: Altmetrics
(Maybe) common sense:
• ALM = better than to
have only peer review
and citation counts
How do they compare?
• Peer review + citations =
done by a few experts
on research topic of
article in question.
• Bookmarks, Tweets,
Likes, usage data... =
broad, but diffuse.
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5. In 2017, bookmarks may be (simple) statements
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(from: HCLSIG/SWANSIOC/Actions/RhetoricalStructure)

6. In 2017, bookmarks may be (simple) statements
...and not just on journals articles,
but also
• blog postings
• shared research data
• additions to collaborative work
(e.g. wiki article, genome
annotation on Github)
• „nano publications“ (e.g.
scientific claims)
• ...
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(from: HCLSIG/SWANSIOC/Actions/RhetoricalStructure)

7. Identified authors = authors we know more about
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8. Identified authors = authors we know more about
Thanks to interoperable
identifiers, we gain
knowledge from different
sources:
• Institutional („research
information systems“),
• Personal („Facebook for
scientists“, cf. VIVO),
• Publishers, repositories (cf.
ORCID)
• Research libraries,
• Citation analysis
• etc.
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9. Identified authors = authors we know more about
Thanks to interoperable
identifiers, we gain
knowledge from different
sources:
• Institutional („research
information systems“), ...therefore can not only be
• Personal („Facebook for linked to their journals articles,
scientists“, cf. VIVO), but also to their
• Publishers, repositories (cf. • blog postings
ORCID) • shared research data
• Research libraries, • additions to collaborative work
• Citation analysis • „nano publications“
• etc. • ...
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10. book-
Identified authors = authorsrs we know more about
marke
Thanks to interoperable
identifiers, we gain
knowledge from different
sources:
• Institutional („research
information systems“), ...therefore can not only be
• Personal („Facebook for linked to their journals articles,
scientists“, cf. VIVO), but also to their
• Publishers, repositories (cf. • blog postings
ORCID) • shared research data
• Research libraries, • additions to collaborative work
• Citation analysis • „nano publications“
• etc. • ...
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11. Relevance ranking in academic search, ca. 2017?
Sort your results
• Relevance A: (Number of) positive
statements from researchers on topic
• Relevance B: (Number of) statements
from researchers on topic in total
• Relevance C: ...
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12. Relevance ranking in academic search, ca. 2017?
Sort your results
• Relevance A: (Number of) positive
statements from researchers on topic
• Relevance B: (Number of) statements
from researchers on topic in total
• Relevance C: ...
Enhance your search to
• Blog postings
• Nano publications
• ...
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13. Relevance ranking in academic search, ca. 2017?
Does anybody need
this?
• Cf. Rise of arXiv,
Sort your results
PLoS ONE... • Relevance A: (Number of) positive
• Priem/Hemminger: statements from researchers on topic
„Decoupling the • Relevance B: (Number of) statements
from researchers on topic in total
scholarly journal“ • Relevance C: ...
Enhance your search to
• Blog postings
• Nano publications
• ...

14. What identifiers do we need to make that happen?
Interoperable Identifiers for
• researchers
• any kind of scholarly objects (+ collaborative, dynamic objects)
• organizational structures of academia (beyond grant numbers)
• in some cases, even for things (e.g. telescopes)
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15. What identifiers do we need to make that happen?
Identifiers that can be used/enriched by
• their „owners“ – e .g. authors with their ORCID
• Institutions – e.g. librarians linking objects to ORCIDs when
their owners can`t/won`t
• others – e.g. citation references (+ bookmarking, tweeting...)
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16. What identifiers do we need to make that happen?
As a result, identifiers shouldn`t be private property (but need to
be in the public domain).
And perhaps most important:
We need a broad awareness of identifiers and relation types
that are already in use, and a culture of reuse across different
application types (publishers, researcher network services,
institutional research information systems, and libraries).
Linked Open Data may be helpful in that way.
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17. Questions + feedback = welcome J
• Twitter @Lambo
• Skype wikify
• Mail LH@wikify.org
• Web http://wikify.org/
• This presentation: http://de.slideshare.net/lambo/tag/odin12
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18. Vielen Dank für Ihre Aufmerksamkeit!