Human Factors of XR: Using Human Factors to Design XR Systems
OpenAIRE schirrwagen
1. CRIS and OAR entities as Linked
Data in scholarly communication –
a vision scenario
Jochen Schirrwagen
Bielefeld University Library, Germany
2. About OpenAIRE - Motivation
Implementation of a support infrastructure for
the European Open Access pilot (2009-2012)
Research Assessment
– Identification, Capture, Measurement of EC
funded FP7 project results (Special Clause 39)
Addressing of Interoperability aspects regarding
– European Commission (EC) Tools
– Current Research Information Systems (CRIS)
JISC Research Excellence Framework
– Open Access Repositories (OAR)
2 London, 14th of July 2011 – Linked Data and Libraries
3. OpenAIRE facts
Itself an EC funded FP7 project
38 OpenAIRE partners across Europe
27 National Open Access Liaison Offices
6887 projects in FP7
– Using CORDA as authoritative source
Some 10.000 publications estimated
Data-Sources (striving for OpenAIRE Guidelines compliancy)
– Institutional repositories
Using OpenDOAR as authoritative source of ~850 repositories
– Coverage of subject-based repositories planned
– Coverage of OA journals planned
3 London, 14th of July 2011 – Linked Data and Libraries
4. Interoperability Scenario
CRIS CORDA
Project data at Project data
institution at EC
KE-CRIS-OAR;
PMH; ORE
OpenAIRE
Bibliographic Deposit/claiming
data; DC; of publications
OAI-PMH related to project
OA-Repositories
Author
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5. Candidates for Entities &
Vocabularies
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6. Challenges – Data and
Interoperability
Capturing research output from different domains
involves:
Different responsibilities and tasks
Different metadata formats used
Different metadata exchange interfaces and
protocols
Different metadata granularity
– In CRIS -> fine
– In OAR -> coarse
6 London, 14th of July 2011 – Linked Data and Libraries
7. Challenges – Data and
Interoperability
In the CRIS domain In the OAR domain
– Covers the research process – Covers research publications
– Run by the administrative – Run by the library department
department – Focus on bibliographic quality
– Broader view on research – Diverse metadata formats
information
DC, DIDL/MODS, EPrints
– Diverse data models and formats
CERIF (-like) models
DDF-MXD, METIS, PURE
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8. Issues addressed
by KE CRIS-OAR
Working group within the quadrolateral Knowledge
Exchange-Initiative (KE: SURF-NL, JISC-UK, DFG-DE, DEFF-DK)
Aiming to increase interoperability between CRIS
and OAR domains
– Increasing metadata quality and re-use
– Increasing level of interface standards
– By taking existing formats into account:
Defining a metadata exchange format
With a corresponding set of common
vocabularies
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9. Publication entity as the center
of interest
Organisation
Person Publication Event
Project
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10. How could “Linked Data” help ?
Common way of linkages of content from distinct domains
– Use of native web-technologies
Controlled vocabularies may help to tame semantic variability
– URIfying named entities
Data publishers keep control of their data
Avoids context loss compared to interchange formats
May avoid double input and thus redundant data in each domain
Vocabulary helps to tame semantic variability
May reduce the identifier problem by assigning persistent URIs to the entities
– Person (Author) identifier (DAI, ORCID)
– Publication identifier (DOI, URN, …)
– Project identifier (?)
– Event identifier (?)
– Organisation identifier (?)
10 London, 14th of July 2011 – Linked Data and Libraries
11. Aggregation of Interlinked Data
Task to be addressed:
– “bulk import/export” of publication and
project data -> new wording “exposure”
– Representing different views on the
information packages, e.g.:
Publication as an Aggregation of Person,
Organisation, Project and Event entities
Nested aggregation as a collection of all
publications, where each publication is itself
an aggregation of relative CRIS-OAR entities
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13. Extract of a ORE RDF
Serialization
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14. Next Steps
Adopting KE CRIS-OAR model and vocabulary
Addressing “Linked Data” in OpenAIREplus
starting in 12/2011
– Linkage of publications and research data
– Linkage of CRIS and OAR domains
Further scenarios may include linked data as
citations or statistical data
14 London, 14th of July 2011 – Linked Data and Libraries
15. Further Links
• Portal and project home: www.openaire.eu
• EC pilot: ec.europa.eu/research/science-society/open_access
• CERIF: www.eurocris.org
• KE CRIS-OAR: http://knowledge-exchange.info/Default.aspx?ID=340
• CRIS-OAR schema and vocabulary:
https://infoshare.dtv.dk/twiki/bin/view/KeCrisOar/KeCrisOarFormat
Jochen Schirrwagen
jochen.schirrwagen@uni-bielefeld.de
Wolfram Horstmann
wolfram.horstmann@uni-bielefeld.de
15 London, 14th of July 2011 – Linked Data and Libraries
