©eurocris/keith g jefferycris seminar 200409 brussels 20040921 1 discussion topics keith g jeffery...
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©euroCRIS/Keith G Jeffery CRIS Seminar 200409 Brussels 20040921 1
Discussion Topics
Keith G Jeffery
President, euroCRIS
www.eurocris.org
©euroCRIS/Keith G Jeffery CRIS Seminar 200409 Brussels 20040921 2
Open Access
• Existing state, Gold & Green– Availability– Costs– Citations and references– Crosslinks to data, software
©euroCRIS/Keith G Jeffery CRIS Seminar 200409 Brussels 20040921 3
Open Access Barriers
• Copyright– Licence to use / publish
• Peer review• Journal colleges• Learned societies• Free annotation
• ‘pretty’ publishing
©euroCRIS/Keith G Jeffery CRIS Seminar 200409 Brussels 20040921 4
Open Access Repositories
• Subject based E.g. ArXiv– Community building
• Institutional– IPR– Curation– Public relations
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Publication Quality
• ISI and its use– Problems by area (e.g. social science)– Problems by coverage within area
• Other approaches– citeseer
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Information value chain
11 22 33 44 55 66 77 88
1:1:2:2:3:3:4:4:
5:5:6:6:7:7:8:8:
creationcreationacquisitionacquisitioncertificationcertificationdisclosuredisclosure
productionproductiondistributiondistributiondisseminationdisseminationusageusage
(Roosendaal)
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OA – in whose interest?
• Author– Wider access, citation– But maybe less prestigious than traditional route– Effort to deposit
• Institution– Collection of intellectual property– Check on IPR/patenting– Quality of publication (reputation)
• Reader– free and electronic
‘scientific freedom versus institutional management’
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CRIS + OA
• Linkage CRIS + OA– CRIS associative scientific
management data– R&D primary data– OSS– DC and its problems– Formalised DC to form bridge
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Metadata
• Fundamentally important– E.g. for OAI-PMH
• Dublin Core– Simple– Qualified– Formal
• Link to semantic web/grid• Link to CRIS
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Access
• Distributed query access– E.g. Z39.50
• Harvesting to ‘catalog’ then query on catalog and link to object of interest– E.g. OAI-PMH plus query system– (and in CRIS world EXIRPTS, ERGO)
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New Technologies
• GRIDS – How to use for CRIS and OA– High capacity network– massive compute power– Massive data stores / databases
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CRIS+OA=The Route to Research
Knowledge on the GRID
The GRID
OA Repositories(the knowledge)
CRISs(the management tool)
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CRIS+OA=The Route to Research
Knowledge on the GRID
• CRIS: management of R&D activity through information – better decisions– better technology transfer / innovation /
exploitation
• Open Access: open access to R&D knowledge – easy knowledge availability– Improved R&D quality
• GRID: A universal computation, information and knowledge surface– The basis for the future of Europe
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Science as a process within a Grids
environment
Submit proposal
Prepare experiment
Generateresults
Analyseresults
Write report
Provenancemetadata + access
conditionsdata
description ++ +datalocation
Related material
Collecting the metadata can then become part of the experimental support environment
CRISDA IR
(Matthews)
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Will Researchers Accept
• Traditional freedom of researchers• Institution might have different
interest– IPR – exploitation– Quality - reputation
• Retention of copyright• Workflow in institution
– researcher has to trade freedom for institutional management objectives
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Infrastructure v Frontline
• US 30% R&D funding in infrastructure
• UK ~ 15%• Other EU countries?
• Does the investment improve the research done by the frontline researchers by a commensurate amount?
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Strategic Partners for this Seminar
– ESF– EARMA– ALLEA– CODATA– ERCIM
And, of course, the EC
euroCRIS has collected together some of the key organisations