ERA-Nets as Information Sources Gerry Lawson, UK Natural Environment Research Council.
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Transcript of ERA-Nets as Information Sources Gerry Lawson, UK Natural Environment Research Council.
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ERA-Nets as Information Sources
Gerry Lawson, UK Natural Environment Research Council
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Information WP1
Management, information and dissemination WP5
Best Practice
WP2
Strategy for Common Call WP3
Links with Developing Countries WP4
Coordinated Call for
Proposals
Pan-European Research (art 169)
The BiodivERsA ERA-Net
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Coordination of national ProgrammesCoordination of national ProgrammesERA-NET - Facts and FiguresERA-NET - Facts and Figures
Level of ambition of selected CA projects
33
11
44
22• Information exchange & best practices
• Common strategic issues
• Joint activities
• Joint/common calls (fixed for 2005/2006)
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Activity Collation Problems
All ERA-Nets collect Programme informationMost collect information on ProjectsA few maintain databases of ProgrammesA very few include databases of Project infoSome collect data on Facilities and InfrastructuresNone collect information on Project Outputs (?)Most have problems with ClassificationMost have problems with Gap AnalysisMost have problems Analysing Spend (salaries/overheads/shared grants/allocation to keywords)Many don’t consider studentshipsSome don’t record EU Region or country of work.
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Yet more problemsProgramme databases have little detail & defy classification Several countries have no Thematic ProgrammesProject databases are structured differently in each country.Each country has its own classification system and wont use anyone elses!Re-classification is time consuming and subjective. Few organisations split funding across classifiers.Machine classification of abstracts (indexing) still needs subjective editing.Context searches (Google, Autonomy, Collexis) are avaiable but don’t help much with classification.
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Which is why we need Ontologies?
An ontology is a formal knowledge organization (representation system). It contains concepts, information about these concepts, relations between these conceptsand instances,and it contains information about the relations between instances and concepts
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Sample ontology for crop pest management
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Too many ontologies?
AGROVOC
NAL Thesaurus
CABI Thesaurus
Dedicated KOSs
Non-dedicated KOSs
e.g., ASFA thesaurus
e.g., the Multilingual Forestry Thesaurus
e.g., the Sustainable Development
website classification
e.g., biological taxonomies such as NCBI and ITIS
GEmetGEMET
Other thematic thesauri
Existing Thesauri and Knowledge Organization Systems (KOSs)
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What is the starting point?
FAO maintains the multilingual thesaurus AGROVOC since the early 80sOther consistent thesauri are maintained by CABI in England and the National Agricultural Library in the StatesVarious other knowledge organization systems are scattered around the world The existing systems are language biased with English as the leading language – but GEMET is multilingualBiodivERsA is using 960 terms in the CBD controlled vocabulary (thesaurus) and creating an Authority File with synonyms.It is hoped that keywords allocated to each abstract will allow clustering & classification.
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CERIF – A European Research Information Standard
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CERIF – building a list of researchers
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Using CERIF for a Programme Database.
Geographical criteria : Applicant nationality
Choose the country from the list
Click add after each selection
i.
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Classifications and & keywords (free/controlled)
Main scientific disciplines
Choose specific fields
Research Topic
Click add after each selection
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Showing located programmes
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And specific detail of Programmes
Populate with projects from 19 members (Dec 06)Extend to non-members with tropical biodiversity projects (Feb 07)Use Indexing to apply keywords (via Authority File – Feb 07)Invite authors to update & add cvs (Mar 07)Confirm gap analysis (Mar 07)Add research outputs and facilities (June 07)Liaise with other relevant ERA-Nets (e.g. SKEP, CIRCLE, MARIN-ERA) and NoEs.Participate in any EU Research Ontology Initiative – e.g. with CORDIS.
www.eurobiodiversa.org
Next steps