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From Open Data to Data-intensive Science through CERIF
Copyright policy )From Open Data to Data-intensive Science through CERIF
OGD (Open Government Data) is provided from government departments for transparency and to stimulate a market in ICT services for industry and citizens. Research datasets from publicly funded research commonly are associated with the open scholarly publications movement. However, the former world commonly is derived from the latter with generalisation and summarisation. There is advantage in a user of OGD being able to ‘drill down’ to the underlying research datasets. OGD encourages cross-domain research because the summarized data from different domains is more easily relatable. Bridging across the two worlds requires rich metadata; CERIF (Common European research Information Format) has proved itself to be ideally suited to this requirement. Utilising the research datasets is data-intensive science, a component of e-Research. Data-intensive science also requires access to an e-infrastructure. Virtualisation of this e-infrastructure optimizes this. publishedVersion
- UNIVERSITETET I BERGEN Norway
- University of Bergen Norway
Microsoft Academic Graph classification: Computer science computer.software_genre World Wide Web Open government Government European research Virtualization Metadata Open data Information and Communications Technology Transparency (graphic) e-Science Drill down computer
open data, CERIF, e-infrastructure, General Environmental Science, e-Science, research data, rich contextual metadata, General Earth and Planetary Sciences
open data, CERIF, e-infrastructure, General Environmental Science, e-Science, research data, rich contextual metadata, General Earth and Planetary Sciences
Microsoft Academic Graph classification: Computer science computer.software_genre World Wide Web Open government Government European research Virtualization Metadata Open data Information and Communications Technology Transparency (graphic) e-Science Drill down computer
1.http://www.w3.org/wiki/LinkedData retrieved 12-06-2013 2. http://www.w3.org/RDF/ retrieved 18-02-2014 3. http://ckan.org/features/metadata/ retrieved 08-06-2013 4. http://www.w3.org/2001/sw/wiki/OWL retrieved 18-02-2014 5. http://www.w3.org/2004/02/skos/ retrieved 12-06-2013 6. Bunakov V, Jeffery KG. Licence Management for Public Sector Information. In: Parycek P, Edelmann N, editors. Proceedings Conference
for E-Demoracy and Open Government (CeDEM) 2013 pp 292-302 7. http://dublincore.org/ 8. http://www.esd.org.uk/standards/egms/ retrieved 18-02-2014 9. https://joinup.ec.europa.eu/asset/adms/home retrieved 18-02-2014 10. http://inspire.jrc.ec.europa.eu/index.cfm/pageid/101 retrieved 18-02-2014 11. http://www.w3.org/TR/vocab-dcat 12. Jeffery KG, Asserson A, Houssos N, Jörg B. A 3-layer model for Metadata In: Greenberg J, Ball A, Jeffery K, Qin J, Kakela R. editors.
CAMP-4-DATA Workshop; Proceedings International Conference on Dublin Core and Metadata Applications, Lisbon September 2013 13. http://cordis.europa.eu/cerif/ 14. Jeffery, KG. Knowledge, Information and Data (Internal Technical Report proposing to UK government the e-Science programme)
https://epubs.stfc.ac.uk/work/28736 retrieved 20140221 15. Jeffery K . CRIS in 2020. In: Dvorak J, Jeffery KG, editors. Proceedings 11th International Conference on Current Research Information
Systems (CRIS2012), Prague, 2012
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).9 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).9 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Average influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Average
Citations provided by BIP!Popularity provided by BIP!- UNIVERSITETET I BERGEN Norway
- University of Bergen Norway
OGD (Open Government Data) is provided from government departments for transparency and to stimulate a market in ICT services for industry and citizens. Research datasets from publicly funded research commonly are associated with the open scholarly publications movement. However, the former world commonly is derived from the latter with generalisation and summarisation. There is advantage in a user of OGD being able to ‘drill down’ to the underlying research datasets. OGD encourages cross-domain research because the summarized data from different domains is more easily relatable. Bridging across the two worlds requires rich metadata; CERIF (Common European research Information Format) has proved itself to be ideally suited to this requirement. Utilising the research datasets is data-intensive science, a component of e-Research. Data-intensive science also requires access to an e-infrastructure. Virtualisation of this e-infrastructure optimizes this. publishedVersion