Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/190
Title: From Open Data to Data-Intensive Science through CERIF
Authors: Jeffery, Keith G. 
Asserson, Anne 
Houssos, Nikos 
Brasse, Valérie 
Jörg, Brigitte 
Keywords: contextual metadata
CERIF
open data
e-infrastructure
research data
Issue Date: 13-May-2014
Publisher: euroCRIS
Source: "Managing Data-Intensive Science: the Role of Research Information Systems in Realising the Digital Agenda": Proceedings of the 12th International Conference on Current Research Information Systems (2014)
Procedia Computer Science 33: 191-198 (2014)
Series/Report no.: CRIS2014: 12th International Conference on Current Research Information Systems (Rome, May 13-15, 2014)
Conference: CRIS2014 Conference 
Abstract: 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.
Description: Delivered at the CRIS2014 Conference in Rome; published in Procedia Computer Science 33 (Jul 2014).
Contains conference paper (8 pages) and presentation (37 slides).
URI: http://hdl.handle.net/11366/190
DOI: http://dx.doi.org/10.1016/j.procs.2014.06.032
Appears in Collections:Conference

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TS3_Jeffery_et_al_Open_Data_CRIS2014.pdfpresentation1.19 MBAdobe PDFView/Open
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