From open data to data-intensive science through CERIF
Conference paper
Jeffery, K., Asserson, A., Houssos, N., Brasse, V. and Joerg, B. 2014. From open data to data-intensive science through CERIF. Jeffery, K., Clements, A., de Castro, P. and Luzi, D. (ed.) CRIS 2014. Rome, Italy 13 - 15 May 2014 Elsevier. https://doi.org/10.1016/j.procs.2014.06.032
Type | Conference paper |
---|---|
Title | From open data to data-intensive science through CERIF |
Authors | Jeffery, K., Asserson, A., Houssos, N., Brasse, V. and Joerg, B. |
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. |
Keywords | Rich contextual metadata; CERIF; e-Science; open data; e-infrastructure; research data |
Conference | CRIS 2014 |
Series | Procedia Computer Science 33 (2014) |
Editors | Jeffery, K., Clements, A., de Castro, P. and Luzi, D. |
ISSN | 1877-0509 |
Publisher | Elsevier |
Publication dates | |
Online | 01 Jul 2014 |
Publication process dates | |
Deposited | 27 Sep 2020 |
Output status | Published |
Publisher's version | |
Copyright Statement | © 2014 Published by Elsevier B.V Open access under CC BY-NC-ND license. |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.procs.2014.06.032 |
Web of Science identifier | WOS:000348252500031 |
Language | English |
https://repository.mdx.ac.uk/item/89183
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