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
TypeConference paper
TitleFrom open data to data-intensive science through CERIF
AuthorsJeffery, 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.

KeywordsRich contextual metadata; CERIF; e-Science; open data; e-infrastructure; research data
ConferenceCRIS 2014
SeriesProcedia Computer Science 33 (2014)
EditorsJeffery, K., Clements, A., de Castro, P. and Luzi, D.
ISSN1877-0509
PublisherElsevier
Publication dates
Online01 Jul 2014
Publication process dates
Deposited27 Sep 2020
Output statusPublished
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 identifierWOS:000348252500031
LanguageEnglish
Permalink -

https://repository.mdx.ac.uk/item/89183

Log in to edit

Download files

Publisher's version
1-s2.0-S1877050914008229-main.pdf

  • 46
    total views
  • 9
    total downloads
  • 0
    views this month
  • 0
    downloads this month

Export as

Related outputs

CERIF: the common European research information format model
Joerg, B. 2010. CERIF: the common European research information format model. Data Science Journal. 9 (2010), pp. CRIS24-CRIS31. https://doi.org/10.2481/dsj.CRIS4
Modeling the semantics of contextual and content-specific research metadata using ontology languages: issues on combining CERIF and OWL
Joerg, B., Lappalainen, J. and Kastrantas, K. 2012. Modeling the semantics of contextual and content-specific research metadata using ontology languages: issues on combining CERIF and OWL. Hesham, A., Yong, S., Khazanchi, D., Lees, M., van Albada, G., Dongarra, J. and Sloot, P. (ed.) ICCS 2012. Omaha, Nebraska 04 - 06 Jun 2012 Elsevier. https://doi.org/10.1016/j.procs.2012.04.171
Promoting international interoperability of research information systems: VIVO and CERIF
Lezcano, L., Joerg, B., Lowe, B. and Corson-Rikert, J. 2013. Promoting international interoperability of research information systems: VIVO and CERIF. Journal of Universal Computer Science. 19 (12), pp. 1854-1867. https://doi.org/10.3217/jucs-019-12-1854
The application of the CERIF data format to Snowball metrics
Clements, A., Joerg, B., Lingjærde, G., Chudlarský, T. and Colledge, L. 2014. The application of the CERIF data format to Snowball metrics. 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.2014.06.047
Combining VIVO and Google Scholar data as sources for CERIF linked data: a case in the agricultural domain
Nogales, A., Sicilia, M. and Joerg, B. 2014. Combining VIVO and Google Scholar data as sources for CERIF linked data: a case in the agricultural domain. Jeffrey, 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.2014.06.042
Realising a Flemish government innovation information portal with business semantics management
Spyns, P., van Grootel, G., Joerg, B. and Christiaens, S. 2010. Realising a Flemish government innovation information portal with business semantics management. Stempfhuber, M. and Thidemann, N. (ed.) CRIS 2010. Aalborg, Denmark Aalborg University Press.
Towards the nature of citations
Joerg, B. 2008. Towards the nature of citations. Eschenbach, C. and Michael, G. (ed.) FOIS 2008. Saarbrücken, Germany 31 Oct - 03 Nov 2008 German Research Center for Artificial Intelligence (DFKI). pp. 31-36
OpenAIRE guidelines for CRIS managers 1.0
Houssos, N., Joerg, B. and Dvořák, J. 2015. OpenAIRE guidelines for CRIS managers 1.0. OpenAIRE. https://doi.org/10.5281/zenodo.17065
Question answering from structured knowledge sources
Frank, A., Krieger, H., Xu, F., Uszkoreit, H., Crysmann, B., Joerg, B. and Schäfer, U. 2007. Question answering from structured knowledge sources. Journal of Applied Logic. 5 (1), pp. 20-48. https://doi.org/10.1016/j.jal.2005.12.006
The data model of the OpenAIRE scientific communication e-infrastructure
Manghi, P., Houssos, N., Mikulicic, M. and Joerg, B. 2012. The data model of the OpenAIRE scientific communication e-infrastructure. Dodero, J., Palomo-Duarte, M. and Karampiperis, P. (ed.) MTSR 2012. Cádiz, Spain 28 - 30 Nov 2012 Springer. https://doi.org/10.1007/978-3-642-35233-1_18
Streamlining the CERIF XML data exchange format: towards CERIF 2.0.
Joerg, B., Dvořák, J. and Vestdam, T. 2012. Streamlining the CERIF XML data exchange format: towards CERIF 2.0. CRIS 2012. Prague, Czech Republic 06 - 09 Jun 2012 euroCRIS. pp. 221-230
Modeling the context of scientific information: Mapping VIVO and CERIF
Lezcano, L., Joerg, B. and Sicilia, M. 2012. Modeling the context of scientific information: Mapping VIVO and CERIF. CAiSE 2012. Gdansk, Poland 25 - 26 Jun 2012 Springer. https://doi.org/10.1007/978-3-642-31069-0_11
Entities and identities in research information systems
Joerg, B., Höllrigl, T. and Sicilia, M. 2014. Entities and identities in research information systems. CRIS 2012. Prague, Czech Republic 06 - 09 Jun 2012 euroCIRS. pp. 185-194
A multi-level metadata approach for a public sector information data infrastructure
Houssos, N., Joerg, B. and Matthews, B. 2012. A multi-level metadata approach for a public sector information data infrastructure. 11th International Conference on Current Research Information Systems. Prague, Czech Republic 06 - 09 Jun 2012 pp. 19-31
Harmonising and formalising research administration profiles CASRAI / CERIF
Joerg, B., Höllrigl, T. and Baker, D. 2014. Harmonising and formalising research administration profiles CASRAI / 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.2014.06.016
Harmonising Research Reporting in the UK - Experiences and Outputs from UKRISS
Joerg, B., Waddington, S., Jones, R. and Trowell, S. 2014. Harmonising Research Reporting in the UK - Experiences and Outputs from UKRISS. CRIS 2014. Rome, Italy 13 - 15 May 2014 Elsevier. https://doi.org/10.1016/j.procs.2014.06.034
OpenAIRE guidelines for CRIS managers: supporting interoperability of open research information through established standards
Houssos, N., Joerg, B., Dvořák, J., Príncipe, P., Rodrigues, E., Manghi, P. and Elbæk, M. 2014. OpenAIRE guidelines for CRIS managers: supporting interoperability of open research information through established standards. Procedia Computer Science. 33 (2014), pp. 33-38. https://doi.org/10.1016/j.procs.2014.06.006
Connecting closed world research information systems through the linked open data web
Joerg, B., Ruiz-Rube, I., Sicilia, M., Dvořák, J., Jeffery, K., Höllrigl, T., Rasmussen, H., Engfer, A., Vestdam, T. and Barriocanal, E. 2012. Connecting closed world research information systems through the linked open data web. International Journal of Software Engineering and Knowledge Engineering. 22 (03), pp. 345-364. https://doi.org/10.1142/S0218194012400074