Harmonising and formalising research administration profiles CASRAI / CERIF
Joerg, Brigitte ORCID: https://orcid.org/0000-0001-7941-8108, Höllrigl, Thorsten and Baker, David
(2014)
Harmonising and formalising research administration profiles CASRAI / CERIF.
Jeffery, Keith, Clements, Anna, de Castro, Pablo and Luzi, Daniela, eds.
Proceedings 12th International Conference on Current Research Information Systems - Managing data intensive science - the role of research information systems in realising the digital agenda.
In: CRIS 2014, 13-15 May 2014, Rome, Italy.
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ISSN 1877-0509
[Conference or Workshop Item]
(doi:10.1016/j.procs.2014.06.016)
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Abstract
CASRAI and CERIF are international standardisation initiatives in the domain of Research Information Management. CASRAI develops and maintains a standard extensible vocabulary and exchangeable data profiles that reflect the business requirements of involved stakeholders. A data profile specifies the maximal ideal space of its application with compliant data records. CERIF is a data model supplying standard formal syntax and declared semantics to preserve the meaning inherent in identified requirements. It enables the transformation of conceptual descriptions into formal representation thereof and thus their meaningful re-use as well as a semantically compliant and syntactically valid data interchange. With this paper we share the experience, and the lessons learned from the transformation of CASRAI profiles into CERIF XML through the example of an Abridged CV.
Item Type: | Conference or Workshop Item (Paper) |
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Additional Information: | Series: Procedia Computer Science 33 (2014) |
Keywords (uncontrolled): | Research Information, Research Administration, Harmonisation, Data Profile, CV, CASRAI, CERIF |
Research Areas: | A. > Library and Student Support |
Item ID: | 31074 |
Notes on copyright: | © 2014 Published by Elsevier B.V Open access under CC BY-NC-ND license. |
Useful Links: | |
Depositing User: | Brigitte Joerg |
Date Deposited: | 27 Sep 2020 18:01 |
Last Modified: | 27 Sep 2020 18:01 |
URI: | https://eprints.mdx.ac.uk/id/eprint/31074 |
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