Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/505
Title: Modelling National Research Information Contexts based on CERIF
Authors: Quix, Christoph 
Riechert, Matthias 
Keywords: research information management;CERIF;data model;Core Data Set (CDS)
Issue Date: 9-Jun-2016
Publisher: euroCRIS
Source: "Communicating and Measuring Research Responsibly: Profiling, Metrics, Impact, Interoperability": Proceedings of the 13th International Conference on Current Research Information Systems (2016)
Procedia Computer Science 106: 253-259 (2017)
Series/Report no.: CRIS2016: 13th International Conference on Current Research Information Systems (St Andrews, June 9-11, 2016)
Conference: CRIS2016 – St Andrews 
Abstract: 
We present the results of the data modelling in the project ‘Research Core Dataset’ (2013-2015) that provided the context for developing a set of core definitions for research information for the German science system. In this paper, we focus on the data modelling aspects of the project, whereas another submission focuses on the management of the discussion phase and visualization of the argumentation process in the project. We present how the data model has been developed and synchronised with the argumentation process. As compatibility with CERIF was a major requirement for the data model, we present our approach to link the data model to the CERIF standard.
Description: 
Delivered at the CRIS2016 Conference in St Andrews; published in Procedia Computer Science 106 (Mar 2017).-- Contains conference paper (7 pages).
URI: http://hdl.handle.net/11366/505
DOI: http://dx.doi.org/10.1016/j.procs.2017.03.023
Appears in Collections:Conference

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