Information integration in Research Information Systems
Author(s)
Issue Date
May 13, 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: 18-24 (2014)
Type
Conference Paper
Abstract
Information integration is an ongoing challenge in data management and various approaches have been proposed in database research. New technologies and application areas create different requirements for integration systems. Research information management (RIM) is yet another challenge for data integration. RIM has many properties that are typical for data integration scenarios: many data sources, various modeling languages and data models, heterogeneity in syntax and semantics. Furthermore, many stakeholders are involved in RIM, usually with diverting goals. The combination of these properties makes RIM a particular difficult integration problem.
In this paper, we discuss the applicability of data integration approaches to research information management. In particular, we want to highlight the lessons which have been learned in data integration in the recent years. Early approaches in data integration focused on the data models and the problems with schema integration. Recent work rather concentrates on the mappings between models and integration processes. Our main argument in this paper is that mappings should be also considered as key objects in research information systems.
Description
Delivered at the CRIS2014 Conference in Rome; published in Procedia Computer Science 33 (Jul 2014).
Contains conference paper (7 pages) and presentation (16 slides).
URI
https://dspacecris.eurocris.org/handle/11366/199
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40_Quix_Jarke_CRIS2014_Rome.pdf
Description
post-print version
Size
168.44 KB
Format
Adobe PDF
Checksum (MD5)
1030a8109ea4cf47fa2315b9cd8d8712
Conference(s)