SRU/W-based CRIS systems search profile

Penca Valentin (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia)
Nikolić Siniša (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia)
Ivanović Dragan (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia)
Konjović Zora (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia)
Surla Dušan (Faculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia)

Program: electronic library and information systems

ISSN: 0033-0337

Publication date: 1 April 2014

Abstract

Purpose

The main aim of this paper is to develop a CRIS systems search profile that would enable CRIS users to perform unified and semantically rich search for the records stored in the CRIS systems.

Design/methodology/approach

Prior to the search profile construction, diverse representative types of the scientific research data store systems (CRISs, digital libraries, institutional repositories, and search portals) were analyzed versus available search modes, indexes and query types.

Findings

The new SRU/W standard based search profile (CRIS profile) for the purpose of searching scientific research data was proposed, that supports search for all types of data identified through an exhaustive analysis covering all major scientific and research data store systems.

Research limitations/implications

Constraints of the proposed profile could appear from the fact that data identified in analyzed systems do not comprise all scientific research data recognized by CERIF standard which, in turn, could call for the profile extension.

Practical implications

Search profile has been verified on the data in the existing CRIS systems at the University of Novi Sad. The CRIS search profile enables unified and semantically rich search for the data stored in heterogeneous distributed scientific research data store systems.

Originality/value

The new SRU/W-based search profile extensively supports the search domain of scientific research data in CRIS systems. Commitments to SRU/W and CQL standards enable interoperability among heterogeneous, distributed scientific research data sources.

Keywords

Citation

Penca, V., Nikolić, S., Ivanović, D., Konjović, Z. and Surla, D. (2014), "SRU/W-based CRIS systems search profile", Program: electronic library and information systems, Vol. 48 No. 2, pp. 140-166. https://doi.org/10.1108/PROG-07-2012-0040

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Publisher

:

Emerald Group Publishing Limited

Copyright © 2014, Emerald Group Publishing Limited

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