Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/1293
Title: Quality issues of CRIS data: an exploratory investigation with universities from twelve countries
Authors: Azeroual, Otmane 
Schöpfel, Joachim 
Keywords: current research information systems;research information management systems;data quality;data quality improvement;surveys
Issue Date: 22-Feb-2019
Publisher: MDPI
Source: Azeroual, O.; Schöpfel, J. Quality Issues of CRIS Data: An Exploratory Investigation with Universities from Twelve Countries. Publications 2019, 7, 14
Journal: Publications
Abstract: 
Collecting, integrating, storing and analyzing data in a database system is nothing new in itself. To introduce a current research information system (CRIS) means that scientific institutions must provide the required information on their research activities and research results at a high quality. A one-time cleanup is not sufficient; data must be continuously curated and maintained. Some data errors (such as missing values, spelling errors, inaccurate data, incorrect formatting, inconsistencies, etc.) can be traced across different data sources and are difficult to find. Small mistakes can make data unusable, and corrupted data can have serious consequences. The sooner quality issues are identified and remedied, the better. For this reason, new techniques and methods of data cleansing and data monitoring are required to ensure data quality and its measurability in the long term. This paper examines data quality issues in current research information systems and introduces new techniques and methods of data cleansing and data monitoring with which organizations can guarantee the quality of their data.
Description: 
18 pages.-- Published in MDPI Publications vol. 7, iss 1, art no 14, 2019
URI: http://hdl.handle.net/11366/1293
DOI: 10.3390/publications7010014
Appears in Collections:Outreach: Papers

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