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Publications 2019, 7(1), 14; https://doi.org/10.3390/publications7010014

Quality Issues of CRIS Data: An Exploratory Investigation with Universities from Twelve Countries

1
German Center for Higher Education Research and Science Studies (DZHW), 10117 Berlin, Germany
2
Institute for Technical and Business Information Systems—Database Research Group, Otto von Guericke University Magdeburg, 39106 Magdeburg, Germany
3
Department of Computer Science and Engineering, University of Applied Science—HTW Berlin, 12459 Berlin, Germany
4
GERiiCO Laboratory, University of Lille, 59653 Villeneuve-d’Ascq, France
*
Author to whom correspondence should be addressed.
Received: 26 November 2018 / Revised: 13 February 2019 / Accepted: 19 February 2019 / Published: 22 February 2019
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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. View Full-Text
Keywords: current research information systems (CRIS); research information systems (RIS); research information management systems (RIMS); research information; data quality issues; data quality perception; quality management task; quality enhancement methods current research information systems (CRIS); research information systems (RIS); research information management systems (RIMS); research information; data quality issues; data quality perception; quality management task; quality enhancement methods
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Azeroual, O.; Schöpfel, J. Quality Issues of CRIS Data: An Exploratory Investigation with Universities from Twelve Countries. Publications 2019, 7, 14.

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