Quality issues of CRIS data: an exploratory investigation with universities from twelve countries
Author(s)
Issue Date
February 22, 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
Type
Article
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
https://dspacecris.eurocris.org/handle/11366/1293
File(s)![Thumbnail Image]()
Name
Azeroual-Schöpfel_Quality-issues-CRIS-data_MDPIPublications-07-00014_2019.pdf
Description
Final published version
Size
4.84 MB
Format
Adobe PDF
Checksum (MD5)
aa424d4c1485fea83924704bdabae8ed