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.
Highlights
Through the use of current research information systems (CRIS)1, scientific institutions can provide a current overview of their research activities, collect, process and manage information about their scientific activities, projects and publications, as well as integrate them into their web presence
To better understand the importance of data quality, this paper provides an overview of former studies on data quality and quality issues in CRIS and presents the results of an exploratory investigation with a small panel of CRIS experts from universities in different European countries
Data that have been modeled for a specific operational use and have a high level of heterogeneity needs to be adjusted and controlled in order to be used as the basis for such analyzes in the CRIS context
Summary
Through the use of current research information systems (CRIS) , scientific institutions can provide a current overview of their research activities, collect, process and manage information about their scientific activities, projects and publications, as well as integrate them into their web presence. The CRIS interweaves the individual sources of data and workflows between science and administration, and is an information provider, and a working tool. A CRIS can be helpful for the management of research activities and outputs, such as publications, research projects, lectures, prices, etc. CRIS should avoid unnecessary work and reduce the effort involved in preparing reports or in presenting research performance and scientific expertise.
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