Please use this identifier to cite or link to this item: http://hdl.handle.net/11366/633
Title: Improving the Data Quality in the Research Information Systems
Authors: Azeroual, Otmane 
Abuosba, Mohammad 
Keywords: research information systems
CRIS
RIS
data quality
research information
data cleaning
data profiling
science system
standardization
Issue Date: 30-Nov-2017
Publisher: IJCSIS
Source: O Azeroual, M Abuosba (2017), "Improving the Data Quality in the Research Information Systems". International Journal of Computer Science and Information Security 15(11): 82-86
Journal: International Journal of Computer Science and Information Security
Abstract: In order to introduce an integrated research information system, this will provide scientific institutions with the necessary information on research activities and research results in assured quality. Since data collection, duplication, missing values, incorrect formatting, inconsistencies, etc. can arise in the collection of research data in different research information systems, which can have a wide range of negative effects on data quality, the subject of data quality should be treated with better results. This paper examines the data quality problems in research information systems and presents the new techniques that enable organizations to improve their quality of research data.
Description: 5 pages.-- Published in the International Journal of Computer Science and Information Security, Vol 15 Iss 11 (Nov 2017)
URI: http://hdl.handle.net/11366/633
Appears in Collections:Outreach: Papers

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