Improving the data quality in the research information systems

Otmane Azeroual (1) , Mohammad Abuosba (2)

1 DZHW - German Center for Higher Education Research and Science Studies
2 HTW - University of Applied Sciences HTW Berlin

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 information.

Mots clés: standardization; data quality; science system; Research information systems (RIS); CRIS; research information; heterogeneous sources; data cleansing

Domaines: Informatique [cs]; Base de données [cs.DB]

Otmane Azeroual, Mohammad Abuosba. Improving the data quality in the research information systems. International Journal of Computer Science and Information Security, 2017, 15. ⟨hal-01960370⟩