Otmane Azeroual

Dr. Otmane Azeroual

Research Area Research System and Science Dynamics
Researcher
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Dr.-Ing. Otmane Azeroual has been working as a researcher at the German Centre for Higher Education Research and Science Studies (DZHW) since December 2016. After studying Business Information Systems at the University of Applied Sciences Berlin (HTW), he obtained his Ph.D. on the subject of "Investigations into data quality and user acceptance of research information systems" in engineering informatics at the Institute for Technical and Business Information Systems (ITI), Databases & Software Engineering Research Group of the Otto-von-Guericke-University Magdeburg. His research and teaching activities address digital corporate transformation, database systems, software engineering, artificial intelligence, data science and project management. As a member of the research information organization euroCRIS, he supports international universities and non-university institutions as well as their researchers with applied solutions to ensure the data quality of research information during its integration into the research information system (RIS). In addition, he is actively involved in international cooperation with scientists and companies, e.g. in the context of research and consulting projects. He is also the editor of various internationally renowned journals with the aim of networking and advancing research in the international academic community. His research has been published in leading academic and practice-oriented journals.

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Academic research fields

Databases & Information Systems, Data Quality Management, Business Intelligence, Artificial Intelligence, Data Management, Big Data, Open Data, Data Science, IoT, Cloud Computing, IT-Security, Industry 4.0, Smart City

Projects

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National Academics Panel Study (NACAPS)
Publications

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Datenprofiling und Datenbereinigung in Forschungsinformationssystemen.

Azeroual, O., / Abuosba, M. (2018).
Datenprofiling und Datenbereinigung in Forschungsinformationssystemen. In HTW Berlin & M. Knaut (Hrsg.), Kreativität + X = Innovation, 8/2018, S.16-25. Berlin: BWV - Berliner Wissenschafts-Verlag GmbH.

Investigations of concept development to improve data quality in research information systems.

Azeroual, O., Saake, G., & Abuosba, M. (2018).
Investigations of concept development to improve data quality in research information systems. In G. Klassen & S. Conrad (Hrsg.), Proceedings of the 30th GI-Workshop on Foundations of Databases (Grundlagen von Datenbanken), 05/2018, (S. 29-34). Wuppertal, Germany.

Data measurement in research information systems: metrics for the evaluation of data quality.

Azeroual, O., Saake, G., & Wastl, J. (2018).
Data measurement in research information systems: metrics for the evaluation of data quality. Scientometrics, 4/2018, 1-20.

The Effects of Using Business Intelligence Systems on an Excellence Management and Decision-Making Process by Start-up Companies: A Case Study.

Azeroual, O., & Theel, H. (2018).
The Effects of Using Business Intelligence Systems on an Excellence Management and Decision-Making Process by Start-up Companies: A Case Study. International Journal of Management Science and Business Administration, 3/2018, 34-45.

Analyzing data quality issues in research information systems via data profiling.

Azeroual, O., Saake, G., & Schallehn, E. (2018).
Analyzing data quality issues in research information systems via data profiling. International Journal of Information Management, 4/2018, 50-56. https://doi.org/10.1016/j.ijinfomgt.2018.02.007

Data Quality Measures and Data Cleansing for Research Information Systems.

Azeroual, O., Saake, G., & Abuosba, M. (2018).
Data Quality Measures and Data Cleansing for Research Information Systems. Journal of Digital Information Management, 2/2018, 12-21.

Improving the Data Quality in the Research Information Systems.

Azeroual, O., & Abuosba, M. (2017).
Improving the Data Quality in the Research Information Systems. International Journal of Computer Science and Information Security, 11/2017, 82-86.
Presentations

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Untersuchungen zur Konzeptentwicklung für eine Verbesserung der Datenqualität in Forschungsinformationssystemen.

Azeroual, O., Saake G., & Abuosba, M. (2018, Mai).
Untersuchungen zur Konzeptentwicklung für eine Verbesserung der Datenqualität in Forschungsinformationssystemen. Vortrag auf dem 30th GI-Workshop Grundlagen von Datenbanken, Wuppertal, 22.-25.05.2018.