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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Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities.

Lnenicka, M., Nikiforova, A., Luterek, M., Azeroual, O., Ukpabi, D., Valtenbergs, V., & Machova, R. (2022).
Transparency of open data ecosystems in smart cities: Definition and assessment of the maturity of transparency in 22 smart cities. Sustainable Cities and Society, 2022(82), 103906. https://doi.org/10.1016/j.scs.2022.103906

A Record Linkage-Based Data Deduplication Framework with DataCleaner Extension.

Azeroual, O., Jha, M., Nikiforova, A., Sha, K., Alsmirat, M., & Jha, S. (2022).
A Record Linkage-Based Data Deduplication Framework with DataCleaner Extension. Multimodal Technologies and Interaction, 2022(6), 27. https://doi.org/10.3390/mti6040027

RecSys Pertaining to Research Information with Collaborative Filtering Methods: Characteristics and Challenges.

Azeroual, O., & Koltay, T. (2022).
RecSys Pertaining to Research Information with Collaborative Filtering Methods: Characteristics and Challenges. MDPI Publications, 2022(10), 17. https://doi.org/10.3390/publications10020017

Proof of concept to secure the quality of research data.

Azeroual, O. (2022).
Proof of concept to secure the quality of research data. In Osten, W. (Hrsg.), Fourteenth International Conference on Machine Vision (ICMV 2021), 1208402 (5 March 2022). Rome, Italy: SPIE Digital Library. https://doi.org/10.1117/12.2622432

Apache Spark and MLlib-Based Intrusion Detection System or How the Big Data Technologies Can Secure the Data.

Azeroual, O., & Nikiforova, A. (2022).
Apache Spark and MLlib-Based Intrusion Detection System or How the Big Data Technologies Can Secure the Data. Information, 13(2), 58. https://doi.org/10.3390/info13020058

Untersuchungen zur Datenqualität und Nutzerakzeptanz von Forschungsinformationssystemen.

Azeroual, O. (2022).
Untersuchungen zur Datenqualität und Nutzerakzeptanz von Forschungsinformationssystemen. Framework zur Überwachung und Verbesserung der Qualität von Forschungsinformationen. Wiesbaden: Springer Vieweg. https://doi.org/10.1007/978-3-658-36702-2

Trustworthy or not? Research data on COVID-19 in data repositories.

Azeroual, O., & Schöpfel, J. (2021).
Trustworthy or not? Research data on COVID-19 in data repositories. In D. Baker & L. Ellis (Hrsg.), Libraries, Digital Information, and COVID: Practical Applications and Approaches to Challenge and Change (S. 169-182). Cambridge, Kidlington: Chandos Publishing. https://doi.org/10.1016/B978-0-323-88493-8.00027-6

Datenqualität und -kuratierung als Voraussetzung für Open Research Data.

Azeroual, O. (2021).
Datenqualität und -kuratierung als Voraussetzung für Open Research Data. Information - Wissenschaft & Praxis, 2021(72), 204-211. https://doi.org/10.1515/iwp-2021-2158

Rewarding Research Data Management.

Schöpfel, J., & Azeroual, O. (2021).
Rewarding Research Data Management. In Manghi, P. et al. (Hrsg.), Proceedings of Sci-K 2021: 1st International Workshop on Scientific Knowledge Representation, Discovery, and Assessment, Apr 19 –23, 2021. Ljubljana, Slovenia: ACM, New York, NY, USA. https://doi.org/10.1145/3442442.3451367

Data Quality Strategy Selection in CRIS: Using a Hybrid Method of SWOT and BWM.

Azeroual, O., Ershadi, M. J., Azizi, A., Banihashemi, M., & Abadi, R. E. (2021).
Data Quality Strategy Selection in CRIS: Using a Hybrid Method of SWOT and BWM. Informatica - An International Journal of Computing and Informatics, 2021(45), 65-80. https://doi.org/10.31449/inf.v45i1.2995

Processing Big Data with Apache Hadoop in the Current Challenging Era of COVID-19.

Azeroual, O., & Fabre, R. (2021).
Processing Big Data with Apache Hadoop in the Current Challenging Era of COVID-19. Big Data and Cognitive Computing, 2021(5), 12. https://doi.org/10.3390/bdcc5010012

Künstliche Intelligenz als fundierte Entscheidungshilfe in Datenbanken wie CRIS.

Azeroual, O. (2021).
Künstliche Intelligenz als fundierte Entscheidungshilfe in Datenbanken wie CRIS. Information - Wissenschaft & Praxis (online first). https://doi.org/10.1515/iwp-2020-2130

Evaluating Scientific Impact of Research Infrastructures: The Role of Current Research Information Systems.

Fabre, R., Egret, D., Schöpfel, J., & Azeroual, O. (2021).
Evaluating Scientific Impact of Research Infrastructures: The Role of Current Research Information Systems. Quantitative Science Studies (online first). https://doi.org/10.1162/qss_a_00111

Research Ethics, Open Science and CRIS.

Schöpfel, J., Azeroual, O., & Jungbauer-Gans, M. (2020).
Research Ethics, Open Science and CRIS. MDPI Publications, 2020(8), 51. https://doi.org/10.3390/publications8040051

Current research information systems and institutional repositories: From data ingestion to convergence and merger.

Schöpfel, J., & Azeroual, O. (2020).
Current research information systems and institutional repositories: From data ingestion to convergence and merger. In Baker, D., & Ellis, L. (Hrsg.), Future Directions in Digital Information, 1st Edition: Predictions, Practice, Participation, 11/2020, (S. 19-37). Sawston, Cambridge: Chandos Publishing. https://doi.org/10.1016/B978-0-12-822144-0.00002-1
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.