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Otmane Azeroual

Otmane Azeroual

Research Area Research System and Science Dynamics
Researcher
  • +49 30 2064177-38
  • +49 30 2064177-99

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 began his Ph.D. in Computer Science at the Institute for Technical and Business Information Systems (ITI), Database Research Group of the Otto-von-Guericke-University Magdeburg, Germany and at the Department of Computer Science and Engineering of the University of Applied Sciences (HTW) Berlin, Germany.

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Academic research fields

Database Systems, Information Systems, Data Quality Management, Business Intelligence, Big Data, Open Data, Bibliometrics, Cloud Computing, IT-Security, Industry 4.0

Projects

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BMBF data portal on education and research
Helpdesk to facilitate implementation of the Research Core Dataset
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Publications

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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 (online first).

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

Treatment of Bad Big Data in Research Data Management (RDM) Systems.

Azeroual, O. (2020).
Treatment of Bad Big Data in Research Data Management (RDM) Systems. Big Data and Cognitive Computing, 4/2020, 29. Basel, Switzerland: MDPI. https://doi.org/10.3390/bdcc4040029

Data Wrangling in Database Systems: Purging of Dirty Data.

Azeroual, O. (2020).
Data Wrangling in Database Systems: Purging of Dirty Data. Data, 6/2020, 50. Basel: MDPI. https://doi.org/10.3390/data5020050

How to Inspect and Measure Data Quality about Scientific Publications: Use Case of Wikipedia and CRIS Databases.

Azeroual, O., & Lewoniewski, W. (2020).
How to Inspect and Measure Data Quality about Scientific Publications: Use Case of Wikipedia and CRIS Databases. Algorithms, 4/2020, 107, Basel, Switzerland: MDPI. https://doi.org/10.3390/a13050107

Data Quality as a Critical Success Factor for User Acceptance of Research Information Systems.

Azeroual, O., Saake, G., Abuosba, M., & Schöpfel, J. (2020).
Data Quality as a Critical Success Factor for User Acceptance of Research Information Systems. Data, 5/2020, 35, Basel, Switzerland. https://doi.org/10.3390/data5020035

Mapping and semantic interoperability of the German RCD data model with the Europe-wide accepted CERIF.

Azeroual, O., & Herbig, N. (2020).
Mapping and semantic interoperability of the German RCD data model with the Europe-wide accepted CERIF. Information Services and Use, 4/2020, 1-24, Netherlands: IOS Press. https://doi.org/10.3233/ISU-200076

Influence of Information Quality via Implemented German RCD Standard in Research Information Systems.

Azeroual, O., Schöpfel, J., & Ivanovic, D. (2020).
Influence of Information Quality via Implemented German RCD Standard in Research Information Systems. Data, 5/2020, 30. Basel, Switzerland: MDPI. https://doi.org/10.3390/data5020030

Text and Data Quality Mining in CRIS.

Azeroual, O. (2019).
Text and Data Quality Mining in CRIS. Information, volume 10, 12, 737. https://doi.org/10.3390/info10120374

A Text and Data Analytics Approach to Enrich the Quality of Unstructured Research Information.

Azeroual, O. (2019).
A Text and Data Analytics Approach to Enrich the Quality of Unstructured Research Information. Computer and Information Science, Volume 4, 84-95.
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Presentations

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KDSF-Datenmodell: Vorstellung und Abgleich mit CERIF.

Azeroual, O. (2019).
Workshop KDSF-Datenmodell: Vorstellung und Abgleich mit CERIF. auf dem Workshop Verwendung des KDSF-Datenmodells als Standard für die Verarbeitung von Forschungsinformationen und Abgleich mit CERIF, Helpdesk für die Einführung des Kerndatensatz Forschung, Berlin, Deutschland.

Quality of Research Information in RIS Databases: A Multidimensional Approach.

Azeroual, O., Saake, G., Abuosba, M., & Schöpfel, J. (2019, Juni).
Quality of Research Information in RIS Databases: A Multidimensional Approach. Vortrag auf der 22nd International Conference on Business Information Systems, BIS 2019, Seville, Spain, June 26–28, 2019.

KDSF-Datenmodell: Vorstellung und Abgleich mit CERIF.

Azeroual, O. (2019).
Workshop KDSF-Datenmodell: Vorstellung und Abgleich mit CERIF. auf dem Workshop Verwendung des KDSF-Datenmodells als Standard für die Verarbeitung von Forschungsinformationen und Abgleich mit CERIF, Helpdesk für die Einführung des Kerndatensatz Forschung, Berlin, Deutschland.

Text data mining and data quality management for research information systems in the context of open data and open science.

Azeroual, O., Saake, G., Abuosba, M., & Schöpfel, J. (2018, November).
Text data mining and data quality management for research information systems in the context of open data and open science. Vortrag auf der 3rd International Colloquium on Open Access - Open Access to Science Foundations, Issues and Dynamics, 28.-30. November 2018, Rabat-Morocco.

Datenprofiling und Datenbereinigung in Forschungsinformationssystemen.

Azeroual, O., & Abuosba, M. (2018, November).
Datenprofiling und Datenbereinigung in Forschungsinformationssystemen. Vortrag auf der Veranstaltung „Symposium Kreativität + X = Innovation“ an der HTW Berlin, am 08.11.2018.

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.
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Curriculum Vitae
Since 09/2020

IT-Researcher and Project Leader at German Centre for Higher Education Research and Science Studies, Department 4 Infrastructure and Methods.

01/2017

Ph.D. Candidate in Computer Science at the Institute for Technical and Business Information Systems (ITI), Database Research Group of the Otto-von-Guericke-University Magdeburg and at the Department of Computer Science and Engineering of the University of Applied Sciences (HTW) Berlin

Since 12/2016

Researcher at German Centre for Higher Education Research and Science Studies, Department 2 Research System and Science Dynamics

2015 - 2016

IT Engineer and Database Engineer at KSA/OKV - Kommunaler Schadenausgleich/Ostdeutsche Kommunalversicherung

2014 - 2015

Working Student as IT Engineer at Landesbank Berlin AG

2014 - 2015

Master of Science Business Information Systems at the University of Applied Sciences (HTW) Berlin

2012 - 2013

Internship and Working Student as Java Engineer and Web Developer at KaufDA / Bonial International Group Berlin

2011 - 2014

Bachelor of Science Business Information Systems at the University of Applied Sciences (HTW) Berlin

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In collaboration with

Marc Friese

Marc Friese

Helena Kopp

Helena Kopp

Viktor Skladovs

Viktor Skladovs

Monika Jungbauer-Gans

Prof. Dr. Monika Jungbauer-Gans

Franziska Debes

Franziska Debes

Sophie Biesenbender (geb. Schmitt)

Dr. Sophie Biesenbender (geb. Schmitt)

Christine Heisterberg

Christine Heisterberg

Christoph Thiedig

Christoph Thiedig

Sabrina Petersohn

Dr. Sabrina Petersohn

Michael Schröder

Michael Schröder