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Otmane Azeroual

Dr. Otmane Azeroual

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

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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.

Implementation and User Acceptance of Research Information Systems. An Empirical Survey of German Universities and Research Organisations.

Azeroual, O., Schöpfel, J., & Saake, G. (2019).
Implementation and User Acceptance of Research Information Systems. An Empirical Survey of German Universities and Research Organisations. Data Technologies and Applications, Emerald Publishing Limited. https://doi.org/10.1108/DTA-01-2019-0009

Research Intelligence (CRIS) and the Cloud: A Review.

Azeroual, O., & Schöpfel, J. (2019).
Research Intelligence (CRIS) and the Cloud: A Review. Computer and Information Science, Volume 4, 40-55.

Solving problems of research information heterogeneity during integration – using the European CERIF and German RCD standards as examples.

Azeroual, O., Saake, G., Abuosba, M., & Schöpfel, J. (2019).
Solving problems of research information heterogeneity during integration – using the European CERIF and German RCD standards as examples. Information Services and Use, 09/2019, 105-122. Netherlands: IOS Press.

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

Azeroual, O., Saake, G., Abuosba, M., & Schöpfel, J. (2019).
Quality of Research Information in RIS Databases: A Multidimensional Approach. In Abramowicz, W., & Corchuelo, Rafael (Hrsg.), 22nd International Conference on Business Information Systems, BIS 2019, Seville, Spain, June 26–28, 2019, 5/2019 (S. 337-349).

ETL Best Practices for Data Quality Checks in RIS Databases.

Azeroual, O., Saake, G., & Abuosba, M. (2019).
ETL Best Practices for Data Quality Checks in RIS Databases. Informatics, volume 6, 1-13.

Quality Issues of CRIS Data: An Exploratory Investigation with Universities from Twelve Countries.

Azeroual, O., & Schöpfel, J. (2019).
Quality Issues of CRIS Data: An Exploratory Investigation with Universities from Twelve Countries. MDPI Publications, volume 7 (1-18). https://doi.org/10.3390/publications7010014

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).
Text data mining and data quality management for research information systems in the context of open data and open science. In ESI-CNRST, N. Ibnlkhayat (Hrsg.), Proceedings of 3rd International Colloquium on Open Access - Open Access to Science Foundations, Issues and Dynamics (29-46), 28-30 November 2018, Rabat-Morocco, 11/2018.
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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.
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In collaboration with

André Gottwald

André Gottwald

Sinje Steinmann

Sinje Steinmann

Marie Lena Muschik

Marie Lena Muschik

Vanessa Katharina Jänsch

Dr. Vanessa Katharina Jänsch

Susanne de Vogel

Dr. Susanne de Vogel

Gesche Brandt

Dr. Gesche Brandt

Valeria Aman

Valeria Aman

Carola Teichmann

Carola Teichmann

Kolja Briedis

Dr. Kolja Briedis

Monika Jungbauer-Gans

Prof. Dr. Monika Jungbauer-Gans

Antje Wegner

Dr. Antje Wegner

Sabrina Petersohn

Dr. Sabrina Petersohn

Christoph Thiedig

Christoph Thiedig