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.
Dr. Otmane Azeroual
Research Area Research System and Science Dynamics
Researcher
- +49 30 2064177-38
- +49 30 2064177-99
- Google Scholar
- Orcid
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
List of projects
Publications
List of publications
Ethical aspects using AI in CRIS.Azeroual, O., Schöpfel, J., Störl, U., & Maru¨ić, A. (2024).Ethical aspects using AI in CRIS. Procedia Computer Science, 2024(249), 150-159. https://doi.org/10.1016/j.procs.2024.11.058 |
Knowledge Graphs – The Future of Integration in CRIS Systems for Uses of Assistance to Scientific Reasoning.Fabre, R., & Azeroual, O. (2024).Knowledge Graphs – The Future of Integration in CRIS Systems for Uses of Assistance to Scientific Reasoning. Procedia Computer Science, 2024(249), 264-279. https://doi.org/10.1016/j.procs.2024.11.072 |
From Open Repositories to CRIS - A Case Study.Schöpfel, J., Azeroual, O., Chaudiron, S., Jacquemin, B., Kergosien, E., Prost, H., & Thiault, F. (2024).From Open Repositories to CRIS - A Case Study. Procedia Computer Science, 2024(249), 173-178. https://doi.org/10.1016/j.procs.2024.11.061 |
Linked open research information on semantic web: Challenges and opportunities for Research information management (RIM) User's.Azeroual, O. (2024).Linked open research information on semantic web: Challenges and opportunities for Research information management (RIM) User's. In M. D. Lytras, B. S. Alsaywid, A. Housawi, & N. R. Aljohani (Hrsg.), Next Generation eHealth. Applied Data Science, Machine Learning and Extreme Computational Intelligence (S. 163-179). Cambridge, U.S.: Academic Press. https://doi.org/10.1016/B978-0-443-13619-1.00009-X |
Digitalisierung im Forschungsmanagement – Potenziale, Herausforderungen & Entscheidungsmodelle.Azeroual, O. (2024).Digitalisierung im Forschungsmanagement – Potenziale, Herausforderungen & Entscheidungsmodelle. Information – Wissenschaft & Praxis, 2024(75), 167-176. https://doi.org/10.1515/iwp-2024-2014 |
Das Nacaps-Datenportal – Potenziale, Besonderheiten und Datenqualität in interaktiven digitalen Reportings.Azeroual, O. (2024).Das Nacaps-Datenportal – Potenziale, Besonderheiten und Datenqualität in interaktiven digitalen Reportings. Information – Wissenschaft & Praxis, 2024(75), 103-110. https://doi.org/10.1515/iwp-2024-2005 |
Data Mesh for Managing Complex Big Data Landscapes and Enhancing Decision Making in Organizations.Azeroual, O., & Nacheva, R. (2023).Data Mesh for Managing Complex Big Data Landscapes and Enhancing Decision Making in Organizations. In L. Gruenwald, E. Masciari, C. Rolland, & J. Bernardino (Hrsg.), Proceedings of the 15th International Conference on Knowledge Management and Information Systems (KMIS 2023) (S. 202-212). Rome, Italy: SciTePress, Science and Technology Publications, Lda. https://doi.org/10.5220/0012195700003598 |
FAIRification of CRIS: A Review.Azeroual, O., Schöpfel, J., Pölönen, J., & Nikiforova, A. (2023).FAIRification of CRIS: A Review. In F. Coenen, A. Fred, J. Bernardino, E. Masciari, & J. Filipe (Hrsg.), Knowledge Discovery, Knowledge Engineering and Knowledge Management. Cham: Springer. https://doi.org/10.1007/978-3-031-43471-6_13 |
Predictive Analytics intelligent decision-making framework and testing it through sentiment analysis on Twitter data.Azeroual, O., Nacheva, R., Nikiforova, A., Störl, U., & Fraisse, A. (2023).Predictive Analytics intelligent decision-making framework and testing it through sentiment analysis on Twitter data. CompSysTech '23: Proceedings of the 24th International Conference on Computer Systems and Technologies, 2023, 42-53. https://doi.org/10.1145/3606305.3606309 |
10 Ethical Dimensions of Research Information Management: A New Challenge for Information Professionals.Schöpfel, J., & Azeroual, O. (2023).10 Ethical Dimensions of Research Information Management: A New Challenge for Information Professionals. In M. C. Fombad, C. T. Chisita, O. B. Onyancha, & M. K. Minishi-Majanja (Hrsg.), Information Services for a Sustainable Society: Current Developments in an Era of Information Disorder (S. 150-165). Berlin, Boston: De Gruyter Saur. https://doi.org/10.1515/9783110772753-012 |
Overlooked Aspects of Data Governance: Workflow Framework For Enterprise Data Deduplication.Azeroual, O., Nikiforova, A., & Sha, K. (2023).Overlooked Aspects of Data Governance: Workflow Framework For Enterprise Data Deduplication. 2023 International Conference on Intelligent Computing, Communication, Networking and Services (ICCNS), Valencia, Spain, 19-22 June 2023., 65-73. https://doi.org/10.1109/ICCNS58795.2023.10193478 |
Elastic Stack and GRAPHYP Knowledge Graph of Web Usage: A Win–Win Workflow for Semantic Interoperability in Decision Making.Azeroual, O., Fabre, R., Störl, U., & Qi, R. (2023).Elastic Stack and GRAPHYP Knowledge Graph of Web Usage: A Win–Win Workflow for Semantic Interoperability in Decision Making. Future Internet, 2023, 15(6), 190. https://doi.org/10.3390/fi15060190 |
Supporting research information management: overcoming the inherent culture gap between traditional library ethics and the management of CRIS systems.Azeroual, O., & Schöpfel, J. (2023).Supporting research information management: overcoming the inherent culture gap between traditional library ethics and the management of CRIS systems. In D. Baker, L. Ellis, C. Williams, & C. Wragg (Hrsg.), Benchmarking Library, Information and Education Services: New Strategic Choices in Challenging Times (S. 281-294). Cambridge, United States: Chandos Publishing. https://doi.org/10.1016/B978-0-323-95662-8.00017-5 |
NoSQL Security: Can My Data-driven Decision-making Be Influenced from Outside?Nikiforova, A., Daskevics, A., & Azeroual, O. (2023).NoSQL Security: Can My Data-driven Decision-making Be Influenced from Outside? In A. Visvizi, O. Troisi, & M. Grimaldi (Hrsg.), Big Data and Decision-Making: Applications and Uses in the Public and Private Sector (Emerald Studies in Politics and Technology) (S. 59-73). Bingley: Emerald Publishing Limited. https://doi.org/10.1108/978-1-80382-551-920231005 |
Presentations
List of presentations & conferences
Smart Data Stewardship: Innovating Governance and Quality with AI.Azeroual, O. (2024, November).Smart Data Stewardship: Innovating Governance and Quality with AI. Vortrag auf der Konferenz 16th International Conference on Knowledge Management and Information Systems (KMIS 2024), Porto, Portugal. Abstract
In the modern digital landscape, data plays a crucial role in the competitiveness and efficiency of organizations. Data governance, which involves managing and ensuring data quality, faces increasing challenges due to the growing volumes and complexities of data. This paper examines how artificial intelligence (AI) offers innovative solutions for optimizing data governance and data quality. We present an AI-powered framework that includes components such as data integration, quality assurance, data protection monitoring, and compliance management. Through case studies and practical examples, we demonstrate how this framework can be implemented in real-world environments and the benefits it offers. |
Empowering IT-Supported Research Management: Leveraging Data Science Methods for Informed Decisions.Azeroual, O. (2024, Oktober).Empowering IT-Supported Research Management: Leveraging Data Science Methods for Informed Decisions. Vortrag auf der Konferenz 3rd International Conference on Digitalization and Management Innovation (DMI2024), Beijing Wuzi University and Xiangnan University, Beijing,, China. Abstract
In today’s research management, integrating Information Technology (IT) and data science enhances decision-making. This paper explores the role of IT-supported systems, like Research Information Systems (RIS), in leveraging data science for informed decisions. It highlights the importance of merging IT infrastructure with advanced analytics to enable data-driven insights and optimize management strategies. Through literature reviews and case studies, the paper shows how RIS empowers organizations to utilize data science effectively. Additionally, it discusses challenges, opportunities, and future directions for advancing IT-supported research management practices. |
A Decision Model for IT-Supported Research Management Based on Cutting-Edge Data Science Technologies.Azeroual, O. (2024, September).A Decision Model for IT-Supported Research Management Based on Cutting-Edge Data Science Technologies. Vortrag auf der Konferenz 3rd World Conference on Information Systems for Business Management (ISBM 2024), Bangkok, Thailand. |
Pour une éthique de l'IA dans le domaine de l'évaluation de la recherche.Azeroual, O., & Schöpfel, J. (2024, Juni).Pour une éthique de l'IA dans le domaine de l'évaluation de la recherche. Vortrag auf dem Seminar Anniversary Seminar of the International Thematic Network for Ethics in Human Sciences, le "Réseau Thématique International sur l’Ethique en SHS"!, Ecole Doctorale SHS, Geriico, iSchool, l’Université de Lille en coopération avec l’UNESP - São Paulo State University, Brazil & University of León, Spain et du Groupe sur l’Éthique et le Numérique en Information - Communication (GENIC) de la SFSIC, Lille, Frankreich. Abstract
Our study examines the importance of ethical considerations related to the use of artificial intelligence (AI) in research evaluation. The theme underscores the need to integrate ethical principles into the development and application processes of AI algorithms to ensure fair, transparent, and unbiased evaluations. It highlights the potential risks and challenges associated with the use of AI in research evaluation and proposes measures to mitigate these risks. The goal is to establish guidelines and best practices that promote the responsible use of AI in research evaluation and ensure the integrity of the evaluation process. |
Data Mesh for Managing Complex Big Data Landscapes and Enhancing Decision Making in Organizations.Azeroual, O., & Nacheva, R. (2023, November).Data Mesh for Managing Complex Big Data Landscapes and Enhancing Decision Making in Organizations. Vortrag auf der Konferenz 15th International Conference on Knowledge Management and Information Systems (KMIS), 13 - 15 November, 2023, Rome, Italy. https://doi.org/10.5220/0012195700003598 |
Research information in the light of artificial intelligence: quality and data ecologies.Azeroual, O., & Koltay, T. (2023, Oktober).Research information in the light of artificial intelligence: quality and data ecologies. Vortrag auf der Konferenz 16th International Conference Education and Research in the Information Society (ERIS2023), Plovdiv, Bulgaria. |
Nacaps Hochschul-Workshop.Adrian, D., Teichmann, C., & Briedis, K. (2022, November).Workshop Nacaps Hochschul-WorkshopZweitägiger Workshop mit Vertreter*innen der mit Nacaps kooperierenden Hochschulen aus ganz Deutschland. Themen waren organisatorische Fragen rund um vergangene und anstehende Befragungen, zentrale Ergebnisse, Diskussionen rund um #IchBinHanna und das Wissenschaftszeitvertragsgesetzt sowie die Benutzung und Weiterentwicklung des Nacaps-Datenportals, DZHW / Nacaps, Hannover. |
Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness.Azeroual, O. (2022, Oktober).Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness. Vortrag auf der Konferenz 14th International Conference on Knowledge Management and Information Systems (KMIS/IC3K), October 24-26, 2022, Valletta, Malta. |
IT-gestützte Forschungsberichterstattung als neues Berufs- und Aufgabenfeld - Kompetenzerfassung und -modellierung.Thiedig, C., Petersohn, S., & Azeroual, O. (2021, Oktober).Workshop IT-gestützte Forschungsberichterstattung als neues Berufs- und Aufgabenfeld - Kompetenzerfassung und -modellierung im Rahmen der Jahrestagung FORTRAMA e.V. 2021, FORTRAMA, Potsdam. |
Rewarding Research Data Management.Schöpfel, J., & Azeroual, O. (2021, April).Rewarding Research Data Management. Vortrag auf dem Workshop Sci-K – 1st International Workshop on Scientific Knowledge Representation, Discovery, and Assessment in conjunction with The Web Conference (WWW) 2021, Apr 19–23, 2021, https://sci-k.github.io, Ljubljana, Slovenia. |
KDSF-Datenmodell: Vorstellung und Abgleich mit CERIF.Azeroual, O. (2019).Workshop KDSF-Datenmodell: Vorstellung und Abgleich mit CERIF. Vortrag 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, 30.09.2019, Berlin, Deutschland. |
