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

List of projects

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National Academics Panel Study (NACAPS)
Publications

List of publications

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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

Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS.

Azeroual, O., Schöpfel, J., Ivanovic, D., & Nikiforova, A. (2022).
Combining Data Lake and Data Wrangling for Ensuring Data Quality in CRIS. In M.-A. Sicilia, P. de Castro, S. Vancauwenbergh, E. Simons, & O. Ognjen (Hrsg.), 15th International Conference on Current Research Information Systems (S. 3-16). Dubrovnik, Croatia: Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.10.171

Research Information Systems and Ethics relating to Open Science.

Schöpfel, J., Azeroual, O., & de Castro, P. (2022).
Research Information Systems and Ethics relating to Open Science. In M.-A. Sicilia, P. de Castro, S. Vancauwenbergh, E. Simons, & O. Ognjen (Hrsg.), 15th International Conference on Current Research Information Systems (S. 36-46). Dubrovnik, Croatia: Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.10.174

Legal aspects and data protection in relation to the CRIS system.

Zendulková, D., & Azeroual, O. (2022).
Legal aspects and data protection in relation to the CRIS system. In M.-A. Sicilia, P. de Castro, S. Vancauwenbergh, E. Simons, & O. Ognjen (Hrsg.), 15th International Conference on Current Research Information Systems (S. 17-27). Dubrovnik, Croatia: Procedia Computer Science. https://doi.org/10.1016/j.procs.2022.10.172

Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness.

Azeroual, O., Schöpfel, J., Pölönen, J., & Nikiforova, A. (2022).
Putting FAIR Principles in the Context of Research Information: FAIRness for CRIS and CRIS for FAIRness. In J. Bernardino, E. Masciari, C. Rolland, & J. Filipe (Hrsg.), Proceedings of the 14th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management - KMIS, October 24-26, 2022, in Valletta, Malta (S. 63-71). Lisboa - Portugal: Institute for Systems and Technologies of Information, Control and Communication (INSTICC) - **Best Paper Award**. https://doi.org/10.5220/0011548700003335

Retrieving Adversarial Cliques in Cognitive Communities: A New Conceptual Framework for Scientific Knowledge Graphs.

Fabre, R., Azeroual, O., Bellot, P., Schöpfel, J., & Egret, D. (2022).
Retrieving Adversarial Cliques in Cognitive Communities: A New Conceptual Framework for Scientific Knowledge Graphs. Future Internet, 2022, 14(9), 262. https://doi.org/10.3390/fi14090262

Forschungsinformationssysteme und Ethik: eine doppelte Herausforderung.

Azeroual, O., & Schöpfel, J. (2022).
Forschungsinformationssysteme und Ethik: eine doppelte Herausforderung. Information – Wissenschaft & Praxis, 2022, 73(4), 179-186. https://doi.org/10.1515/iwp-2021-2208

Datenportal der National Academics Panel Study (Nacaps) - Ergebnisse der Promovierendenbefragungen 2019 bis 2021.

Gottwald, A., Azeroual, O., & Wegner, A. (2022).
Datenportal der National Academics Panel Study (Nacaps) - Ergebnisse der Promovierendenbefragungen 2019 bis 2021. Berlin: DZHW.
Presentations

List of presentations & conferences

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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

Effiziente Nutzung des Nacaps-Datenportals.

Adrian, D., & Azeroual, O. (2023, März).
Effiziente Nutzung des Nacaps-Datenportals. Vortrag auf dem Workshop 15. Workshop der Panelsurveys im deutschsprachigen Raum, Deutsches Institut für Wirtschaftsforschung (DIW), Berlin.

" Weiterentwicklung des Nacaps-Datenportals " .

Azeroual, O., & Wegner, A. (2022).
Workshop "Weiterentwicklung des Nacaps-Datenportals" im Rahmen des Nacaps-Workshops für die Partnerhochschulen, DZHW, Hannover.

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.

Proof of Concept to Secure the Quality of Research Data.

Azeroual, O. (2021, November).
Proof of Concept to Secure the Quality of Research Data. Vortrag auf der Konferenz 14th International Conference on Machine Vision (ICMV 2021), November 08-12, 2021, Rome, Italy.

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.

Ethics and CRIS.

Schöpfel, J., & Azeroual, O. (2021, September).
Ethics and CRIS. Vortrag im Rahmen des euroCRIS Webinar, https://eurocris.org/news/new-monthly-eurocris-webinar-ethics-and-cris-sep-30th.

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.

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. 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, 15.04.2019, 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.