Dr.-Ing. Otmane Azeroual
Dr.-Ing. Otmane Azeroual is a highly qualified expert in the field of data science and artificial intelligence. With a strong academic background and extensive experience in applied research, he has made a name for himself as a leading professional in his industry. He has worked in senior positions in research institutions and companies and has been significantly involved in the development of innovative AI solutions. He is known for his ability to analyze complex problems, develop innovative solutions and achieve breakthrough results.
Dr.-Ing. Azeroual holds a PhD in computer science with a focus on databases, information systems, data science and artificial intelligence. His academic career includes both study and research at renowned institutions worldwide. His research has led to significant discoveries in the fields of databases, big data, data quality management and artificial intelligence and has been published in leading journals and conferences.
Dr.-Ing. Azeroual is actively involved in the AI community and is a sought-after speaker at conferences and events. He shares his knowledge and experiences through publications, lectures and workshops, contributing to the growth and development of the field of artificial intelligence.
Dr.-Ing. Otmane Azeroual is an outstanding personality in the field of artificial intelligence, who impresses with his extensive knowledge, his professional expertise and his commitment to innovation and progress. His work has a significant impact on the development of AI technologies and their applications in various areas.
Dr.-Ing. Azeroual holds a PhD in computer science with a focus on databases, information systems, data science and artificial intelligence. His academic career includes both study and research at renowned institutions worldwide. His research has led to significant discoveries in the fields of databases, big data, data quality management and artificial intelligence and has been published in leading journals and conferences.
Dr.-Ing. Azeroual is actively involved in the AI community and is a sought-after speaker at conferences and events. He shares his knowledge and experiences through publications, lectures and workshops, contributing to the growth and development of the field of artificial intelligence.
Dr.-Ing. Otmane Azeroual is an outstanding personality in the field of artificial intelligence, who impresses with his extensive knowledge, his professional expertise and his commitment to innovation and progress. His work has a significant impact on the development of AI technologies and their applications in various areas.
less
InterestsView All (24)
Uploads
IJCSIS Papers by Dr.-Ing. Otmane Azeroual
Papers by Dr.-Ing. Otmane Azeroual
tions, mobility and financing, the portal offers an overview of the life and work reality of doctoral students in Germany. Survey data is prepared in the data portal so that it can be used at a low threshold. Since the data is made available free of charge in open and reusable formats without restrictions, it can be used by researchers and the public alike. At the same time, the portal offers cooperating partner universities university-specific reporting on the data of doctoral students at their institution in a protected space. The possible further development and effective use of the Nacaps data portal for the management of open survey data will be
discussed. In particular, the quality of open survey data as well as the potential and special features of the Nacaps data portal when visualizing survey data are discussed.
of data. At the same time, they pose a prerequisite for data for their reliability, trustworthiness, and quality. In this sense, the importance of applying FAIR principles to research information and respective
systems such as Current Research Information Systems (CRIS), which is an underrepresented subject for research, is the subject of the paper. Supporting the call for the need for a ”one-stop-shop and register-onceuse-many approach”, we argue that CRIS is a key component of the research infrastructure landscape, directly targeted and enabled by operational application and the promotion of FAIR principles. We hypothesize that the improvement of FAIRness is a bidirectional process, where CRIS promotes FAIRness of data and infrastructures, and FAIR principles push further improvements to the underlying CRIS.
tions, mobility and financing, the portal offers an overview of the life and work reality of doctoral students in Germany. Survey data is prepared in the data portal so that it can be used at a low threshold. Since the data is made available free of charge in open and reusable formats without restrictions, it can be used by researchers and the public alike. At the same time, the portal offers cooperating partner universities university-specific reporting on the data of doctoral students at their institution in a protected space. The possible further development and effective use of the Nacaps data portal for the management of open survey data will be
discussed. In particular, the quality of open survey data as well as the potential and special features of the Nacaps data portal when visualizing survey data are discussed.
of data. At the same time, they pose a prerequisite for data for their reliability, trustworthiness, and quality. In this sense, the importance of applying FAIR principles to research information and respective
systems such as Current Research Information Systems (CRIS), which is an underrepresented subject for research, is the subject of the paper. Supporting the call for the need for a ”one-stop-shop and register-onceuse-many approach”, we argue that CRIS is a key component of the research infrastructure landscape, directly targeted and enabled by operational application and the promotion of FAIR principles. We hypothesize that the improvement of FAIRness is a bidirectional process, where CRIS promotes FAIRness of data and infrastructures, and FAIR principles push further improvements to the underlying CRIS.