Data Trading and Monetization: Challenges and Open Research Directions
International Conference on Future Networks and Distributed Systems (ICFNDS), pp. 344–351
Abstract
Traditional data monetization approaches face challenges related to data protection and logistics. In response, digital data marketplaces have emerged as intermediaries simplifying data transactions. Despite the growing establishment and acceptance of digital data marketplaces, significant challenges hinder efficient data trading. As a result, few companies can derive tangible value from their data, leading to missed opportunities in understanding customers, pricing decisions, and fraud prevention. In this paper, we explore both technical and organizational challenges affecting data monetization. Moreover, we identify areas in need of further research, aiming to expand the boundaries of current knowledge by emphasizing where research is currently limited or lacking.
Authors 5
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University of Koblenz and Landau · Universität Koblenz
Affiliation as printed
Institute of Software Engineering, University of Koblenz, Germany
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Fraunhofer Institute for Applied Information Technology · University Hospital Cologne
Affiliation as printed
Fraunhofer Institute for Applied Information Technology FIT, Germany and University Hospital of Cologne, Germany
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Affiliation as printed
College of Computing and Informatics, Saudi Electronic University, Kingdom of Saudi Arabia
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Fraunhofer Institute for Applied Information Technology · RWTH Aachen University
Affiliation as printed
Fraunhofer Institute for Applied Information Technology FIT, Germany and RWTH Aachen University, Germany
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Fraunhofer Institute for Software and Systems Engineering · Universität Koblenz
Affiliation as printed
University of Koblenz, Germany and Fraunhofer-Institute for Software and Systems Engineering ISST, Germany
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