Source of Publication
Procedia Computer Science
© 2016 The Authors. Mobile phone-based sensing is a new paradigm that aims at using smartpohnes to answer sensing requests and collect useful data. Nowadays, a wide variety of domains ranging from health-care applications to pollution monitoring are benefiting from such collected data. However, despite its increasing popularity and the huge amount of data provided by users, there is no platform where mobile phone owners can effectively sell their data. In this paper, we propose the idea of a data monetization platform using two-sided market theory. In this platform, the data is viewed as an economic good and the data sharing activity is considered as an economic transaction. The proposed platform considers the case of abundant data. An experimental analysis is conducted to compare our approach against the peer-to-peer model using a real case study from the health care domain. We show that our proposed platform has the potential to generate higher profit for both data providers and data consumers.
Business | Medicine and Health Sciences
Data pricing, Data quality, Demand curve, Mobile phone sensing, Personal data monetization, Supply curve, Two-sided market
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Bataineh, Ahmed Saleh; Mizouni, Rabeb; El Barachi, May; and Bentahar, Jamal, "Monetizing Personal Data: A Two-Sided Market Approach" (2016). All Works. 2436.
Indexed in Scopus
Open Access Type
Gold: This publication is openly available in an open access journal/series