Title

Monetizing Personal Data: A Two-Sided Market Approach

Document Type

Conference Proceeding

Source of Publication

Procedia Computer Science

Publication Date

1-1-2016

Abstract

© 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.

ISSN

1877-0509

Publisher

Elsevier

Volume

83

First Page

472

Last Page

479

Disciplines

Business | Medicine and Health Sciences

Keywords

Data pricing, Data quality, Demand curve, Mobile phone sensing, Personal data monetization, Supply curve, Two-sided market

Scopus ID

84971300512

Indexed in Scopus

yes

Open Access

yes

Open Access Type

Gold: This publication is openly available in an open access journal/series

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