Empowering Data Sovereignty: Strategies of Data Intermediaries in Data Ecosystems

Abstract

This study delves into the intricacies of data control mechanisms within (personal) data ecosystems, with the goal of attaining a harmonious balance in data sovereignty between individuals and data providers, facilitated by data intermediaries. Employing a multiple-case study analysis involving eleven data intermediaries, the research utilizes axial coding and triangulation with existing literature to identify dimensions of the novel Taxonomy of Data Control Mechanisms for data intermediaries. These dimensions encompass three meta-dimensions: data access control, power dynamics, and revenue sharing models. These meta-dimensions consist of eight dimensions that can be harmonized to achieve equilibrium in data sovereignty between data subjects and providers. This research contributes to both theoretical comprehension and practical implementation in navigating the complexities of data sovereignty within dynamic data ecosystems.