Decoding Open Data Intermediation Business Models: More than Just a Bridge

Open data intermediaries are crucial for the sustainability (i.e., long-term durability) of the open data ecosystem (ODE). They enhance the access to and the (re-)use of open data and connect other open data actors. Additionally, open data intermediaries play a role in mitigating information asymmetry between actors. However, despite the importance of open data intermediaries in the ODE having been widely acknowledged in research and practice, studies on open data intermediation business models are limited. This knowledge is essential to better understand the role of open data intermediaries within the ODE and provide recommendations to develop their business models in such a way that they support the overall sustainability of the ODE.

Through various methods, including case studies of Esri and OpenStreetMap, this dissertation advances the understanding of open data intermediaries, their position within the ODE, and their business models. In particular, this dissertation theoretically contributed to the definition of open data intermediaries, potential contributions of open data intermediaries, and the archetypes of open data intermediation business models. It also identified practical aspects to consider in developing open data intermediation business models that contribute to a sustainable ODE, ultimately enhancing the generation of open data value. This value, in turn, can be leveraged to foster innovation, promote economic well-being, and address pressing social and environmental challenges.