Decoding Open Data Intermediation Business Models

More than Just a Bridge

Doctoral Thesis (2025)
Author(s)

Ashraf Shaharudin (TU Delft - Urban Data Science)

Contributor(s)

M.F.W.H.A. Janssen – Promotor (TU Delft - Information and Communication Technology)

B. van Loenen – Promotor (TU Delft - Urban Data Science)

Research Group
Urban Data Science
DOI related publication
https://doi.org/10.71690/abe.2025.22
More Info
expand_more
Publication Year
2025
Language
English
Research Group
Urban Data Science
Bibliographical Note
A+BE | Architecture and the Built Environment No 22 (2025)@en
ISBN (print)
978-94-6518-186-8
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

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.