Large, generalist, technology firms—so-called "big-tech" firms—powerful in their primary market, routinely enter secondary markets consisting of specialist firms. Naturally, one might expect a specialist firm to be fiercely protective of its data as a way to maintain its market position in...

The problem addressed in this paper is how to ensure data privacy concerns when data is shared between multiple organisations. In domains such as healthcare, there is a need to share privacy-sensitive data among autonomous but cooperating organisations. However, security concerns and compliance...

We live in a time of increasing publication rates and specialization of scientific disciplines. More and more, the research community is facing the challenge of assuring the quality of research and maintaining trust in the scientific enterprise. Replication studies are necessary to detect...

In the New England Journal of Medicine, Longo and Drazen critically assessed the concept of data sharing. Their main concern is that a "new class of research person will emerge" that uses data, which were gathered by other researchers, for their own original research questions. The authors...

Data as a resource and data sharing enable competitive supply chains and present-day digital platform business models. The recipe for these competitive supply chains will no longer be contingent on how different companies contract to share data in their existing business networks but how these...

Digital platforms are at the heart of online economic activity, connecting multi-sided markets of producers and consumers of various goods and services. Their market power and their privileged ecosystem positions raise concerns that they may engage in anti-competitive practices that reduce...

Many firms hesitate to share data via a Trusted Third Party (TTP) due to the risk of exposing sensitive information to competitors. Multi-party computation (MPC) is a cryptographic technology that removes the need for TTPs in data sharing, as it allows conducting computations without having to...

The rise of digital platforms necessarily entails the processing of personal data between platforms and their users. More than enabling the delivery of services by the platforms, data shared by users has increasingly become valuable as various businesses are able to leverage their access to data...

The 4th industrial revolution must be approached from the perspective of industrial ecosystem in order to lead to industrial reorganization facing after deindustrialization. This is because, as the characteristics of agriculture and manufacturing differ, the basic characteristics of industries...

Algorithmic learning gives rise to a data-driven network effects, which allow a dominant platform to reinforce its dominant market position. Data-driven network effects can also spill over to related markets and thereby allow to leverage a dominant position. This has led policymakers to propose...