Data space initiatives, including Gaia-X and the European Health Data Space (EHDS)
regulation proposal, aim to establish a decentralized infrastructure for data exchange …

With the proliferation of data and advanced analytics, organizations are increasingly
recognizing the potential value of sharing data across organizational boundaries. However …

Technical coordination between organizations and security concerns are among the major
barriers to data sharing. Data spaces are an emerging digital infrastructure that helps …

Data spaces are a novel data management approach to collect large-scale heterogeneous
data distributed over various data sources in different formats. To access these data spaces …

To effectively mitigate climate change, policymakers worldwide established various GHG
tracking and trading systems. In the light of ambitious climate goals, stricter regulations, and …

Data spaces have gained increasing attention, as they allow federated data sharing among
and within participants of interoperable data spaces, for the benefit of all. However, data …

Data-driven business models imply the inter-organisational exchange of data or similar
value objects. Data science methods enable organisations to discover patterns and …

Ecosystems have the promising potential to respond to economic but also environmental
and social challenges, such as by enabling circular thinking, establishing fair supply chains …

Abstract Information gaps are one of the significant barriers to a flourishing circular economy
(CE). Information systems (IS) are implemented to overcome these gaps as part of …

In an era of data-driven decision-making, organizations increasingly build data ecosystems
to share and capitalize on data within their ecosystem. With the advent of various initiatives …