Abstract
Data marketplaces have emerged to facilitate data trading through secure engagement and collaboration among actors, providing mechanisms similar to online marketplaces, such as connecting buyers with sellers and facilitating financial exchanges. The inherent complexity of data coupled with challenges related to marketplace integration hinder the realization of effective data trading mechanisms on data marketplaces. Moreover, the fragmentation of the data marketplace ecosystem necessitates data assets matching capabilities to enable the federation of different marketplaces. In this paper, we explore various similarity metrics for data assets and conceptualize how matching of data assets can be performed in a data marketplace. This can enhance tasks such as pricing advisory and revenue allocation on data marketplaces. This study is a step towards creating a reliable and equitable data trading environment.
Recommended Citation
Gupta, Samrat; Peliova, Jana; Sadhukhan, Payel; Kumar, Pradeep; Vasilakopoulou, Polyxeni; and Pappas, Ilias, "Conceptualizing Similarity Measurement in Data Marketplaces" (2025). UK Academy for Information Systems Conference Proceedings 2025. 10.
https://aisel.aisnet.org/ukais2025/10