Management of collaborations in digital marketplaces

Abstract

With everyone generating value out of data, our work focuses to distributed data trading platforms, Digital Market Places (DMPs), that can handle the intricacies of data sharing, e.g. how, where, and what can be done with the traded data. Here we represent collaborations among involving parities in DMPs in the form of archetypes and model them with numeric representations for easier manipulation with standard mathematical tools. We also develop a methodology which aims to select a best-fit infrastructure archetype with any customer-defined application request. In addition, we propose multiple metrics which allows evaluate and compare competing DMPs systemically from more dimensions: coverage, extensibility, precision and flexibility.