  We describe an architecture for a decentralised data market for applications
in which agents are incentivised to collaborate to crowd-source their data. The
architecture is designed to reward data that furthers the market's collective
goal, and distributes reward fairly to all those that contribute with their
data. We show that the architecture is resilient to Sybil, wormhole, and data
poisoning attacks. In order to evaluate the resilience of the architecture, we
characterise its breakdown points for various adversarial threat models in an
automotive use case.
