Contract-based Data-Driven Decision Making in Federated Data Ecosystems

Abstract

The data-driven economy on the World Wide Web are based on coordination mechanisms for the exchange of and AI-based processing of data sets created by independent actors. Architectures for data-driven economic systems currently focus on the exchange of datasets and leave the processing of datasets to background mechanisms. Without binding commitments, agents in data sharing situations favor the ”no data sharing” strategy. We present a broker framework that facilitates contract-based exchange, trading, and processing of data sets between agents under conditions of ”lack of trust”. Electronic contracts guarantee ownership and control of data datasets, the execution of defined data analysis tasks based on AI models, and the sharing of results according to contractual commitments. A technical architecture (TUCANA) is presented that provides a federated data economic ecosystem including a broker framework. We present an application based on an implementation of TUCANA.