To Trust or Not to Trust? Developing Trusted Digital Spaces through Timely Reliable and Personalized Provenance

Organizations are increasingly dependent on data stored and processed by distributed, heterogeneous services to make
critical, high-value decisions. However, these service-oriented computing environments are dynamic in nature and are becoming
ever more complex systems of systems. In such evolving and dynamic eco-system infrastructures, knowing how data was derived
is of significant importance in determining its validity and reliability. To address this, a number of advocates and theorists postulate
that provenance is critical to building trust in data and the services that generated it as it provides evidence for data consumers to
judge the integrity of the results. This paper presents a summary of the STRAPP (trusted digital Spaces through Timely Reliable
And Personalised Provenance) project, which is designing and engineering mechanisms to achieve a holistic solution to a number
of real-world service-based decision-support systems.