Implementing Data Provenance In Health Data Analytics Software

Data provenance is a technique that describes the history of digital objects. In health applications, it can be used to deliver auditability and transparency, leading to increased trust in software. When implementing provenance in end-user scenarios, on top of standard provenance requirements, it is important to properly contextualize the provenance features within the domain and ensure their usability. We have developed a novel user interface, embedded into Imolytics data analysis tool and based on our Provenance Template technology, to help the end-user consume provenance information. In this demonstration, we shall demonstrate how the interface can be used to examine the audit trail of analysis results to spot when the two analytical methods start producing different results. In addition to the novel provenance UI, this is the first implementation of standard-based data provenance in a commercial data analytics software tool.