Implementing data provenance in health data analytics software

Shen Xu, Elliot Fairweather, Toby Rogers, Vasa Curcin*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProvenance and Annotation of Data and Processes - 7th International Provenance and Annotation Workshop, IPAW 2018, Proceedings
EditorsKhalid Belhajjame, Ashish Gehani, Pinar Alper
PublisherSpringer Verlag
Pages173-176
Number of pages4
ISBN (Print)9783319983783
DOIs
Publication statusPublished - 1 Jan 2018
Event7th International Provenance and Annotation Workshop, IPAW 2018 - London, United Kingdom
Duration: 9 Jul 201810 Jul 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11017 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Provenance and Annotation Workshop, IPAW 2018
Country/TerritoryUnited Kingdom
CityLondon
Period9/07/201810/07/2018

Keywords

  • Data provenance
  • System demo

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