Komadu: A Capture and Visualization System for Scientific Data Provenance. Issue 1 (30th March 2015)

• Record Type: Journal Article
• Authors: Suriarachchi, Isuru; Zhou, Quan (Gabriel); Plale, Beth
• Is Part Of: Journal of open research software. Volume 3:Issue 1(2015)
• Publication Date: 2015-03-30
• Subjects: Data provenance -- Data Lineage -- Visualization -- Komadu; Computer software -- Reusability -- Periodicals; Open source software -- Periodicals; 005
• DOI: 10.5334/jors.bq
• Languages: English
• ISSNs: 2049-9647

Abstract

Data provenance captured from scientific applications is a critical precursor to data sharing and reuse. For researchers wanting to repurpose data, it is a source of information about the lineage and attribution of the data and this is needed in order to establish trust in a data set. Komadu is a standalone provenance capture and visualization system for capturing, representing, and manipulating provenance coming from scientific tools, infrastructures, and repositories. It uses the W3C PROV standard [1 ] in representing data, and it is the successor of the Karma [2 ] provenance capture system which was based on Open Provenance Model (OPM) [3 ]. Komadu comes with two different interfaces: a Web Services interface based on Apache Axis2 [4 ] and a messaging interface based on RabbitMQ [5 ]. Komadu is completely open source and the source code is publicly available on GitHub [6 ]. Even though Komadu has been used most extensively in relation to scientific research, its interfaces are designed to collect and visualize provenance of any kind of application needing provenance.