Software and Data Provenance as a Basis for eScience Workflow

Conquest, Joseph; Stiber, Michael

doi:10.1109/escience51609.2021.00043

Cited by 1 publication

(1 citation statement)

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“…Provenance establishes the relationships between the artifacts associated with a given set of simulations, including the software execution, the interrelationships between different software versions, the simulation parameters, and the input and output data. By providing data and software provenance, scientists can not only determine accurate experimental conditions from previous simulations, thus increasing confidence in the results, but also detect when outputs may be erroneous due to bugs [Conquest and Stiber 2021].…”

Section: Introductionmentioning

confidence: 99%

Towards a graphical tool for modeling scientific workflows’ provenance according to the W3C PROV standard

Vieira

Carvalho

2022

Anais Do XVI Brazilian E-Science Workshop (BRESCI 2022)

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Provenance makes it possible to describe information about the steps involved in the production of a piece of data and allows an assessment of its quality, reliability, or credibility. When it comes to scientific workflows, provenance establishes the relationships between the artifacts associated with a given set of simulations and can be used to enable: (i) their sharing with the scientific community, (ii) the reproducibility of the results, or (iii) the evaluation of erroneous outputs. This paper presents the work in progress towards building a graphical provenance modeling tool conforming to the W3C PROV standard and following Model-Driven Engineering (MDE) concepts. The modeling tool can be used to model scientific workflows' provenance, enabling, for instance, their visual representation, reproducibility, and sharing.

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Section: Introductionmentioning

confidence: 99%