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When history matters: assessing reliability for the reuse of scientific workflows

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  • José Manuel Gómez-pérez
  • Esteban García-cuesta
  • Aleix Garrido
  • José Enrique Ruiz
  • Jun Zhao
  • Graham Klyne
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Publication date2013
Host publicationThe semantic web – ISWC 2013: 12th International Semantic Web Conference, Sydney, NSW, Australia, October 21-25, 2013, Proceedings, Part II
Place of PublicationBerlin
PublisherSpringer Verlag
Pages81-97
Number of pages17
ISBN (Electronic)9783642413384
ISBN (Print)9783642413377
<mark>Original language</mark>English

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume8219
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Abstract

Scientific workflows play an important role in computational research as essential artifacts for communicating the methods used to produce research findings. We are witnessing a growing number of efforts that treat workflows as first-class artifacts for sharing and exchanging scientific knowledge, either as part of scholarly articles or as stand-alone objects. However, workflows are not born to be reliable, which can seriously damage their reusability and trustworthiness as knowledge exchange instruments. Scientific workflows are commonly subject to decay, which consequently undermines their reliability over their lifetime. The reliability of workflows can be notably improved by advocating scientists to preserve a minimal set of information that is essential to assist the interpretations of these workflows and hence improve their potential for reproducibility and reusability. In this paper we show how, by measuring and monitoring the completeness and stability of scientific workflows over time we are able to provide scientists with a measure of their reliability, supporting the reuse of trustworthy scientific knowledge