A survey of provenance in scientific workflow

The automation of data analysis in the form of scientific workflows has become a widely adopted practice in many fields of research. Data-intensive experiments using workflows enabled automation and provenance support, which contribute to alleviating the reproducibility crisis. This paper investigat...

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Bibliographic Details
Published inJournal of high speed networks Vol. 29; no. 2; pp. 129 - 145
Main Authors Lin, Songhai, Xiao, Hong, Jiang, Wenchao, Li, Dafeng, Liang, Jiaben, Li, Zelin
Format Journal Article
LanguageEnglish
Published London, England SAGE Publications 01.01.2023
IOS Press BV
Subjects
Automation
Cryptography
Data analysis
New technology
Workflow software
Provenance
blockchain
scientific workflows
provenance model
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Summary:The automation of data analysis in the form of scientific workflows has become a widely adopted practice in many fields of research. Data-intensive experiments using workflows enabled automation and provenance support, which contribute to alleviating the reproducibility crisis. This paper investigates the existing provenance models as well as scientific workflow applications. Furthermore, here we not only summarize the models at different levels, but also compare the applications, particularly the blockchain applied to the provenance in scientific workflows. After that, a new design of secure provenance system is proposed. Provenance that would be enabled by the emerging technology is also discussed at the end.
ISSN:0926-6801
1875-8940
DOI:10.3233/JHS-222017