A survey of data provenance in e-science

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A survey of data provenance in e-science (2005)

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by Yogesh L. Simmhan , Beth Plale , Dennis Gannon

Venue:	SIGMOD Record
Citations:	296 - 21 self

BibTeX

@ARTICLE{Simmhan05asurvey,
    author = {Yogesh L. Simmhan and Beth Plale and Dennis Gannon},
    title = {A survey of data provenance in e-science},
    journal = {SIGMOD Record},
    year = {2005},
    volume = {34},
    pages = {31--36}
}

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Abstract

Data management is growing in complexity as largescale applications take advantage of the loosely coupled resources brought together by grid middleware and by abundant storage capacity. Metadata describing the data products used in and generated by these applications is essential to disambiguate the data and enable reuse. Data provenance, one kind of metadata, pertains to the derivation history of a data product starting from its original sources. In this paper we create a taxonomy of data provenance characteristics and apply it to current research efforts in e-science, focusing primarily on scientific workflow approaches. The main aspect of our taxonomy categorizes provenance systems based on why they record provenance, what they describe, how they represent and store provenance, and ways to disseminate it. The survey culminates with an identification of open research problems in the field. 1.

Keyphrases

data provenance data product derivation history enable reuse provenance system main aspect abundant storage capacity open research problem grid middleware scientific workflow approach data management largescale application original source coupled resource data provenance characteristic current research effort

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