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Author Bose, Rajendra ♦ Frew, James
Source ACM Digital Library
Content type Text
Publisher Association for Computing Machinery (ACM)
File Format PDF
Copyright Year ©2005
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Data lineage ♦ Audit ♦ Data provenance ♦ Scientific data ♦ Scientific workflow
Abstract Scientific research relies as much on the dissemination and exchange of data sets as on the publication of conclusions. Accurately tracking the lineage (origin and subsequent processing history) of scientific data sets is thus imperative for the complete documentation of scientific work. Researchers are effectively prevented from determining, preserving, or providing the lineage of the computational data products they use and create, however, because of the lack of a definitive model for lineage retrieval and a poor fit between current data management tools and scientific software. Based on a comprehensive survey of lineage research and previous prototypes, we present a metamodel to help identify and assess the basic components of systems that provide lineage retrieval for scientific data products.
ISSN 03600300
Age Range 18 to 22 years ♦ above 22 year
Educational Use Research
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-03-01
Publisher Place New York
e-ISSN 15577341
Journal ACM Computing Surveys (CSUR)
Volume Number 37
Issue Number 1
Page Count 28
Starting Page 1
Ending Page 28


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Source: ACM Digital Library