Title
A provenance model for manually curated data
Abstract
Many curated databases are constructed by scientists integrating various existing data sources “by hand”, that is, by manually entering or copying data from other sources. Capturing provenance in such an environment is a challenging problem, requiring a good model of the process of curation. Existing models of provenance focus on queries/views in databases or computations on the Grid, not updates of databases or Web sites. In this paper we motivate and present a simple model of provenance for manually curated databases and discuss ongoing and future work.
Year
DOI
Venue
2006
10.1007/11890850_17
IPAW
Field
DocType
Volume
Data mining,Data modeling,Annotation,Database query,Computer science,Copying,Provenance,Workflow,Database,Grid,Web site
Conference
4145
ISSN
ISBN
Citations 
0302-9743
3-540-46302-X
19
PageRank 
References 
Authors
0.92
17
4
Name
Order
Citations
PageRank
Peter Buneman146151996.40
Adriane Chapman238227.65
James Cheney338234.37
Stijn Vansummeren466745.68