With the proliferation of database views and curated data- bases, the issue of
data provenance - where a piece of data came from and the process by which it arrived in the database - is becoming increasingly important,
especially in scientific databases where understanding provenance is crucial to the accuracy and currency of data. In this
paper we describe an approach to computing provenance when the data of interest has been created by a database query. We adopt
a syntactic approach and present results for a general data model that applies to relational databases as well as to hierarchical
data such as XML. A novel aspect of our work is a distinction between “why” provenance (refers to the source data that had
some influence on the existence of the data) and “where” provenance (refers to the location(s) in the source databases from
which the data was extracted).
Supported in part by an Alfred P. Sloan Research Fellowship.