Data Citation: A New Provenance Challenge

In today’s era of big data-driven science, an increasing amount of information is being published as curated online databases and retrieved by queries, raising the question of how query results should be cited. Because it is infeasible to associate citation information with every possible query, one approach is to specify citations for a small set of frequent queries – citation views – and then use these views to construct a citation for general queries. In this paper, we describe this model of citation views, how they are used to construct citations for general queries, and an efficient approach to implementing this model. We also show the connection between data citation and data provenance.