Dataset and feature-level provenance integration for spatial datasets

Abstract

Large, multi-agency projects such as the Foundational Spatial Data Framework are interested in capturing the provenance of their spatial datasets as they are processed and combined to form products. Additionally, work is underway at the CRC for Spatial Information and elsewhere to track the provenance of the production of individual elements (features) within spatial datasets.How can we reconcile these provenance situations, given the different levels of granularity? Can we relate the provenance from lower-level systems to higher levels? Can we use common tools and methodologies? This paper and talk present provenance modelling work that has taken place at Geoscience Australia and CSIRO to solve these issues. The differing levels of granularity can berelated however, for interoperability, a standard must be used and we've used PROV. Show more