Data Management for Ground-Based Science Surveys at CASU

 In this talk I will review the data management facilities  at CASU for handling large scale ground-based imaging and spectroscopic surveys. The overarching principle for all science data processing at CASU is to provide an end-to-end system that attempts to deliver fully calibrated optimally extracted data products ready for science use.  The talk will outline our progress in achieving this and how end users visualize the state-of-play of the data processing and interact with the final products via our internal data repository.