This session explores practical approaches for understanding and furthering many aspects of geospatial data stewardship such as defining elements of data quality; tracking provenance, workflows, added value, and credit through the data lifecycle; scaling of complex processes; and ultimately making scientific data more usable for a larger and more diverse user community. This is explored through the lens of cyberGIS, which has emerged from the realm of the desktop and the isolated, on-premise server to that of more pervasive, distributed computing, including high-performance grid computing and the cloud. Crucial to CyberGIS as an engine of data stewardship is its evolving capability to natively interoperate with a range of data formats, to digest their key metadata and spatio-temporal boundaries, and to expose and disseminate GIS services, data feeds, and related information products.