Geospatial researchers often spend much time wrangling data in their workflows. These data wrangling processes are typically ad-hoc, involving a mix of desktop, interactive computing, and HPC tools, requiring data to be transferred from one platform to another. Notwithstanding the time spent away from doing research, these processes become hard to maintain amidst research group turnovers, ultimately affecting research reproducibility. GeoEDF is designed to address these challenges by enabling researchers to conceive their workflows as an abstract sequence of data acquisition and processing operations. Reusable workflow building blocks (namely, data connectors and data processors) implement suitably generalized data acquisition and processing operations that can be composed into concrete workflows. The GeoEDF workflow engine plans and executes these workflows in HPC environments, abstracting away the complexities of intermediate data transfer, HPC job scheduling, and parallelization.

In this webinar, we will provide an overview of the GeoEDF project and its implementation, GeoEDF workflow syntax and semantics, and the cyberinfrastructure platforms that can currently be used to develop and execute GeoEDF workflows. We will demonstrate data connectors and processors through examples from I-GUIDE convergence science use cases and discuss GeoEDF integration pathways with other cyberinfrastructure platforms.