Enabling Cloud-Based Open Science using Earth Observation Data

The Socioeconomic Data and Applications Center (SEDAC), one of NASA’s Distributed Active Archive Centers (DAACs), supports the integration of socioeconomic and earth science data and serves as an "Information Gateway" between earth sciences and social sciences. SEDAC is in the process of migrating its geospatial data archive to NASA’s cloud-based Earthdata GIS, where it will be available as standards-based services ready to use in GIS with NASA earth science data from other DAACs. While access to data and services is key to enabling global system research, it is not sufficient to simply build a system and expect successful uptake: domain-based examples of data use are required to demonstrate techniques and methods to integrate local data, Earthdata GIS services, and other cloud-based data in data analysis workflows. As part of the NASA Transform to Open Science (TOPS) mission, the Science Core Heuristics for Open science Outcomes in Learning (SCHOOL) project is developing open modules in the water resources, health and air quality, environmental justice, disasters, wildfires, climate, and agriculture domains. Population and infrastructure data are an overarching theme that will be integrated in all modules. These online, open modules include sample code (Python and R) that demonstrate the data science life cycle, and will be published in both English and Spanish. The presentation will give an overview of the system architectures being implemented, describe the use cases for the domain modules, and show a completed code example.