Earth, space, and environmental scientists are pushing the boundaries of human understanding of our complex world. They seek and use larger and more varied data in their research with a growing need for data integration and synthesis across and among scientific domains. Tools, services, and data skills are critical resources to the research ecosystem in order to enable the harmonization and integration of data with different temporal and spatial ranges. This session explores the challenges, successes, and best practices the data community has for using data from multiple sources and scientific domains with unfamiliar formats, vocabularies, quality, and uncertainty, or in providing support and services for accessing these data. We seek submissions from the community of data producers, enablers, researchers, and users on methods for identifying and communicating best practices, challenges in this diverse data environment, and for building critical data skills related to data integration and data management.
Co-sponsored by AGU