Open Science
VirtualThis Cluster aims to build a robust community, equipped with best practices and toolkits that are readily translatable, transferable, and shared broadly amongst ESIP stakeholders interested in embracing open science. […]
This Cluster aims to build a robust community, equipped with best practices and toolkits that are readily translatable, transferable, and shared broadly amongst ESIP stakeholders interested in embracing open science. […]
This Cluster—formerly the Applied Earth Observations Innovations Partnership (AEOIP)— fosters interagency partnerships to advance Earth Observation–based land management. By connecting EO experts with land management experts, we seek to increase […]
This Cluster develops semantics and ontologies resources — notably an ongoing series of presentations every other week — as well as community building efforts to make connections between people who […]
About this Cluster The Council of Data Facilities (CDF) is a federation of existing and emerging geoscience data facilities that serves as an effective cyberinfrastructure foundation for domain and […]
This Cluster provides guidance for repository operators and others to follow consistent conventions to improve data discovery through search engines. To learn more about this Cluster and its activities, visit […]
This Cluster helps connect scientists, researchers, and grad students to Earth science data tools, software, and open science practices through Help Desks at major scientific conferences each year. To learn […]
This Cluster aims to facilitate connections and coordinate efforts among data providers, managers and developers of disaster response systems and tools, and end-user communities within ESIP. To learn more about […]
This Cluster was established to maximize data relevance and use to benefit the study of biodiversity. We facilitate guidance, documentation, training, and community building for the U.S. biological data community. […]
The Sustainable Data Management Cluster works for the continuation of scientific data management through better and more efficient practices for data management on a personal and repository level. We look […]
This Cluster is a community of science-driven practitioners that work across the domains of terrestrial in-situ observation, long term monitoring, QA and QC, sensor engineering, field deployment/design, data networking, edge […]