Be a speaker at this December’s Spark@AGU! Learn more and submit a talk idea by October 23.
Shuo Yu of Cornell University will give a talk titled "Social Returns to Conservation: Incentives for Cover Crops and Water Quality in the Midwest." Yu is an agroeconomist focused on […]
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 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 […]
This Committee considers new organizational partnership applications and forwarding accepted applications to the partner assembly for comment. Learn more about this Committee and its activities on the ESIP Committee github […]
This Cluster is interested in topics that promote curation, discovery, and use of sample collections and associated metadata. We value access to and preservation of samples and sample data. To […]
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—also known as 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 […]
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 interdisciplinary earth system science. […]
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 helps ESIP members tackle challenges as geospatial computing continues to demand more volume, variety, and velocity - the core characteristics of big data. To learn more about this […]
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 […]