AUTHOR=Stern Charles , Abernathey Ryan , Hamman Joseph , Wegener Rachel , Lepore Chiara , Harkins Sean , Merose Alexander 

TITLE=Pangeo Forge: Crowdsourcing Analysis-Ready, Cloud Optimized Data Production

JOURNAL=Frontiers in Climate

VOLUME=3

YEAR=2022

URL=https://www.frontiersin.org/journals/climate/articles/10.3389/fclim.2021.782909

DOI=10.3389/fclim.2021.782909

ISSN=2624-9553

ABSTRACT=<p>Pangeo Forge is a new community-driven platform that accelerates science by providing high-level recipe frameworks alongside cloud compute infrastructure for extracting data from provider archives, transforming it into analysis-ready, cloud-optimized (ARCO) data stores, and providing a human- and machine-readable catalog for browsing and loading. In abstracting the scientific domain logic of data recipes from cloud infrastructure concerns, Pangeo Forge aims to open a door for a broader community of scientists to participate in ARCO data production. A wholly open-source platform composed of multiple modular components, Pangeo Forge presents a foundation for the practice of reproducible, cloud-native, big-data ocean, weather, and climate science without relying on proprietary or cloud-vendor-specific tooling.</p>