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News, releases, and announcements from the DOE-BRIDGE community — the federated BER data lakehouse, its schemas, and the tools that connect them.

How DOE-BRIDGE Models Data: LinkML and Ontologies

DOE-BRIDGE connects data from independently run BER resources: JGI, EMSL, ESS-DIVE, KBase, and NMDC. Each resource keeps its own database and its own formats. DOE-BRIDGE adds a shared data model on top, so a query can span all of them.

This post explains how that data model is built: the schema language (LinkML), the ontology that names measured properties (BERVO), and two schema modules you can read and test today.

Introducing DOE-BRIDGE

DOE-BRIDGE is a collaborative effort across the U.S. Department of Energy's Biological and Environmental Research (BER) community to connect the data, schemas, and software produced by its major resources. This site is the entry point into that work.