LAMBDA – Lakehouse-enabled AI‑ready Multi‑modal Bioimaging Data Architecture

LAMBDA is a Department of Energy (DOE) Biological and Environmental Research (BER) supported research initiative that aims to develop a cross‑facility, standardized data framework for all BER‑supported structural biology and imaging resources. The project seeks to integrate heterogeneous biomedical data sources into a unified “lakehouse” architecture that is ready for AI‑driven analysis.

Goals

• Define a common data model and metadata standards for structural biology and imaging datasets.
• Provide tools and pipelines for ingesting, curating, and sharing data across multiple DOE facilities.
• Enable AI‑ready, multimodal data access to accelerate scientific discovery and collaboration.