Dorieh Data Platform
Dorieh is an open-source data platform for building trustworthy, ML-ready datasets for environmental and public health research. The documentation is organized as a narrative: it starts with why the platform exists and the ideas behind it, walks through the data domains and pipelines it supports, teaches the platform with two worked examples (a climate pipeline tutorial and a Medicare case study), and closes with the data modeling DSL reference, platform internals, and operational guides.
The concepts behind the platform are developed in depth in the book Research Data that Can Be Trusted (Bouzinier et al., Springer, 2026), written by the Dorieh authors; see About the companion book for how its chapters map to these pages. The documentation is self-contained — the book is optional enrichment.
Key pages
Learning paths — guided routes for researchers, developers, operators, book readers and auditors
Medicare tutorial with Medicare.md as its reference
Learning paths
Data domains and pipelines
Tutorials and worked examples
Data dictionaries
Data modeling DSL reference
Operational guides
Reference