:construction: Data2Evidence is beta software. There might be breaking changes. :construction:

Data2Evidence

Transforming fragmented health data into actionable insights - with speed and precision.

Overview

Data2Evidence (D2E) is an open-source research platform that streamlines the entire journey from raw health data to reproducible scientific evidence.
Built for the OHDSI community and powered by the OMOP Common Data Model (CDM), it unifies data ingestion, transformation, quality assessment, and analysis within one consistent, end-to-end environment.

Modern health data is often fragmented across incompatible systems, making research time-consuming and error-prone.
Data2Evidence directly addresses these challenges — enabling researchers, data custodians, and institutions to standardize data, run quality checks, define cohorts, and analyze results with unparalleled transparency and speed.

Why Researchers Choose Data2Evidence

• End-to-End Workflows - Transition from raw data to research-ready cohorts, validation, and analytics - all within a single, unified environment.
• Design-Centric Usability - A clean, modern interface minimizes technical overhead and decision fatigue.
• Reproducibility & Trust - Built-in validation, provenance tracking, and consistent workflows ensure reliability.
• Accelerated Onboarding - Lightweight installation and sensible defaults make it easy to get started.
• Extensible Platform - Add custom workflows, ML models, and integrations to fit institutional needs.

Who It's For

• Data Custodians / Administrators - Deliver high-quality OMOP datasets ready for research. Scan, map, transform, and validate data — all in one place.
• Researchers & Clinicians - Explore the data, define cohorts visually, test feasibility in real-time, and run analyses in interactive notebooks.
• Collaborating Institutions - Run federated, privacy-preserving studies without moving sensitive data.

Key Benefits

Built by and for the OHDSI Community

Data2Evidence supercharges the OHDSI ecosystem, combining familiar tools with new orchestration and governance features.

Integrated OHDSI Tools

• White Rabbit & Rabbit in a Hat
• Data Quality Dashboard (DQD)
• Achilles
• PHOEBE
• ATLAS
• HADES
• Strategus

Enhanced Capabilities

• ETL Pipeline Orchestration - Manage data pipelines with Prefect for transparency and reproducibility.
• Data Storage & User Management - Secure, compliant storage with role-based access control.
• FHIR Integration - Bridge clinical data exchange standards with OMOP.
• Federated Network Studies - Run analyses across sites without moving patient-level data.

Quick Start

Prerequisites

• Docker ≥ 24
• Node.js ≥ 18
• Git
• Windows users: WSL2 or Ubuntu recommended

Installation

Create folder for Data2Evidence

mkdir d2e
cd d2e

Install the Data2Evidence CLI

Set VERSION and your platform, then download it as d2e.

Linux / macOS — PLATFORM is one of linux-x64, linux-arm64, darwin-x64, darwin-arm64:

VERSION="0.17.0-beta"        # any released version
PLATFORM="darwin-arm64"      # your OS/arch
curl -L "https://github.com/OHDSI/Data2Evidence/releases/download/v$VERSION/data2evidence-cli-$VERSION-$PLATFORM" -o d2e
chmod +x d2e

Windows (PowerShell):

$VERSION = "0.17.0-beta"     # any released version
curl.exe -L --progress-bar -o d2e.exe "https://github.com/OHDSI/Data2Evidence/releases/download/v$VERSION/data2evidence-cli-$VERSION-windows-x64.exe"

Generate .env file for Data2Evidence with random generated secrets and certificates

./d2e init

Start the Data2Evidence services

./d2e -e pull
./d2e -e start

Create and load demo dataset

./d2e setupdemo

Access via https://localhost:443
Default credentials: admin / Updatepassword12345

Full guide: data2evidence.org/docs/getting_started

Architecture Overview

services/   → Backend microservices (auth, ETL, storage)
ui/         → Frontend web interface
flows/      → Prefect-based orchestration flows
functions/  → Analytical utilities and notebook helpers

• RESTful APIs for integration and automation
• Extensible plugin system for custom modules
• Supports on-premise, hybrid, and cloud deployments

Build / Tests

Contributing

We welcome community contributions!

1. Open issues or feature requests on GitHub
2. Submit pull requests
3. Join our Slack for discussions

Citing

If you use Data2Evidence in your research, please cite it using the metadata in CITATION.cff. GitHub provides a "Cite this repository" shortcut in the sidebar that generates APA and BibTeX entries from this file.

License

Licensed under the Apache 2.0 License.

Acknowledgments

Developed by Data4Life, supported by the Hasso Plattner Foundation and global research partners.

Let's unlock the potential of global health data - together.
👉 Explore now at data2evidence.org