Data4Life, the nonprofit digital health organization, today announced the open-source release of its research platform Data2Evidence (D2E). With this move, Data4Life is equipping researchers and developers worldwide with powerful tools to integrate, manage, and analyze heterogeneous health data. By adopting an open-source strategy, the organization aims to foster scientific collaboration, accelerate innovation, and strengthen the interoperability of health data.
Open source for better research and greater transparency
Data2Evidence is a digital platform built around the OMOP Common Data Model (CDM), designed to streamline the standardization of health data. It enables seamless collaboration between research institutions and public health organizations by supporting interactive data integration, cohort-based exploration, and privacy-preserving data management.
The platform is flexible enough to meet the demands of a wide range of scientific use cases—from longitudinal studies to real-world evidence generation.
Open source, open science: driving innovation in health research
The open-source release of Data2Evidence marks a milestone for the global research community. Key features include:
Data2Evidence is designed for multidisciplinary research—from epidemiology, pharmacovigilance, and public health to medical informatics, data science, and health software development. Research institutions, public health agencies, and the open-source community can use the platform to unlock insights from health data and drive scientific breakthroughs.
With over 4,200 researchers in the OHDSI community already working with OMOP CDM, Data2Evidence has the potential to support thousands of scientists in making use of standardized, interoperable health data.
An open invitation to collaborate
Data4Life invites developers to join the open-source community around Data2Evidence and actively contribute to its ongoing development. The source code is available on our solution page at www.data2evidence.org, along with detailed documentation and onboarding support.
Researchers who are interested in using Data2Evidence for their own studies or have specific use cases in mind are encouraged to reach out to our team directly – we’re happy to explore how D2E can support your research needs.
“The open-source release of Data2Evidence is a significant step toward making health data research more transparent, efficient, and collaborative. We look forward to advancing evidence-based digital health together with a global community.” — Christian Weiss, CEO of Data4Life
Open source for better research and greater transparency
Data2Evidence is a digital platform built around the OMOP Common Data Model (CDM), designed to streamline the standardization of health data. It enables seamless collaboration between research institutions and public health organizations by supporting interactive data integration, cohort-based exploration, and privacy-preserving data management.
The platform is flexible enough to meet the demands of a wide range of scientific use cases—from longitudinal studies to real-world evidence generation.
Open source, open science: driving innovation in health research
The open-source release of Data2Evidence marks a milestone for the global research community. Key features include:
- Efficient data processing
Built-in data pipelines allow for seamless ingestion, enriched by integrated quality control tools.
- Flexible analysis tools
Researchers can identify relevant data, build interactive cohorts, and conduct in-platform analysis or connect with machine learning systems.
- Advanced visualization
A customizable dashboard provides anonymized, aggregated insights and cohort comparisons to support exploratory analysis.
- Interoperability and scalability
Based on OMOP CDM, the platform supports open standards, making health data easier to compare, reuse, and build upon.
- Trust through transparency
Open access to source code allows for independent review of security and privacy standards.
- Cost efficiency
Free from licensing fees, the platform offers institutions increased flexibility and long-term sustainability.
- Accelerated innovation
Global collaboration and community-driven development speed up the creation of new features and applications.
Data2Evidence is designed for multidisciplinary research—from epidemiology, pharmacovigilance, and public health to medical informatics, data science, and health software development. Research institutions, public health agencies, and the open-source community can use the platform to unlock insights from health data and drive scientific breakthroughs.
With over 4,200 researchers in the OHDSI community already working with OMOP CDM, Data2Evidence has the potential to support thousands of scientists in making use of standardized, interoperable health data.
An open invitation to collaborate
Data4Life invites developers to join the open-source community around Data2Evidence and actively contribute to its ongoing development. The source code is available on our solution page at www.data2evidence.org, along with detailed documentation and onboarding support.
Researchers who are interested in using Data2Evidence for their own studies or have specific use cases in mind are encouraged to reach out to our team directly – we’re happy to explore how D2E can support your research needs.
“The open-source release of Data2Evidence is a significant step toward making health data research more transparent, efficient, and collaborative. We look forward to advancing evidence-based digital health together with a global community.” — Christian Weiss, CEO of Data4Life
