We make data ready for research to build a healthier world.
Digital. Nonprofit. Secure.
Welcome to Data4Life
Our digital solutions at a glance
D4L Collect and the Data2Evidence platform offer optimized software solutions for the digital collection, integration and analysis of health data. They improve interoperability and provide standardized data for global research.
Sensor Data Collection Platform for the digital implementation of studies in the healthcare sector. Data from sensors, wearables or questionnaires can be integrated and harmonized into a standardized data set.
A platform that bridges the gap between clinical data and cutting-edge research. It provides seamless access to high-quality, interoperable datasets, empowering researchers to drive groundbreaking discoveries in evidence-based and personalized medicine.
Our partners
Latest news
Joint Statement on the TEHDAS2 Guidelines for Implementing the European Health Data Space
A call to ensure that data access translates into meaningful real-world insights.
Read statementReal-time study PULS! launches: How do crises affect our health?
Data4Life and the Center for Preventive Medicine and Digital Health of the Medical Faculty Mannheim, Heidelberg University are jointly launching a nationwide digital population study on the health consequences of crises.
Read press releaseData4Life and Remedi partner to bridge point-of-care TB diagnostics and clinical evidence generation
Data4Life and Remedi partner to develop an integrated, portable X-ray imaging solution paired with mobile point-of-care data collection, enabling decentralized clinical workflows.
Read press releaseReal-World Evidence in Oncology: Data, Standards, and Digital Endpoints, Episode 2
How can we unlock the full potential of real-world data in oncology while navigating fragmented systems, evolving standards, and emerging digital endpoints? A closer look at the future of data-driven cancer research.
Watch on YouTubeData4Life opens PPCR Site Centre in Berlin
With the launch of the 2026 PPCR program, we are bringing clinical research, data, and real-world application closer together. As an official Site Center in Berlin, we support a global community of researchers in strengthening study quality and advancing evidence-based decision-making.
Read more about our initiativeCurrent projects
AIR·MS
Data4Life contributes to the AIR·MS platform, where researchers can access the vast datasets held at Mount Sinai for data science and machine learning endeavors.
SensorHub
Data4Life and the Chair for Digital Health - Connected Healthcare at the Hasso Plattner Institute are building the SensorHub platform making wearable and sensor data ready for research.
Sensor-S
D4L Collect as a solution for gathering multimodal data in a consortium project with Charité – Universitätsmedizin Berlin and the Hasso Plattner Institute.
PULS! Digital population study on health in times of crisis
The PULS! study examines how crisis events affect the health of the population, which groups are particularly affected, and how well people are prepared for such situations.
Digital
We are digitizing health research.
Step counts in the smartwatch, sleep paterns tracked per app, vital signs monitored by a doctor - every day more and more health data is being generated as we go about our daily lives. But the potential of this data is not being fully utilized. We're here to change that. Together with our partners, we're working to make health data ready for research.
In doing so, we can play a significant part in improving the prevention, diagnosis, and treatment of diseases. For the benefit of all.
Nonprofit
We are nonprofit!
Founded by the Hasso-Plattner-Foundation all our activities exclusively and directly pursue philanthropic goals.
For us, that means:
Digitize public health
Accelerate personalized medicine
Staying purpose-driven and nonprofit
Secure
Data is secure with us.
As a nonprofit organization, we handle health data ethically, compliant and responsibly. Data needs to be comprehensive, digital, and secure. We work with renowned partners to make data interoperably accessible for research.
