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Learn about the Tools & Services we offer

We develop tools and offer services that support both researchers and practitioners in working with complex health data. From intuitive software applications and integration frameworks to scalable infrastructures and expert guidance — our solutions are built to bridge the gap between science and practice. By focusing on real-world needs, we enable data-driven innovation in healthcare.

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Consulting and Training in Research Data Management

This service brings together expert consulting and focused training to support good research data management in practice. Researchers receive tailored advice for their specific projects, alongside hands-on training that develops skills in data planning, documentation, storage, and reuse. The aim is to promote reproducibility, improve data quality, and support compliance with funder, institutional, and ethical requirements.

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FAIRspace Cologne

FAIRspace Cologne is a GitHub-based platform offering practical guidance, tools, and community resources to support FAIR and effective research data management.

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FAIRdata Cologne

FAIRdata Cologne is a Dataverse-based metadata catalogue for documenting and discovering experimental research activities. It supports collaboration within projects such as CRCs and, where desired, increases the visibility of laboratory research to the wider scientific community.

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Research Electronic Data Capture (REDCap)

REDCap is a secure web application for electronic data capture, created in 2004 at Vanderbilt University. It allows researchers to develop customized data collection instruments (online surveys), single or multi-site data collection and management of the research database.

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WavePrep

WavePrep is a tool for creating machine-learning-ready signal datasets from MIMIC waveform databases.

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Terminology Server (SU-TermServ)

The central terminology server for the HiGHmed project and the NUM projects is hosted at the Cologne site and made available for connection.

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PADME - Platform for Analytics and Distributed Machine Learning for Enterprises

PADME is our Distributed Analytics (DA) infrastructure that enables a paradigm-shift, in which we bring algorithms to the data instead of vice versa to enable privacy-preserving analysis on sensitive data.

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Hospital External Data Delivery via Medical Data Integration Center (MeDIC) and FDPG

A central task of the MeDIC is the provision of medical care data for authorized external people.

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FLAME - Federated Learning and Analyses in Medicine

FLAME (Federated Learning and Analysis in Medicine) is a novel software platform designed to enable secure, decentralized data analysis within the Medical Informatics Initiative (MII).

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