Projects

ANONY-MED creates an ethically aligned, trustworthy AI toolbox for privacy-preserving data synthesis using generative AI methods like GANs and homomorphic encryption in healthcare. This advances AI models in radiology, cardiology, and stroke therapy, while ensuring transparency and robustness.

The project aims to include FAIR criteria in the Charité Metrics Dashboard and co-develop prototype open science dashboards for other research fields.

The project "Berlin University Alliance Open Science Magnifiers" continues and further develops the systematic monitoring of Open Science practices. This includes visualizations of indicators for open practices, as well as highlighting of specific best-practice examples.

The CARDS project aims to develop and expand tools, services, and training offered to researchers of the Berlin University Alliance (BUA) on the topic of research data management (RDM).

In winter 2021/22, the current status of research data management (RDM) was surveyed throughout the Berlin University Alliance (BUA), i.e. at the Charité and the three large Berlin universities.

In cooperation with the QUEST Center, the NCRC implements two novel structural elements in the BrainLab project: Patient & Stakeholder Engagement (PSE) and Clinical Research Data Management (cRDM)

This project will develop recommendations for actions that researchers, research institutions, funders publishers can use to promote the sharing of detailed methods and reusable step-by-step protocols in the life sciences.

In this project, we analyse the quality and reporting of patient engagement in health research.

The project aims to optimize trustworthiness, robustness, usefulness, and transparency of data and algorithm-driven biomedical research. Through conceptual development, meta-research, and stakeholder engagement, we aim to generate evidence-based best practices for high research standards.