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The QUEST Center conducts projects in various areas.

The unique feature of our projects is their practical and translational focus: we seek to test new approaches in design, analysis and reporting in biomedical research, both preclinical and clinical, to improve translation of research results into clinical care.

The projects are, among others, identified and evaluated by so-called "meta-research", i.e. research on research. The focus of our projects lies on Open Science, Stakeholder Engagement, Incentives & Indicators as well as Quality Assurance (see filter below).



    With the Monitoring & Evaluation System COMPASS, BIH QUEST Center establishes a complex impact-oriented program evaluation of its activities.

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  • Open Science Ongoing


    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.

  • Quality Assurance Open Science Closed

    BUA Open Science Dashboards

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

  • Quality Assurance Open Science

    BUA Open Science Magnifiers

    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.

  • Quality Assurance Open Science Ongoing


    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).

  • Open Science Ongoing


    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.

  • Open Science Ongoing

    Responsible Translation

    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.

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