Organo-Strat
Organospecific Stratification in Covid-19 is part of the Forschungsnetzwerk "Nationale Universitätsmedizin". Among others, it deals with standards for organ models.
The QUEST Center conducts projects in various areas such as Open Science, Stakeholder Engagement, Incentives & Indicators, and Quality Assurance. We are developing new approaches in design, analysis and reporting in biomedical, both preclinical and clinical research to improve research. To learn more about our projects, please use our filter options below.
Complementary to our implementation activities, we have established the Monitoring & Evaluation System COMPASS. For more information, please see here.
In the scope of COMPASS, we have developed a modular self-evaluation tool on responsible research practices. Whether you are a student, want to develop as a researcher/research team, or want to improve research evaluation from a reviewer's perspective, with our COMPASS on Research Quality, you can start your journey toward more impactful research today. Once you have completed and submitted your assessment, you’ll receive a visual summary.
Organospecific Stratification in Covid-19 is part of the Forschungsnetzwerk "Nationale Universitätsmedizin". Among others, it deals with standards for organ models.
Advanced in vitro models have strong potential to complement or substitute animal experiments and improve translational research. We collaborate with organ model researchers to develop and implement measures towards robust organ models and enhance their broad acceptance via 6R strategies.
In response to what has been called the “reproducibility crisis”, institutions and granting agencies have begun to implement changes in how biomedical research activity is rewarded and funded. The aim of the project was to gain a better understanding of how different stakeholders view these ongoing reforms.
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.
This project assesses how outcomes of registered clinical trials are changed over the course of the trial, and how these changes are reported.
This project develops a roadmap to improve the robustness and transparency of artificial intelligence (AI) in healthcare, for increasing physician and patient confidence in using AI.
BRAVO examines the extent to which Germany's medical faculties consider and promote various aspects of quality of biomedical research.
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.