This eLearning course is presented by CAMARADES (Collaborative Approach to Meta-Analysis and Review of Animal Data from Experimental Studies), meta-research scientists who aim to bring evidence to translational medicine. (In English)
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).
During this intensive workshop, participants will delve into the practicalities of conducting meta-analysis on animal studies. (In English)
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 COReS project at the BIH QUEST Center starts with a new seminar series. Emerging trends in systematic reviews to support animal research will be explained in more detail.
Our DFG-Emmy Noether Program-funded lab has two main focuses: First, we are developing in vivo tissue regeneration as a therapeutic strategy. Second, we aim to understand the dynamics between hematopoietic and hepatic systems in development and disease using blood-liver organoids.
Our lab is made up of bioinformaticians, computer scientists, ontologists, curators, and software engineers. Our mission is to develop software resources and algorithms to improve human health. Our research focuses on the development of ontologies and software for translational genomics.
The Diversity Journal Club together with the QUEST Center discusses current research on diversity and responsible research and innovation in the new DRIVERS Journal Club. (In English)
Summer School to guide early-career researchers (PhD students and postdocs) toward an open, transparent, and replicable research process. (In English)
In INFORM-Stroke, we want to compare the results of a multicentre preclinical stroke study with those of systematic reviews. In addition, more in-depth analyses will examine the effect of animal attrition and of meta-analysis decisions on the effect estimates.