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This seminar will introduce Galaxy, an open-source platform that empowers researchers across disciplines to analyze, manage, and share data without requiring programming expertise. It is widely adopted across life sciences, environmental research, astrophysics, and beyond. Galaxy offers an intuitive web interface with thousands of integrated tools contributed by its community, making complex data workflows accessible, reproducible, and sharable. Beyond analysis, Galaxy streamlines Research Data Management (RDM) by supporting the entire data life cycle from import and processing to secure storage, sharing, and long-term archiving and reproducibility.

Researchers can connect to research data facilities (eLAB, LIMS) or integrate cloud storage solutions like Nextcloud, Google Drive, and Dropbox, among others. Galaxy's publishing and archiving capabilities allow for sharing datasets, workflows, and results via Zenodo or export to remote resources while maintaining flexible access controls. Additionally, Galaxy provides interactive tools such as Jupyter Notebook and RStudio, facilitating machine learning, visualization, and workflow development.

With over 125,000 researchers using the European Galaxy server, the platform is a robust, scalable gateway for data-driven research. Whether handling large datasets, developing machine learning models, or automating analyses, Galaxy simplifies the process, ensuring that research remains transparent, reproducible, and impactful.

José Manuel Domínguez is a developer and administrator of the Galaxy Europe platform at the University of Freiburg. With a scientific background in physics and mathematics, he develops and maintains software infrastructure that supports scientific research. His work focuses on data management, accessible tools for scientists, and high-performance computing.