One of the objectives of the EOSC (European Open Science Cloud) Future Project is to integrate diverse analysis workflows from Cosmology, Astrophysics and High Energy Physics in a common framework. The project’s development relies on the implementation of the Virtual Research Environment (VRE), a prototype platform supporting the goals of Dark Matter and Extreme Universe Science Projects in the respect of FAIR data policies. It makes use of a common AAI system, and exposes the experiments’ data (ATLAS, Fermi-LAT, CTA, Darkside, Km3Net, Virgo, LOFAR) in a reliable distributed storage infrastructure for multi-science: the Data Lake. The entry point of such a platform is a jupyterhub instance deployed on top of a scalable Kubernetes infrastructure, providing an interactive graphical interface for researchers to access, analyse and share data. The data access and browsability is enabled through API calls to the high level data management and storage orchestration software (Rucio). In this contribution we will provide an overview of the VRE and present our recent work to improve its usability and functionality. The improvements include a software repository plug-in enabling researchers to directly select computational environments from Docker images and the integration of a re-analysis platform (Reana) supporting various distributed computing backends. The final goal of the VRE project, bringing together data and software access, workflow reproducibility and enhanced user interface, is to facilitate scientific collaboration, ultimately accelerating research in various fields.
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