Conveners
Virtual Research Environment (VRE) - I
- Alexandre M.J.J. Bonvin (Utrecht University)
Description
Virtual Research Environments (VRE) provide an intuitive, easy-to-use and secure access to (federated) computing resources for solving scientific problems, trying to hide the complexity of the underlying infrastructure, the heterogeneity of the resources, and the interconnecting middleware. Behind the scenes, VREs comprise tools, middleware and portal technologies, workflow automation as well a security solutions for layered and multifaceted applications. Topics of interest include but are not limited to: (1) Real-world experiences building and/or using VREs to gain new scientific knowledge; (2) Middleware technologies, tools, services beyond the state-of-the-art for VREs; (3) Science gateways as specific VRE environments, (4) Innovative technologies to enable VREs on arbitrary devices, including Internet-of-Things; and (5) One-step-ahead workflow integration and automation in VREs.
Modern instruments generate enormous datasets, but scientific insight depends on how quickly and collaboratively those data can be processed. DECTRIS CLOUD is shaping a future where researchers no longer move data, but move science into the cloud. The platform provides ready-to-use environments where experimental data, processing pipelines, and computational resources are instantly...
The European Open Science Cloud (EOSC) creates a federated environment where researchers across Europe can publish, find, and reuse data, tools, and services. Implemented as a 'system of systems', EOSC connects data repositories, research infrastructures, and e-infrastructures through a network of national and thematic nodes. The Dutch EOSC Node, operated by SURF, is one of the initial...
Sustained investment in research software requires moving beyond downloads/citations to demonstrate impact. This presentation uses the WeNMR platform — a VRE for structural biology with over 70,000 users — as a case for the "Research-Software-as-a-Service" (RSaaS) model. We will detail how the RSaaS model provides visible and quantifiable impact. By moving software into a centralized, managed...
Advanced computing infrastructures offer unparalleled computing capabilities and effectively support a multitude of computing requirements across diverse fields such as scientific research, big data analysis, artificial intelligence training and inference, and many more. Secure Shell (SSH) is a widely used method for accessing remote computing resources. To aim for efficient and secure access...