The following Infrastructure Gateways serve a number of Research Communities, each of which having a specific scientific domain and dedicated Virtual Research Environments / Virtual Laboratories.
AGINFRAPlus Gateway, 13 VREs / VLabs AGINFRA+ aims to exploit core e-infrastructures such as D4Science, EGI.eu, OpenAIRE and EUDAT, towards the evolution of the AGINFRA data infrastructure, so as to provide a sustainable channel addressing adjacent but not fully connected user communities around Agriculture and Food. AGINFRAPlus Gateway helps the project to develop and provide the necessary specifications and components for allowing the rapid and intuitive development of variegating data analysis workflows, where the functionalities for data storage and indexing, algorithm execution, results visualization and deployment are provided by specialized services utilizing cloud based infrastructure(s).
ARIADNEPlus Gateway, 2 VREs / VLabs The ARIADNEplus Project builds on the ARIADNE results, extending and supporting the research community that the previous project created and further developing the relationships with key stakeholders such as the most important European archaeological associations, researchers, heritage professionals, national heritage agencies and so on. The ARIADNEPlus Gateway helps the project to develop a data infrastructure embedded in a cloud that offer the availability of Virtual Research Environments where data-based archaeological research may be carried out. The project will furthermore develop a Linked Data approach to data discovery, making available to users innovative services, such as visualization, annotation, text mining and geo-temporal data management. Innovative pilots will be developed to test and demonstrate the innovation potential of the ARIADNEplus approach.
Blue-Cloud Gateway, 4 VREs / VLabs Blue-Cloud, a thematic EOSC cloud to better understand and manage the ocean sustainability, through a set of five compelling pilot Blue-Cloud demonstrators. It develops and deploys, the Pilot Blue Cloud as a cyber platform bringing together and providing access to: 1) multidisciplinary data from observations and models, 2) analytical tools, 3) computing facilities essential for key blue science use cases.
BlueBRIDGE Gateway, 57 VREs / VLabs BlueBRIDGE (H2020 project - Building Research environments fostering Innovation, Decision making, Governance and Education to support Blue growth) supports capacity building in interdisciplinary research communities actively involved in increasing scientific knowledge about resource overexploitation, degraded environment and ecosystem with the aim of providing a more solid ground for informed advice to competent authorities and to enlarge the spectrum of growth opportunities as addressed by the Blue Growth Societal Challenge. BlueBRIDGE has developed innovative services, the so called Virtual Research Environements (VREs) accessible via this gateway, in the following areas: - Ecosystem approach to Fisheries: services for stock assessment and for the generation of unique identifiers for global stocks; - Aquaculture: services supporting the analysis of socio-economic performance in aquaculture; - Maritime Spatial Planning: spatial planning services to identify aquaculture and fisheries infrastructures from satellite imagery and tools to visualize, analyze and report on a range of ecologically important seafloor features within marine protected areas; - Education: tools to set up and deliver training courses in a cost-effective way.
DESCRAMBLE Gateway, 1 VRE / VLab This gateway is an access point to a Virtual Research Environment (VRE) deployed and operated in the context of DESCRAMBLE EU-project to support participants in data and information management and collaboration. The Virtual Research Environments are "systems" per-se aiming at providing their users with a web-based working environment offering the entire spectrum of applications and facilities (including services, data and computational facilities) needed to accomplish a given task. They offer specialized functionalities for the management, processing, and visualization of scientific data and textual content.