Access to HPC facilities is vitally important to the fusion community, not only for plasma modelling but also for advanced engineering and design, materials research, uncertainty quantification and advanced data analytics for engineering operations (e.g. condition monitoring). The requirements for HPC class machines is expected to only increase as the community prepares for the next generation facility, ITER. However, access to HPC class infrastructure is quite restricted and obtaining time on this class of machine for algorithm development, testing and optimisation is already problematic. A few fusion centres have local access to smaller HPC class clusters but larger-scale workflows and smaller fusion research centres are required to competitively bid for time on hardware such as PRACE Tier-0 and Tier-1 facilities, often also requiring visiting the centre. Within this demonstrator, we propose to make HPC class machines available as a cloud-like service to the fusion community.
Funding agencies today require (FAIR) Data Management Plans, explaining how data acquired or produced will be preserved for re-use, sharing and verification of results. The preservation of data from CERN’s Large Hadron Collider poses significant challenges: not least in terms of scale. The purpose of this demonstrator is to show how existing, fully generic services can be combined to meet these needs in a manner that is discipline agnostic, i.e. can be used by others without modification.
The pufferfish Lagocephalus sceleratus has entered the Mediterranean Sea through the Suez Canal and is highly toxic. The goal of the multidisciplinary team of scientists who studied it was to predict the areas this species was going to invade in the near future. All the services used, the methodology and the results are discoverable and accessible through the EOSC portal.
Human language is ambiguous and often complex to interpret. One sentence can have multiple meanings. Transforming the language into real, directly usable research data, requires deep insight in the linguistic content, e.g. via dictionaries and language models. This use case explains how the integration of the CLARIN infrastructure into the EOSC portal can facilitate the study of language data and how the Portal itself can support the Social Sciences and Humanities (SSH) community.
ICOS is a pan-European research infrastructure for quantifying and understanding Europe’s greenhouse gas (GHG) balance. Its mission is to collect high-quality observational data and to promote its use, e.g. to model GHG fluxes or to support verification of emission data. ICOS brings together 120+ measurement stations across the atmosphere, ecosystem and marine domains.
The research life-cycle made easy using OpenAIRE and EOSC-hub services: making data open yet anonymous. Becky is an early career social scientist. She is excited to have been offered a competitive post in a well-established department to work on an international EC Horizon 2020 5-year research project with many partners. The project started a year before she arrived, and her institution leads the research on the language used to describe immigration in the national press.
The EOSC-hub and OpenAIRE-Advance projects make a wide portfolio of research and collaboration tools available to scientists across the world. These include services for data storage and management, cloud and HTC compute resources and tools to facilitate and support the transition to Open Science publishing workflows, while respecting, reproducibility and transparent evaluation of science.
The Social Sciences and Humanities research communities face a fragmented research landscape that can be supported by EOSC. The EOSC would help overcome such fragmentation, by building on structuring and integrating initiatives such as the CLARIN, DARIAH and E-RIHS ERICs, and Digital Humanities Organizations to offer advanced text-based services addressing common research needs.
The EOSC portal has been jointly developed and maintained by the eInfraCentral, EOSC-hub, EOSCpilot and OpenAIRE-Advance projects funded by the European Union’s Horizon 2020 research and innovation programme with contribution of the European Commission.