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Mapping the sensitivity of mitigation scenarios to societal choices

Science areas: Earth Sciences, Environmental Engineering, Economics and Business

Goals: this project aims to perform modeling studies to explore how future energy systems can evolve and to quantify the tradeoffs and interlinkages between different aspects of the global energy systems in the context of international climate change policy and sustainable development.

EMSO ERIC Data Management Platform

Science area: Earth Sciences

Goal: this use case aims at transitioning the Data Management Platform (DMP) to pre-production and then to full production. The prototype DMP has been deployed within EGI and will now transition to production and registration to the EOSC Marketplace as part of the EOSC-hub project.


Science area: Light Pollution

Goals: the use case aims at creating a light pollution community in B2SHARE in order to use resources such as datasets, presentations, source code.

Industry Use Cases

Digital Innovation Hubs are recent virtual structures promoted by the European Commission to give support to SMEs in their digitization process. Considered as one-stop-shops, Digital Innovation Hubs provide access to the latest knowledge, expertise and technology to support industry customers with piloting, testing and experimenting with digital innovations in many domains. The EOSC DIH has been created to provide and support companies in an easily access to the technologies and services offered in the European Open Science Cloud. 

EOSCpilot Science Demonstrator: Photon Neutron Virtual Platform

The Photon Neutron Data Science Demonstrator leverages on the photon-neutron community to improve computing facilities by creating a virtual platform for all users. Photons and Neutrons are widely used for research in many scientific fields and they require large Research Infrastructures (RI). Research at these RIs makes use of large-area detectors, multichannel detection, and high repetition of measurements. This leads to large quantities of data and raises the need to perform data analysis in an efficient manner. Thousands of users of the RIs propose, conduct and analyze data from scientific experiments in a wide range of application domains. Access is granted after a thorough peer-review of the scientific proposals. Often, these users’ groups are small teams of scientists coming from universities and research organizations using RIs in various locations in Europe according to the specific characteristics of the beamlines; in general, more than one analytical facility is needed for the same experiment. Critical issues are data storage, sustained access to the data and an efficient data analysis ecosystem.

EOSCpilot Science Demonstrator: LOFAR - Astrophysics Data

Data integration and data interoperability allow users to exploit the sensitivity of multiple instruments, and are the driving force behind new discoveries. The open science enabled by this project, in combination with the EOSC ecosystem, will be a catalyst to make this happen with LOFAR (Low-Frequency Array) data as well. Existing LOFAR data will be made readily available to a much larger and broader audience, enabling novel scientific breakthroughs. Important discoveries are regularly made by re-analysing existing astronomy data.

The EOSC as a scalable computing infrastructure for Earth Observation

How EOSC could open the way for Earth Observation innovation

EOSCpilot Science Demonstrator: eWaterCycle & SWITCH-ON - FAIR data for hydrology

Central to the science of hydrology is the localized nature of the medium through which water flows. The science demonstrator proposal seeks to integrate the top-down approach of the eWaterCycle project with the bottom-up approach of the SWITCH-ON one.

EOSCpilot Science Demonstrator: EPOS/VERCE - Earthquake Data Environment

The demonstrator democratises access to HPC simulation codes, data and workflows for the evaluation of Earth models. It is implemented through a science gateway and offers reproducibility and provenance services for monitoring, validation and reuse of the data produced during the different phases of the analysis. VERCE’s strategy is to build upon a service-oriented architecture and a data-intensive platform delivering services, workflow tools, and software as a service, and to integrate the distributed European public data and computing infrastructures (GRID, HPC and CLOUD) with private resources and the European integrated data archives of the seismology community.


This page provides examples of "EOSC-in-practice" use cases or success stories that highlight how EOSC services and resources can support the daily work of researchers and innovators.



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.