Goals: In recent years, technological progress has been made in plant phenomics - major improvements concerning imaging and sensor technologies. High-throughput plant phenotyping platforms now produce massive datasets involving millions of plant images concerning hundreds of different genotypes at different phenological stages in both field and controlled environments. There is a need for an integrated and federated solution for data management and data processing. The open-source Phenotyping Hybrid Information System PHIS aims at organising these data and make them accessible and reusable to a larger scientific community.
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.
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.
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.
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.
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 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.