Science Demonstrators

 

The aim of the EOSCpilot Science Demonstrators is to show the relevance and usefulness of the EOSC Services and their enabling of data reuse, to drive the EOSC development.

5 Science Demonstrators started at the project outset (listed below), with more to be included through EOSCpilot Open Calls for Science Demonstrators:

  • Environmental & Earth Sciences - ENVRI Radiative Forcing Integration to enable comparable data access across multiple research communities by working on data integration and harmonised access

  • High Energy Physics - WLCG: large-scale, long-term data preservation and re-use of physics data through the deployment of HEP data in the EOSC open to other research communities

  • Social Sciences – TEXTCROWD: Collaborative semantic enrichment of text-based datasets by developing new software to enable a semantic enrichment of text sources and make it available on the EOSC.
  • Life Sciences - Pan-Cancer Analyses & Cloud Computing within the EOSC to accelerate genomic analysis on the EOSC and reuse solutions in other areas (e.g. for cardiovascular & neuro-degenerative diseases)
  • Physics - The photon-neutron community to improve the community’s computing facilities by creating a virtual platform for all users (e.g., for users with no storage facilities at their home institutes)

Additional 5 Science Demonstrators started on July 1, 2017 (selected through first Open Call in Q2 2017):

  • Energy Research  – PROMINENCE: HPCaaS for Fusion - Access to HPC class nodes for the Fusion Research community through a cloud interface
  • Earth Sciences – EPOS/VERCE: Virtual Earthquake and Computational Earth Science e-science environment in Europe
  • Life Sciences / Genome Research:  Life Sciences Datasets: Leveraging EOSC to offload updating and standardizing life sciences datasets and to improve studies reproducibility, reusability and interoperability
  • Life Sciences / Structural Biology: CryoEM Workflows: Linking distributed data and data analysis resources as workflows in Structural Biology with cryo Electron Microscopy: Interoperability and reuse
  • Physical Sciences / Astronomy: LOFAR Data: Easy access to LOFAR data and knowledge extraction through Open Science Cloud