OSCARS' Objectives

Consolidating common EOSC approaches between RI communities in the five Science Clusters.

OSCARS’ first objective is to consolidate the achievements from the five H2020 INFRA-EOSC-2018-01-04 projects – ESCAPE (Astronomy & Particle Physics) ENVRI-FAIR (Environment and Earth Sciences), EOSC-LIFE (Life Sciences), PANOSC (Photon and Neutron science) and SSHOC (Social Science and Humanities) – into lasting interdisciplinary services and working practices. 
The project will do so by:

  • Carrying out continue activities that aim at more cohesion, targeting a fully operational enabling ecosystem for the whole research data lifecycle;
  • Leveraging the cross-domain approach, as well as the cooperation with e-infrastructures, for horizontal core functions, with a common layer for services accessible to researchers across disciplines;
  • Applying economies of scale and fostering cross-fertilisation for shared solutions of key services for researchers in all domains, supporting the drive towards the most efficient operationalisation of EOSC;
  • Cooperating and supporting the EOSC partnership in its remit of ensuring the directionality (common vision and objectives) and additionality (complementary commitments and contributions) of its stakeholders.

Demonstrating and piloting the use of EOSC resources by multiple research communities’ cross-RI and/or cross-domain Open Science projects and services through a cascading grant mechanism.

OSCARS’ second key objective is to lead and foster the involvement of a broad range of research communities in EOSC via the development of new Open Science projects, that together will drive the uptake of FAIR-data-intensive research throughout the European Research Area (ERA).

To this aim, OSCARS will:

  • Support and structure an EOSC ecosystem in which all OSCARS funded Open Science projects will contribute to a data space for science, research and innovation, integrated into the other data spaces described in the European Strategy for Data.
  • Pursue the creation of pan-European research-enabling value-added services, including access mechanisms to FAIR data science and services;
  • Foster the coordination of national activities, European research infrastructures and the scientific community at large, including the long tail of science;
  • Foster interdisciplinarity for achieving challenging new science pathways.