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.
To achieve this, OSCARS has been striving to:
1. Set up and implement Clusters’ Open Science Competence Centres (CLOCCs), community-based virtual hubs dedicated to fostering research excellence through training and knowledge transfer, and providing expertise, best practices and services in relation to Open Science.
Once implemented, Community-based Competence Centres will:
- Support researchers and RIs;
- Foster communication and collaboration for Open Science between RIs in the Science Clusters (SCs) and across the SCs;
- Create a collaborative network to provide expertise, best practices and services in relation to Open Science;
- Promote cross-disciplinary collaborations for Open Science;
- Set up a common dashboard model and a mentoring strategy to support the efforts of SCs in training, and to disseminate skills and best practices.
2. Identify and provide Composable Open Data and Analysis Services (CODAS) accessible via Virtual Research Environments (VREs).
To achieve this, the project partners will:
- Provide portfolios of Clusters’ Services and FAIR Data Sources.
- Undertake a survey to identify where services may be made composable.
- Identify and select a set of services for further development, to provide the basis for CODAS.
- Build 1-2 “Composability demonstrators” per Science Cluster.
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.
3. OSCARS supports and structures 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.
Through the OSCARS Open Calls, the project has been involving a broad range of research communities for the development of new Open Science projects and services to drive the uptake of FAIR data-intensive research throughout the ERA.
OSCARS also contributes to the implementation of the EOSC Federation as a “Web of FAIR Data and Services for Science”, by engaging with existing networks, projects, international fora and working groups.
