OSCARS will maintain the high momentum achieved in these past years on FAIR data management and connecting research communities from all scientific domains to the EOSC by bringing together world-class European research infrastructures (RI) in the ESFRI roadmap and beyond and will be implemented in the next four years.
The project will lead and foster the involvement of a broad range of research communities in EOSC by launching two Open Calls (in total worth about €16 million) for the development of new, innovative Open Science projects that together will drive the uptake of FAIR-data-intensive research throughout the European Research Area (ERA). Projects can be proposed in the field of any of the Science Clusters by any researcher or group of researchers through a cascading grant mechanism.
OSCARS will develop a FAIR-compliant certification scheme for research data and community-based science platforms embedded in the EOSC environment and provide access to FAIR data services, data sources, guidelines & training. It will also provide highly composable research-enabling services, as well as data processing and management solutions.
The concept of one Community-based Competence Centre (CCC) per Science Cluster is something new, addressing each scientific community’s culture and needs strengthening intra-cluster collaboration by sharing best practices and developing common strategies.
The first Open Call was launched in March 2024.
OSCARS' results will be showcased through the EOSC implementation Macro-Roadmap.
Trust-IT Services supports the implementation of the Open Calls through the deployment of the TRUST-GRANTS Platform and process. Wondering how to implement an open call or cascading grants distribution process?
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These “Science Clusters” have strived to make:
- Open data easily accessible to the users and the public by providing scientific data management to enable open science.
- The Science Clusters are an integral part of the European Open Science Cloud (EOSC) initiative, contributing to its development and implementation process.
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