HomeEOSCEOSC Macro-RoadmapQ4
EVERSE is developing a rewards and recognition framework for software engineers based on the approach employed for data stewards. The... Read more
The FAIR Assessment Dashboard is a collection of tools for software developers at science clusters to assess and monitor the... Read more
Catalogue of training materials on new and existing OERs on EOSC relevant for the marine, coastal, and freshwater communities
The VRE is a cloud-based platform where users can seamlessly combine computing environments, algorithms and data sources to support freshwater research.
FAIR-IMPACT will build on the outputs of the RDA/ReSA/FORCE11 FAIR for Research Software WG and existing guidelines & metrics for research software to adapt and enhance the FAIR...
To enable responsible research assessment (RRA) and Open Science (OS) to be adopted, GraspOS will deliver an open and federated infrastructure architecture that will incorporate valuable data sources...
The Open Science Assessment Framework (OSAF) is being developed to facilitate translation of Open Science and Responsible Research Assessment (RRA) principles into situated research evaluation protocols. The OSAF...
SciLake will identify databases, ontologies, and taxonomies relevant to the pilots' scientific domains (neuroscience, cancer, transportation and energy) and will use these to create or extend domain-specific Scientific...
SciLake is building a data storage and analytics service to accommodate, manage, and expose heterogeneous scholarly content through domain-agnostic or domain-specific “Scientific Knowledge Graphs” together with relevant unstructured...
Building on work from FAIRsFAIR, RDA and elsewhere, FAIR-IMPACT will work with the integrated use case partners and other stakeholders to provide key documents and recommendations for legal...
EOSC4Cancer will develop training material on how to use the different tools and elements developed by EOSC4Cancer to support cancer data research. The project will establish a training...
This report will outline recommendations on how to provide better metadata description for cancer research datasets, how to better use ontologies for the content of datasets and how...