RELIANCE seeks to extend the EOSC's capabilities with an enhanced support for research activities through a set of industry-strong, innovative, interconnected services, and in alignment with the EOSC Interoperability Framework.  It will enhance the discovery of and access to research data/results (incl. Copernicus data), improve the extraction of relevant information, managing the research lifecycle while promoting FAIR and open science principles. RELIANCE will pilot and demonstrate its services’ value via 3 Earth Science communities and others engaged via an Open Call, fostering the use of Copernicus data.

• Joint dissemination and communication activities

1. Mutually referencing our projects on our respective websites;
2. Supporting each other through social medial (LinkedIn and Twitter);
3. Informing each other about ongoing activities, upcoming events and webinars;
4. Potentially contributing or co-locate an event or webinar on relevant topics

• Technical collaboration to be established and identified between our projects.

We would like to understand the PHIDIAS  developments regarding the standardised access to HPC services, and data-processing models coupled with HPC capabilities. We understand PHIDIAS  is delivering services to discover, manage and process spatial and environmental data, which would increase HPC and data capacities. In RELIANCE, we are bringing into EOSC FAIR Data Cube services to enabling our communities to exploit efficiently Copernicus data and other project-generated geospatial products. Moreover, we are designing and integrating data pipelines from Copernicus Services data providers with data processing applications using Earth Observation toolboxes to create specialized Data Cubes. The exploitation of such data may require access to data-processing models coupled with HPC capabilities, which is one of the PHIDIAS goals.

Additionally RELIANCE is facilitating communities the adoption of FAIR and open science principles through the adoption and integration of research objects and text mining technologies, which may be interesting for PHIDIAS.

This would need to be defined more in detail after some bilateral discussion. Could be from trying to promote our projects and activities to leverage each other results in our work.