The participation of PCSS in the construction of the European Open Science Cloud (EOSC) began with the EOSCpilot, EOSC-Hub, and DEEP-HybridDataCloud projects. The following three additional projects started in 2019 (SSHOC, EOSC-Synergy, and EOSC Enhance). It expanded by another three projects: CS3MESH4EOSC, EOSC-Future, and the coordinating project, RELIANCE.
Expanding the potential of EOSC by increasing support for research activities through innovative, connected services available in industry in accordance with the EOSC Interoperability Framework is the goal of the RELIANCE project. Thanks to a holistic approach to research management, the project will facilitate access to data and research results (including Copernicus data) as well as their exploration, and it will streamline the process of obtaining required information by managing the research life cycle while simultaneously promoting FAIR principles and open science. The services offered are based on three complementary technologies: Research Objects (RO) as the overarching mechanism for managing research activities on the ROHub platform belonging to PCSS; data cubes as a mechanism enabling efficient and scalable access to and exploration of Earth observation data; and text mining and semantic enrichment services that allow for the extraction of machine-readable metadata from scientific sources. Within the EOSC cloud, RELIANCE project services will be integrated with certain EOSC Core services and value-added services, ensuring that existing services are complemented and utilized as effectively as possible.
In the EOSC-Future project, PCSS is responsible for creating tools based on machine learning to improve navigation in a federated environment of datasets, publications, and other scientific resources. These tools will be a component of the EOSC portal and will be available via API. Furthermore, the work includes creating a broad profile of scientists from various available and, most importantly, accepted sources. EOSC users will receive a dynamic set of recommendations regarding various types of EOSC resources, with the possibility of deeper and more accurate exploration of these resources provided in the FAIR model. The results of this work will be part of a virtual environment for modern science processes. Additionally, the project continues activities to involve small and medium-sized enterprises within the EOSC ecosystem, offering services related to consulting, training, access to technical services and EOSC infrastructure, and the promotion of solutions. As a co-creator of the EOSC DIH, PCSS coordinates pilots involving the creation and testing of new services based on EOSC solutions in cooperation with business partners (mainly SMEs).