ExpectedOutcome:
Project results are expected to contribute to all the following expected outcomes:
- Next generation EOSC provides researchers with the means to easily access complete datasets and analysis platforms and provide services that support reproducibility, as well as ensuring long-term preservation and long-term availability of these research data and tools.
- Ecosystem of novel tools and services, as many new FAIR-by-design datasets as possible, whereby researchers are able to deliver much more rapidly the outputs of each part of the research lifecycle, including data and software, with the same level of precision as they deliver publications today.
- Enhanced services and tools for researchers to lower the bar and underpin the initial research planning and preparation phase (i.e. entry phase) of the research lifecycle.
Scope:
The aim is to provide researchers with a set of highly innovative new services via the EOSC Exchange. These would exploit, in a structural way, the cloud-based EOSC Core technologies and horizontal European compute and data management capacities that are part of the Minimum Viable EOSC platform in production.
To be customizable and scalable, all developments should be tested against 2-3 real life use cases from a variety of scientific domains. The proposals should cooperate with the EOSC Testbed facility (to be funded under HORIZON-INFRA-2023-EOSC-01-04) as well as other relevant and related projects and e-Infrastructures and large user communities. Joint use cases and testing across individual project boundaries are encouraged.
Proposals are expected to cover the following activities in the order of priorities from high to low:
- Improve the technology readiness level (TRL) of the EOSC Exchange components in testing, development and staging. Add new features based on the evolving requirements from research communities, where possible, prioritizing open source software and tools for wide availability and uptake.
- Further develop the ecosystem of research data and related services, covering the whole data lifecycle, from discovery and mining to storage, management, analysis and reuse.
- Facilitate the collection and analysis of heterogeneous and/or large-scale data sets right from the sources where they are produced.
- Support automatic production of FAIR data at the research instruments and support infrastructures by metadata automation tools and techniques available via EOSC Exchange.
- Add layers to the federated EOSC Data Lake that collects unstructured, semi-structured and structured data sets in order to provide customizable Data Warehouse and Data Mart services used by researchers to prepare for data analytics.
- Support data streaming and real-time data management and analytics integration into EOSC Exchange. Provide an integrated workflow for historical batch data and real-time streaming data management and analytics.
- Propose scalable and reliable messaging/even hubs, based on the publish-subscribe principle, for real-time data sources to be integrated into EOSC.
The proposed services should be integrated in the EOSC Exchange service platformand proposals should include sufficient provisions to address the integration, including appropriate IPR and licence agreements. The resources that the services will offer should be clearly identified in the proposals. The sustainability model for the long-term availability of services can rely on EOSC. Participation of the private sector, in particular SMEs, is recommended for both the development and further exploitation of the project results. In this topic the integration of the gender dimension (sex and gender analysis) in research and innovation content is not a mandatory requirement.
