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Luxembourg-Luxembourg: Managed Services for the European Open Science Cloud Platform - CNECT/LUX/2022/CD/0023
Prior information notice
This notice is for prior information only
Section I: Contracting authority
Section II: Object
Managed Services for the European Open Science Cloud Platform - CNECT/LUX/2022/CD/0023
The European Open Science Cloud (EOSC) aims to achieve a federation of infrastructures providing seamless access to interoperable research objects and value-added services for the whole research data cycle, from discovery to storage, management, analysis and reuse. The procurement is to build and deploy an operational, secure, cloud-based EOSC infrastructure, including a federated EOSC Core Platform and the EOSC Exchange, offering high quality professional services and superior user experience for a large number of users, with the functionalities available 24/7. It should build on the key concepts of federation, standards and processes for Open Science, such as the EOSC Interoperability Framework, FAIR-by-design data, and composable services. The contractor(s) should work closely with the EOSC Association and its members, the European Commission, and the representatives of the EU Member States and associated countries under the EOSC Co-programmed Partnership and Tripartite Governance.
Managed Services for the Development, Integration, Deployment and Operations of the Federated EOSC Core Platform
The EOSC Core Platform consists of a set of tools and services that allow the EOSC federation to operate. It includes an EOSC Core Technology Platform that facilitates EOSC operations via state-of-the-art functional components, such as Web portal (CMS), training platform (LMS), online marketplace (e-Commerce), AAI federation, PID resolution, multifaceted resource registries, knowledge graph, monitoring solution, accounting system and helpdesk, upon which researcher-facing resources in the EOSC Exchange can rely and integrate with as appropriate. It also includes non-technical EOSC Core coordination functions that operate and facilitate the technical platform, such as IT service management, security coordination, policy enforcement, order management, on-boarding and relationship management. The contractor(s) should ensure platform evolution and development related services, hosting environments, system integration, service operations, maintenance and support activities, as well as the necessary takeover and handover roles and responsibilities.
Managed Container Platform Service for the EOSC Exchange
Container platforms are broadly defined as software solutions that allow users to manage containerized applications. The managed container platform as a service (PaaS) should provide capabilities such as automation, orchestration, governance, security, customization, and enterprise support for container architectures, in addition to the hosting, operations, maintenance and support of the underlying infrastructure layers.
Managed Collaborative Data Platform Services for the EOSC Exchange
Collaborative data platforms include but not limited to data transfer, synchronization and sharing services. Data transfer services enable the movement of data asynchronously between source and destination storage endpoints, including mechanisms to ensure automatic retry in case of failure and for optimisation of performance for large files and volumes. Enterprise File Sync&Share (EFSS) services allow synchronising and sharing of files on all major mobile and desktop platforms aiming to provide offline availability to any data stored in the underlying storage infrastructure. The managed collaborative data platform as a service portfolio should include integration, deployment, hosting, operations, maintenance and support for the dedicated private service instances.
Managed Interactive Data Analytics Platform and Visualization Services for the EOSC Exchange
Interactive analytics platforms and data science environments are different types of web-based platforms that facilitate the execution of user workloads, code and data in a federated compute infrastructure layer. The platform should include but not limited to multiple programming languages, workload managers to orchestrate large number of jobs, AI/ML frameworks for model training and delivery, notebook frameworks and many interactive visualization tools and libraries. The platform should be compatible with the diverse types of distributed compute resources from the infrastructure layer (e.g., CPUs, GPUs, HTC, HPC, containers) hosted, operated and supported as part of the managed service offer.
Section IV: Procedure
Section VI: Complementary information
This prior information notice announces the intention of the contracting authority to publish a future call for tenders. No other information or documents are available at this stage.