The Data Exploitation Platforms (DEPs) will be an open source, integrated platform designed to unlock the full potential of Research Infrastructure data. Built on open standards, APIs, and protocols—along with their open source implementations—DEPs will offer a modular and scalable solution to make scientific data more accessible and impactful.
Data Exploitation Platform
A Scalable, Open Platform for Scientific Data Valorisation
What is DEP?
DEP extends the core capabilities of Research Infrastructures with advanced tools and infrastructure for data management, AI-driven analysis, and secure access control. Developed collaboratively by RIs, e-infrastructures, technology providers, SMEs, and European Intergovernmental Research Organisations (EIROs), DEPs will be the backbones for next-gen science data valorisation across Europe.
DEP at a Glance
DEP integrates three powerful functional layers:
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Data Lifecycle Management
Efficiently replicate, catalogue, and orchestrate data from RI holdings into scalable e-infrastructures on demand.
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AI-Ready Computational Environments
Train and deploy advanced AI models using big RI datasets—within containerized, scalable environments built for performance.
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Trust and Identity Management
Ensure secure, federated, policy-based access control across datasets, software tools, and hardware resources.
Key Features & Functionalities
Data Orchestration Services
Move and manage large datasets transparently between RIs and compute environments—including HPCs and national clouds.
AI Toolkits & Models
Train new AI models, adapt foundation models, or run ready-to-use apps for classification, data quality improvement, and FAIR-ification.
Federated Access Control
Dynamic, role-based access with fine-grained control over who can do what—based on discipline, institution, region, and policy.
Extensibility
Plug in new frameworks and libraries as needed to adapt to future needs and domains.
Data Space Interoperability
Connect with broader European Data Spaces like EUCAIM, Copernicus, and Destination Earth to enrich local RI datasets.
Monitoring & Efficiency
Energy-efficient design and resource monitoring ensure sustainable deployment of DEP instances and AI workloads.
Real-World Validation
DEP is being co-developed with and validated by four leading Research Infrastructures across environmental and health sciences:
Scientific Use Cases
The scientific use cases demonstrate how the Data and Experiment Platform (DEP) empowers researchers across...
Technological Use Cases
Technological use cases evaluate the DEPs under special conditions that bring additional challenges, focusing on...
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RI-SCALE empowers Research Infrastructures that generate massive amounts of scientific data with the tools they...
