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 four powerful functional layers:
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Data Lifecycle Management
Replicate, catalogue, and manage datasets from RI holdings into scalable e-infrastructures on demand. Includes the ability to delete replicas after use to optimise storage.
Powered by: RUCIO, FTS, ESGF Data Statistics Service, ESGF Search
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AI-Ready Computational Environments
Develop, train, validate, or import advanced AI models using big RI datasets. Run inference in containerised, scalable environments optimised for performance and reproducibility.
Powered by: itwinai, AI4HPC, BioEngine, BioImage Model Zoo, Hypha
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Trust and Identity Management
Federated and secure access to data, software, and compute resources, with clear session separation and policy-based access control across all system layers.
Powered by: Check-in, Keycloak, Federation Registry, INDIGO-IAM, Life Science AAI
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Credit & Resource Management
Track and manage compute and data usage through a credit system. Supports monitoring, accounting, and enforcement of usage policies for fair and sustainable access.
Powered by: ARGO Accounting
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.
Resource & Asset Discovery
Easily browse and locate available datasets, models, and tools within each DEP instance.
User Interfaces
Access all DEP services through intuitive, integrated interfaces designed to simplify your workflows—whether you’re browsing data, training AI models, or managing resources.
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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