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Data Exploration and Selection

Data discovery, Data related services

Expert identification, exploration, and strategic selection of high-value data assets.

  • Discovery & Access: Facilitates exploration of IT4LIA internal catalogues and identifies strategic external repositories.
  • Strategic Guidance: Evaluates data suitability, access conditions, and reuse potential to ensure technical alignment with IT4LIA infrastructure.
  • Seamless Integration: Streamlines the transition to data preparation and downstream AI service activation.
  • Core Expertise: Agrifood, Earth & Climate, Manufacturing, and Cybersecurity.
  • Extended Support: Cultural Heritage, Public Administration, and emerging sectors.

Practical example

An organization aims to develop an AI application but lacks a complete dataset.

This service facilitates, among other activities:

  • Targeted Discovery: Identifying internal IT4LIA assets or searching external repositories based on coverage, format, and accessibility.
  • Scalable Ingestion: Directing users to Massive Data Transfer for efficient integration of large-scale external datasets.
  • Data Enrichment: Recommending Synthetic Data Generation to fill gaps or enrich incomplete datasets prior to AI processing.

Case Study: The service offers specialized support for MeteoHub Integration to Agenzia Italia Meteo, managed by CINECA. The service  enables the acquisition, management, and distribution of critical meteorological data for AI-driven insights.

Service name

Data Exploration and Selection

Service Code

2025-AIF-DATA-01

Keyword

External Repositories, Ingestion Workflows, Dataset Enrichment

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