>

Data Catalogue Tool 

Helping organisations discover and evaluate datasets for AI development and research through a structured, high-quality Metadata Catalogue.
Access the Luxembourg Ai Factory Dataset Catalogue

What it is and why it matters

Finding relevant datasets is often one of the first challenges when developing AI solutions or conducting data-driven research. Datasets may exist across multiple platforms, repositories, and data spaces, making it difficult to identify and assess which data sources are suitable for a specific use case.

The Data Catalogue Tool provides access to a structured metadata catalogue that helps organisations discover, identify, and evaluate datasets relevant for AI development and research. By offering structured information about available datasets, the tool helps organisations identify and evaluate secondary data sources that may support their projects and AI solution development.

How can Luxembourg AI Factory help 

Through the Data Catalogue Tool, we provide access to a structured Metadata Catalogue that improves the visibility and discoverability of datasets across different data sources.

The catalogue helps organisations explore dataset characteristics and identify potential data sources that may support research initiatives, AI development, or data-driven innovation.

What you can expect 

  1. Structured dataset discovery 
    Access to a metadata catalogue that helps you discover datasets relevant for AI development and research.
  2. Dataset exploration and evaluation 
    Visibility of key dataset characteristics that support the identification and evaluation of potential data sources.
  3. Support for secondary data discovery 
    Tools that help organisations identify datasets that may be reused for new research initiatives or AI applications.
  4. Improved dataset visibility 
    A structured catalogue that helps data holders increase the discoverability of their datasets.

Who it is for

This service benefits both data users and data holders within the AI and research ecosystem.

It supports data users seeking datasets for AI development, research, or data-driven innovation, helping them discover and evaluate relevant data sources.

It also supports data holders who wish to increase the discoverability and visibility of their datasets through a structured metadata catalogue.