>

Data quality and curation

Support for organisations in assessing, improving, and preparing datasets for AI model training and analysis.

What it is and why it matters

An AI model is only as good as the data used to train it. However, many datasets are not of adequate quality when first assessed.

Preparing datasets for AI development often requires improving their quality, structure, and consistency. Data curation helps ensure that datasets can effectively support AI model training and reliable analysis.

How can Luxembourg AI Factory help 

We provide data quality and curation services to help organisations assess and improve the quality of their datasets before they are used in AI model development.

By preparing and curating datasets, the service facilitates access to high-quality data while helping organisations comply with regulations governing the secondary use of data.

This capability builds on the Data Quality and Curation service delivered by Luxembourg National Data Service (LNDS).

What you can expect 

  1. Assessment of dataset quality
    Evaluation of datasets to identify issues related to structure, completeness, or consistency.
  2. Curated datasets for AI development
    Preparation and organisation of datasets to improve their suitability for AI model training.
  3. Improved data usability
    Datasets prepared in a way that facilitates analysis and reduces time spent on data preparation.
  4. Compliance with secondary data use requirements
    Processes aligned with regulations governing the secondary use of data.

Who it is for

Organisations developing AI models or data analysis projects that require high-quality datasets prepared for training or analysis.