Data Quality & AI: Automated Data Validation and Cleaning

Data quality is essential for informed decision-making in areas such as Vocational Education and Training (VET), employment, and the analysis of living conditions. We are pleased to present a new tool designed to support the automated validation and cleaning of data using artificial intelligence–based approaches.

🔧 What is the tool?

The tool is a data linter developed in R, designed to:

• Detect inconsistencies and errors

• Identify potential data quality issues

• Support automated data validation and cleaning

👉 Explore the presentation from our “Data Quality & AI” event, where Corneliu Cofaru introduced an R-based tool to improve data quality through automated validation and cleaning.

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