A New R-Based Tool to Improve Data Quality: Join the Evaluation Process
Data quality is essential for informed decision-making in areas such as Vocational Education and Training (VET), employment, and the analysis of living conditions. As part of the AIVET project, we are pleased to present a new tool designed to support the automated validation and cleaning of data.
Developed with the support of the Erasmus+ Programme of the European Commission, this tool contributes to AIVET’s mission to promote the use of artificial intelligence–based solutions for more efficient data management.
What is the tool?
The tool is a data linter developed in R, designed to detect inconsistencies, errors, and potential quality issues in datasets.
Although it was initially created for the Integrated Database on VET Work-Based Learning Placements managed by the General Council of Chambers of Commerce of Catalonia, the linter is highly adaptable and can be applied to many other types of datasets, particularly those related to social, educational, and labour-market data.
Who is it for?
- This tool may be especially useful for:
- Data analysts and data scientists
- Technical teams working with administrative or statistical data
- Researchers in VET, employment, and public policy
- Institutions managing complex or large-scale datasets
Access the tool and documentation
Get in touch
If you have any questions, feel free to contact us. We greatly appreciate your interest and contribution to improving data quality and data-driven decision-making.