Data Quality Assessment and Labelling, Data Quality Maturity and Improvement for FAIRification Process

Data Quality Assessment and Labelling, Data Quality Maturity and Improvement for FAIRification Process

This service provides quantitative and qualitative data quality assessment, evaluating fitness-for-purpose and organisational data maturity across research datasets and sources. Using federated execution tools, it conducts local analyses of core quality dimensions, metadata (e.g. provenance, extraction workflows), and data mapping. The service also offers support for quality improvement, bias mitigation, and online education. Outputs include a structured report with detailed findings on dataset quality and organisational maturity, alongside actionable recommendations to enhance both dataset-level quality and institutional practices.