Fields · Decision Sciences · Management Science and Operations Research

Data Quality and Management

This cluster of papers focuses on data quality assessment, improvement, and related techniques such as record linkage, data cleaning, entity resolution, information quality benchmarks, and privacy-preserving record linkage. It also covers topics like name disambiguation, data integration, and the challenges of data quality in the era of big data.