Data Quality Literacy Guidebook
It covers topics including evaluating data quality: challenges and competencies, quality assurance in data creation, understanding and evaluating governmental data (U.S. and International), commercial data quality issues, data quality: reproducibility and preservation, data quality: evolving employer expectations.
