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This book is an edited collection based on a seven-session national forum webinar series on data quality literacy. It covers topics including evaluating data quality: challenges & competencies, quality assurance in data creation, understanding & evaluating governmental data (U.S. & International), commercial data quality issues, data quality: reproducibility and preservation, data quality: evolving employer expectations, and librarians’ role in cultivating data-literate citizens. This book is one of the deliverables of the Institute of Museum and Library Services funded project: Building Capacity of Academic Librarians in Understanding Quantitative Data, Data Quality Problems, and Evaluating Data Quality: A National Forum [RE-252357-OLS-22].
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Liu, G., Bordelon, B., Nagar, R., Sarti, J., Nguyen, U., & Boettcher, J. (2024). Data Quality Literacy: A Guidebook. Institute of Museum and Library Services (IMLS) Grant Project. https://doi.org/10.31219/osf.io/ruawm