In the first blog post of this series, we explored the growing importance of data quality in the social sciences and introduced a unified framework for assessing data quality dimensions. This post discusses how researchers can evaluate and identify suitable frameworks for testing data quality in applied settings.
New blog post: In the 2nd part of his series about Data Quality, Lukas Birkenmaier writes about suitable frameworks for testing data quality
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