Collaboratively Achieving Quality Data in the Big Data Era
With big data becoming ubiquitous, ensuring diverse data sets are high quality is a more prevalent yet ambiguous task. Accuracy and validity depend on the data source. Thresholds of acceptability vary on intended use. The importance of quality varies between cases. In this talk, we discuss a method employed to collaboratively gather data quality measurements and checks from data experts.
Stephanie Mertz, Two Sigma