About InfoQ

The concept of Information Quality (InfoQ) is defined as the potential of a dataset to achieve a specific (scientific or practical) goal using a given empirical analysis method
InfoQ is different from data quality and analysis quality, but is dependent on these components and on the relationship between them. 
There are various statistical methods for increasing InfoQ at the study-design and post-data-collection stages -- how are these related to InfoQ?
Kenett and Shmueli (2012) proposed eight dimensions to help assess InfoQ: 

30-min webinar on InfoQ (Royal Statistical Society, 2013)

  1. Data Resolution
  2. Data Structure
  3. Data Integration
  4. Temporal Relevance
  5. Chronology of Data and Goal
  6. Generalizability
  7. Operationalization
  8. Communication. 
Formalizing the concept of InfoQ increases the value of statistical analysis and data mining, both methodologically and practically. It is a foundation element in Data Science.

For a Facebook page on InfoQ, see https://www.facebook.com/infoQbook