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:
- Data Resolution
- Data Structure
- Data Integration
- Temporal Relevance
- Chronology of Data and Goal
For a new book on InfoQ, see http://www.wiley.com/go/information_quality
For a Wikipidia entry on InfoQ,
For a Facebook page on InfoQ,
For a LinkedIn article about the InfoQ book,