Beschreibung

"Kreuter and Peng open Part III, an the statistical framework, with a discussion of the new statistical challenges associated with inference in the context of big data. They begin by noting that reliable statistical inference requires an understanding of the data-generating process. That process is not well understood in the case of big data, so it is important that researchers be given access to the source data so that coverage and quality issues can be identified and addressed. Standard statistical disclosure limitations are unlikely to work, because an important feature of big data is the ability to examine different, targeted populations, which often have unique and easily re-identifiable characteristics." (Text excerpt, IAB-Doku) ((en))