Big Data research enables computer-assisted, broadbased generalizations over rich datasets, which cannot be obtained through traditional methods of observation.
these generalizations often come with partially or completely untested assumptions about the irrelevance of potential noise in the data, the nature of which may influence results in ways which remain elusive to the researcher.