Microdata provides information on a set of variables for each respondent in a dataset, where respondents can be individuals, households or establishments. In humanitarian settings, this type of data is gathered through exercises such as a Multi-Sector Needs Assessment (MSNA), community feedback & perception surveys, and other forms of needs assessments, household surveys, or monitoring activities.
SDC techniques are intended to prevent identity and attribute disclosure. Identity disclosure occurs when it is possible to associate a known individual with a released data record. Attribute disclosure occurs when it is possible to determine some new characteristics of an individual based on the information available in the released data
SDC techniques are not intended to prevent a third type of disclosure - inferential disclosure. Inferential disclosure occurs when it is possible to determine the value of some characteristic of an individual more accurately with the released data than would otherwise have been possible.
Statistical Disclosure Control is a technique used in statistics to assess and limit the risk of re-identification. The first step in this process is a disclosure risk assessment. This tutorial covers the steps required to conduct that risk assessment.