Methods for statistical disclosure limitation have appeared in the published literature for over
twenty years and in many cases have been incorporated into the practices of national statistical
organizations. This paper presents the authors' views on establishing a research agenda that
combines agency needs and potential advantages to respondents and data users. Separately for
tabular data and microdata, the disclosure problem is discussed, methods and current practice are
reviewed, and an agenda for research is presented. Issues regarding the effects of disclosure
limitation on data quality and usefulness are examined. Disclosure limitation methods regarded as
superior and suitable for general use are identified and the development and dissemination of
corresponding statistical software is recommended.