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The Process of Practicing Statistical Disclosure Control in Tabular Data at Statistics Sweden

The Process of Practicing Statistical Disclosure Control in Tabular Data at Statistics Sweden. Q2010 Helsinki, May 4-6 Ingegerd Jansson, Michael Carlson, Fredrik Bernström. Recent work at Statistics Sweden. SDC in tables – a common process

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The Process of Practicing Statistical Disclosure Control in Tabular Data at Statistics Sweden

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  1. The Process of Practicing Statistical Disclosure Control in Tabular Data at Statistics Sweden Q2010 Helsinki, May 4-6 Ingegerd Jansson, Michael Carlson, Fredrik Bernström

  2. Recent work at Statistics Sweden • SDC in tables – a common process • Handbook on statistical disclosure control for tabular data • Software • Training • Future work

  3. SDC in tables - a common process Damage assessment 1. Disclosure risk assessment No Protection required? Table speci-fication ”Publish” 2. Damage risk assessment Yes Yes Table re-design 4. Utility assessment 3. Protect table Acceptable? No

  4. Handbook on SDC for tabular data The Handbook describes - the common process - preliminaries and some theory - a structure to guide in decision-making The Handbook does not describe - theory in detail (links to ESSNet handbook and other relevant sources) - software in detail

  5. Handbook on SDC for tabular data- a structure to guide in decision-making Four entrances: • Type of table: frequency, magnitude • Type of data: total enumeration, sample survey Frequency tables: • Key variables • Key and target variables Magnitude tables: • Non-negative magnitudes • Negative magnitudes Other aspects where appropriate: type of target object, variable properties, non-response, linked tables, etc

  6. Handbook on SDC for tabular data- a structure to guide in decision-making For each category of tables, the goal is to describe: • Risk scenario • Appropriate methods and parameter values for assessment of risk in table • Appropriate methods and parameter values for protection of table • Implementation and computer aid • Example

  7. Software • So far: τ-Argus, SuperCross and SAS • Project on how to use and incorporate τ-Argus: • evaluate the functionality of τ-Argus with respect to the requirements at Statistics Sweden, i.e. different types of tables and situations (given by the structure of the handbook) • evaluate how to incorporate τ-Argus with the present and planned production system at Statistics Sweden • The goal is that τ-Argus (or any other software) should work smoothly within the production process. This pertains both to technical solutions and to the work process .

  8. PC HTML-report Logfile Outputfile(s) (CSV) .... T-Argus .NET SuperCross Command SAS Metadata Data Software- t-ARGUS and SAS

  9. Training • Statistical methodologist: • two-day introductory course that will be followed up by other types of training • should be able to assist in design, testing and production where necessary • Survey managers/statisticians: • general overview of statistical disclosure control and in particular of the proposed process for SDC

  10. Why are we doing this? • To ensure that protection is actually being carried out where necessary, and that it is being done in a manner that follows best practices • Standardized production → no need to invent the wheel over and over again • Standardized tools → simplified implementation and maintenance • ISO 20252 standard on market, opinion, and social research

  11. Future work • Further development of technical support • Model for continued management • The 2011 Census • Micro data

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