Disclosure control and data dissemination

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All (6) ((6 results))

  • 1. A Modern Job Submission Application to Access IAB’s Confidential Administrative and Survey Research Data Archived
    Articles and reports: 11-522-X201700014732
    Description:

    The Institute for Employment Research (IAB) is the research unit of the German Federal Employment Agency. Via the Research Data Centre (FDZ) at the IAB, administrative and survey data on individuals and establishments are provided to researchers. In cooperation with the Institute for the Study of Labor (IZA), the FDZ has implemented the Job Submission Application (JoSuA) environment which enables researchers to submit jobs for remote data execution through a custom-built web interface. Moreover, two types of user-generated output files may be distinguished within the JoSuA environment which allows for faster and more efficient disclosure review services.

    Release date: 2016-03-24
  • 2. Providing spatial data for secondary analysis: issues and current practices relating to confidentiality Archived
    Articles and reports: 11-522-X20050019433
    Description:

    Spatially explicit data pose a series of opportunities and challenges for all the actors involved in providing data for long-term preservation and secondary analysis - the data producer, the data archive, and the data user.

    Release date: 2007-03-02
  • 3. Anonymisation and release of the EU-SILC database: confidentiality issues in an international environment Archived
    Articles and reports: 11-522-X20050019484
    Description:

    The presentation reviewed the methodological problems related to the anonymisation of a European database, problems enhanced by the multiplicity of perceptions and realities of disclosure risk encountered in the different countries. Best practices are benchmarked against the practical issues. The presentation detailed, first, the Eurostat policy and practical arrangements taken with respect to the release of EU-SILC micro data base and, second, the methodological options taken to anonymise the database. The close inter-relation between these two aspects is highlighted in the presentation. The solution realises a trade off between the reduction of disclosure risk in each national component and the utility of released micro data by preserving information content and harmonisation of procedures used. The future perspectives with respect to European micro data release were also discussed.

    Release date: 2007-03-02
  • 4. Conceptual model for the definitional metadata of a statistical agency Archived
    Articles and reports: 11-522-X20030017606
    Description:

    This paper presents the Framework for Subject Matter Standards (FSMS), which shows a global picture of the statistical units and variables used at Statistics Canada. The FSMS also provides a framework for organizing the metadata and structuring the definitions in the Integrated Metadatabase (IMDB).

    Release date: 2005-01-26
  • 5. Statistical disclosure control for tables: Determining which method to use Archived
    Articles and reports: 11-522-X20030017690
    Description:

    This paper analyses several important statistical disclosure control (SDC) methods for tables with respect to confidentiality rules, development time and runtime of the software used, and the way tables are used.

    Release date: 2005-01-26
  • 6. On disclosure protection for non-traditional statistical outputs: kernel density estimators Archived
    Articles and reports: 11-522-X20010016287
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    In this paper we discuss a specific component of a research agenda aimed at disclosure protections for "non-traditional" statistical outputs. We argue that these outputs present different disclosure risks than normally faced and hence may require new thinking on the issue. Specifically, we argue that kernel density estimators, while powerful (high quality) descriptions of cross-sections, pose potential disclosure risks that depend materially on the selection of bandwidth. We illustrate these risks using a unique, non-confidential data set on the statistical universe of coal mines and present potential solutions. Finally, we discuss current practices at the U.S. Census Bureau's Center for Economic Studies for performing disclosure analysis on kernel density estimators.

    Release date: 2002-09-12
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Analysis (6)

Analysis (6) ((6 results))

  • 1. A Modern Job Submission Application to Access IAB’s Confidential Administrative and Survey Research Data Archived
    Articles and reports: 11-522-X201700014732
    Description:

    The Institute for Employment Research (IAB) is the research unit of the German Federal Employment Agency. Via the Research Data Centre (FDZ) at the IAB, administrative and survey data on individuals and establishments are provided to researchers. In cooperation with the Institute for the Study of Labor (IZA), the FDZ has implemented the Job Submission Application (JoSuA) environment which enables researchers to submit jobs for remote data execution through a custom-built web interface. Moreover, two types of user-generated output files may be distinguished within the JoSuA environment which allows for faster and more efficient disclosure review services.

    Release date: 2016-03-24
  • 2. Providing spatial data for secondary analysis: issues and current practices relating to confidentiality Archived
    Articles and reports: 11-522-X20050019433
    Description:

    Spatially explicit data pose a series of opportunities and challenges for all the actors involved in providing data for long-term preservation and secondary analysis - the data producer, the data archive, and the data user.

    Release date: 2007-03-02
  • 3. Anonymisation and release of the EU-SILC database: confidentiality issues in an international environment Archived
    Articles and reports: 11-522-X20050019484
    Description:

    The presentation reviewed the methodological problems related to the anonymisation of a European database, problems enhanced by the multiplicity of perceptions and realities of disclosure risk encountered in the different countries. Best practices are benchmarked against the practical issues. The presentation detailed, first, the Eurostat policy and practical arrangements taken with respect to the release of EU-SILC micro data base and, second, the methodological options taken to anonymise the database. The close inter-relation between these two aspects is highlighted in the presentation. The solution realises a trade off between the reduction of disclosure risk in each national component and the utility of released micro data by preserving information content and harmonisation of procedures used. The future perspectives with respect to European micro data release were also discussed.

    Release date: 2007-03-02
  • 4. Conceptual model for the definitional metadata of a statistical agency Archived
    Articles and reports: 11-522-X20030017606
    Description:

    This paper presents the Framework for Subject Matter Standards (FSMS), which shows a global picture of the statistical units and variables used at Statistics Canada. The FSMS also provides a framework for organizing the metadata and structuring the definitions in the Integrated Metadatabase (IMDB).

    Release date: 2005-01-26
  • 5. Statistical disclosure control for tables: Determining which method to use Archived
    Articles and reports: 11-522-X20030017690
    Description:

    This paper analyses several important statistical disclosure control (SDC) methods for tables with respect to confidentiality rules, development time and runtime of the software used, and the way tables are used.

    Release date: 2005-01-26
  • 6. On disclosure protection for non-traditional statistical outputs: kernel density estimators Archived
    Articles and reports: 11-522-X20010016287
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    In this paper we discuss a specific component of a research agenda aimed at disclosure protections for "non-traditional" statistical outputs. We argue that these outputs present different disclosure risks than normally faced and hence may require new thinking on the issue. Specifically, we argue that kernel density estimators, while powerful (high quality) descriptions of cross-sections, pose potential disclosure risks that depend materially on the selection of bandwidth. We illustrate these risks using a unique, non-confidential data set on the statistical universe of coal mines and present potential solutions. Finally, we discuss current practices at the U.S. Census Bureau's Center for Economic Studies for performing disclosure analysis on kernel density estimators.

    Release date: 2002-09-12
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