Disclosure control and data dissemination

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  • Articles and reports: 11-522-X201700014719
    Description:

    Open Data initiatives are transforming how governments and other public institutions interact and provide services to their constituents. They increase transparency and value to citizens, reduce inefficiencies and barriers to information, enable data-driven applications that improve public service delivery, and provide public data that can stimulate innovative business opportunities. As one of the first international organizations to adopt an open data policy, the World Bank has been providing guidance and technical expertise to developing countries that are considering or designing their own initiatives. This presentation will give an overview of developments in open data at the international level along with current and future experiences, challenges, and opportunities. Mr. Herzog will discuss the rationales under which governments are embracing open data, demonstrated benefits to both the public and private sectors, the range of different approaches that governments are taking, and the availability of tools for policymakers, with special emphasis on the roles and perspectives of National Statistics Offices within a government-wide initiative.

    Release date: 2016-03-24

  • 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

  • Articles and reports: 11-522-X200600110431
    Description:

    We describe statistical disclosure control methods (SDC) developed for a public release Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP) micro-data file. CHIRPP is a national injury surveillance database managed by the Public Health Agency of Canada (PHAC). After describing CHIRPP, the paper includes a brief overview of basic SDC concepts, as an introduction to the process for selecting and developing the appropriate SDC methods for CHIRPP given its specific challenges and requirements. We then summarize some key results. The paper concludes with a discussion of the implication of this work for the health information field and closing remarks with respect to the some methodological issues for consideration.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X20050019438
    Description:

    A variety of standards for documenting the contents of data files have evolved over time, each with their own constituency and users. The Data Documentation Initiative (DDI) is an effort to establish an international XML-based standard for the content, presentation, transport, and preservation of documentation for datasets in the social and behavioural sciences.

    Release date: 2007-03-02

  • Articles and reports: 11-522-X20010016282
    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.

    The Discharge Abstract Database (DAD) is one of the key data holdings held by the Canadian Institute for Health Information (CIHI). The institute is a national, not-for-profit organization, which plays a critical role in the development of Canada's health information system. The DAD contains acute care discharge data from most Canadian hospitals. The data generated are essential for determining, for example, the number and types of procedures and the length of hospital stays. CIHI is conducting the first national data quality study of selected clinical and administrative data from the DAD. This study is evaluating and measuring the accuracy of the DAD by returning to the original data sources and comparing this information with what exists in the CIHI database, in order to identify any discrepancies and their associated reasons. This paper describes the DAD data quality study and some preliminary findings. The findings are also briefly compared with another similar study. In conclusion, the paper discusses subsequent steps for the study and how the findings from the first year are contributing to improvements in the quality of the DAD.

    Release date: 2002-09-12
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  • Articles and reports: 11-522-X201700014719
    Description:

    Open Data initiatives are transforming how governments and other public institutions interact and provide services to their constituents. They increase transparency and value to citizens, reduce inefficiencies and barriers to information, enable data-driven applications that improve public service delivery, and provide public data that can stimulate innovative business opportunities. As one of the first international organizations to adopt an open data policy, the World Bank has been providing guidance and technical expertise to developing countries that are considering or designing their own initiatives. This presentation will give an overview of developments in open data at the international level along with current and future experiences, challenges, and opportunities. Mr. Herzog will discuss the rationales under which governments are embracing open data, demonstrated benefits to both the public and private sectors, the range of different approaches that governments are taking, and the availability of tools for policymakers, with special emphasis on the roles and perspectives of National Statistics Offices within a government-wide initiative.

    Release date: 2016-03-24

  • 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

  • Articles and reports: 11-522-X200600110431
    Description:

    We describe statistical disclosure control methods (SDC) developed for a public release Canadian Hospitals Injury Reporting and Prevention Program (CHIRPP) micro-data file. CHIRPP is a national injury surveillance database managed by the Public Health Agency of Canada (PHAC). After describing CHIRPP, the paper includes a brief overview of basic SDC concepts, as an introduction to the process for selecting and developing the appropriate SDC methods for CHIRPP given its specific challenges and requirements. We then summarize some key results. The paper concludes with a discussion of the implication of this work for the health information field and closing remarks with respect to the some methodological issues for consideration.

    Release date: 2008-03-17

  • Articles and reports: 11-522-X20050019438
    Description:

    A variety of standards for documenting the contents of data files have evolved over time, each with their own constituency and users. The Data Documentation Initiative (DDI) is an effort to establish an international XML-based standard for the content, presentation, transport, and preservation of documentation for datasets in the social and behavioural sciences.

    Release date: 2007-03-02

  • Articles and reports: 11-522-X20010016282
    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.

    The Discharge Abstract Database (DAD) is one of the key data holdings held by the Canadian Institute for Health Information (CIHI). The institute is a national, not-for-profit organization, which plays a critical role in the development of Canada's health information system. The DAD contains acute care discharge data from most Canadian hospitals. The data generated are essential for determining, for example, the number and types of procedures and the length of hospital stays. CIHI is conducting the first national data quality study of selected clinical and administrative data from the DAD. This study is evaluating and measuring the accuracy of the DAD by returning to the original data sources and comparing this information with what exists in the CIHI database, in order to identify any discrepancies and their associated reasons. This paper describes the DAD data quality study and some preliminary findings. The findings are also briefly compared with another similar study. In conclusion, the paper discusses subsequent steps for the study and how the findings from the first year are contributing to improvements in the quality of the DAD.

    Release date: 2002-09-12
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