Disclosure control and data dissemination
Results
All (3)
All (3) ((3 results))
- 1. A Modern Job Submission Application to Access IAB’s Confidential Administrative and Survey Research Data ArchivedArticles and reports: 11-522-X201700014732Description:
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-X201700014735Description:
Microdata dissemination normally requires data reduction and modification methods be applied, and the degree to which these methods are applied depend on the control methods that will be required to access and use the data. An approach that is in some circumstances more suitable for accessing data for statistical purposes is secure computation, which involves computing analytic functions on encrypted data without the need to decrypt the underlying source data to run a statistical analysis. This approach also allows multiple sites to contribute data while providing strong privacy guarantees. This way the data can be pooled and contributors can compute analytic functions without either party knowing their inputs. We explain how secure computation can be applied in practical contexts, with some theoretical results and real healthcare examples.
Release date: 2016-03-24 - Articles and reports: 11-522-X20050019455Description:
The Data Documentation Initiative (DDI) is an internationally developed standard used to develop metadata. The Data Liberation Initiative (DLI) along with partner universities, including the University of Guelph are working towards the goal of creating metadata for all Statistics Canada surveys available to the DLI community.
Release date: 2007-03-02
Data (0)
Data (0) (0 results)
No content available at this time.
Analysis (3)
Analysis (3) ((3 results))
- 1. A Modern Job Submission Application to Access IAB’s Confidential Administrative and Survey Research Data ArchivedArticles and reports: 11-522-X201700014732Description:
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-X201700014735Description:
Microdata dissemination normally requires data reduction and modification methods be applied, and the degree to which these methods are applied depend on the control methods that will be required to access and use the data. An approach that is in some circumstances more suitable for accessing data for statistical purposes is secure computation, which involves computing analytic functions on encrypted data without the need to decrypt the underlying source data to run a statistical analysis. This approach also allows multiple sites to contribute data while providing strong privacy guarantees. This way the data can be pooled and contributors can compute analytic functions without either party knowing their inputs. We explain how secure computation can be applied in practical contexts, with some theoretical results and real healthcare examples.
Release date: 2016-03-24 - Articles and reports: 11-522-X20050019455Description:
The Data Documentation Initiative (DDI) is an internationally developed standard used to develop metadata. The Data Liberation Initiative (DLI) along with partner universities, including the University of Guelph are working towards the goal of creating metadata for all Statistics Canada surveys available to the DLI community.
Release date: 2007-03-02
Reference (0)
Reference (0) (0 results)
No content available at this time.
- Date modified: