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- Articles and reports: 11-522-X20010016282Description:
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 - 2. Disclosure auditing in rounded tables ArchivedArticles and reports: 11-522-X20010016286Description:
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.
It is customary for statistical agencies to audit tables containing suppressed cells in order to ensure that there is sufficient protection against inadvertent disclosure of sensitive information. If the table contains rounded values, this fact may be ignored by the audit procedure. This oversight can result in over-protection, reducing the utility of the published data. This paper provides correct auditing formulation and gives examples of over-protection.
Release date: 2002-09-12 - 3. On disclosure protection for non-traditional statistical outputs: kernel density estimators ArchivedArticles and reports: 11-522-X20010016287Description:
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 - Articles and reports: 11-522-X20010016300Description:
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 Australian Bureau of Statistics (ABS) produces many statistics that help the government and the wider community make more informed decisions. However, if these decisions are to be truly informed, it is essential that the users are able to understand the limitations of the statistics and how to use the data in an appropriate context. As a result, the ABS has initiated a project entitled Qualifying Quality, which focuses on two key directions: presentation and education. Presentation provides people with information about the quality of the data in order to help them answer the question "Are the data fit for the purpose?"; while education assists those people in appreciating the importance of information on quality and knowing how to use such information. In addressing these two issues, the project also aims to develop and identify processes and technical systems that will support and encourage the appropriate use of data.
This paper provides an overview of the presentation and education initiatives which have arisen from this project. The paper then explores the different methods of presentation, the systems that support them, and how the education strategies interact with each other. In particular, the paper comments on the importance of supporting education strategies with well developed systems and appropriate presentation methods.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016301Description:
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 Integrated Metadatabase is a corporate repository of information for each of Statistics Canada's surveys. The information stored in the Integrated Metadatabase includes a description of data sources and methodology, definitions of concepts and variables measured, and indicators of data quality. It provides an effective vehicle for communicating data quality to data users. Its coverage of Statistics Canada's data holdings is exhaustive, the provided information on data quality complies with the Policy on Informing Users of Data Quality and Methodology, and it is presented in a consistent and systematic fashion.
Release date: 2002-09-12 - 6. Communicating quality: discussion ArchivedArticles and reports: 11-522-X20010016302Description:
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.
This session provides three more contributions to the continuing discussion concerning the national statistics offices' response to the topic of quality -in particular, the subtopic of communicating quality. These three papers make the important and necessary assumption that national statistical offices have an obligation to report the limitations of the data; users should know and understand those limitations; and, as a result of understanding the limitations, users ought to be able to determine whether the data are fit for their purposes.
Release date: 2002-09-12
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- Articles and reports: 11-522-X20010016282Description:
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 - 2. Disclosure auditing in rounded tables ArchivedArticles and reports: 11-522-X20010016286Description:
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.
It is customary for statistical agencies to audit tables containing suppressed cells in order to ensure that there is sufficient protection against inadvertent disclosure of sensitive information. If the table contains rounded values, this fact may be ignored by the audit procedure. This oversight can result in over-protection, reducing the utility of the published data. This paper provides correct auditing formulation and gives examples of over-protection.
Release date: 2002-09-12 - 3. On disclosure protection for non-traditional statistical outputs: kernel density estimators ArchivedArticles and reports: 11-522-X20010016287Description:
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 - Articles and reports: 11-522-X20010016300Description:
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 Australian Bureau of Statistics (ABS) produces many statistics that help the government and the wider community make more informed decisions. However, if these decisions are to be truly informed, it is essential that the users are able to understand the limitations of the statistics and how to use the data in an appropriate context. As a result, the ABS has initiated a project entitled Qualifying Quality, which focuses on two key directions: presentation and education. Presentation provides people with information about the quality of the data in order to help them answer the question "Are the data fit for the purpose?"; while education assists those people in appreciating the importance of information on quality and knowing how to use such information. In addressing these two issues, the project also aims to develop and identify processes and technical systems that will support and encourage the appropriate use of data.
This paper provides an overview of the presentation and education initiatives which have arisen from this project. The paper then explores the different methods of presentation, the systems that support them, and how the education strategies interact with each other. In particular, the paper comments on the importance of supporting education strategies with well developed systems and appropriate presentation methods.
Release date: 2002-09-12 - Articles and reports: 11-522-X20010016301Description:
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 Integrated Metadatabase is a corporate repository of information for each of Statistics Canada's surveys. The information stored in the Integrated Metadatabase includes a description of data sources and methodology, definitions of concepts and variables measured, and indicators of data quality. It provides an effective vehicle for communicating data quality to data users. Its coverage of Statistics Canada's data holdings is exhaustive, the provided information on data quality complies with the Policy on Informing Users of Data Quality and Methodology, and it is presented in a consistent and systematic fashion.
Release date: 2002-09-12 - 6. Communicating quality: discussion ArchivedArticles and reports: 11-522-X20010016302Description:
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.
This session provides three more contributions to the continuing discussion concerning the national statistics offices' response to the topic of quality -in particular, the subtopic of communicating quality. These three papers make the important and necessary assumption that national statistical offices have an obligation to report the limitations of the data; users should know and understand those limitations; and, as a result of understanding the limitations, users ought to be able to determine whether the data are fit for their purposes.
Release date: 2002-09-12
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