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- 1. ABS DataLab output checking tools ArchivedArticles and reports: 11-522-X202200100006Description: The Australian Bureau of Statistics (ABS) is committed to improving access to more microdata, while ensuring privacy and confidentiality is maintained, through its virtual DataLab which supports researchers to undertake complex research more efficiently. Currently, the DataLab research outputs need to follow strict rules to minimise disclosure risks for clearance. However, the clerical-review process is not cost effective and has potential to introduce errors. The increasing number of statistical outputs from different projects can potentially introduce differencing risks even though these outputs from different projects have met the strict output rules. The ABS has been exploring the possibility of providing automatic output checking using the ABS cellkey methodology to ensure that all outputs across different projects are protected consistently to minimise differencing risks and reduce costs associated with output checking.Release date: 2024-03-25
- Surveys and statistical programs – Documentation: 32-26-0006Description: This report provides data quality information pertaining to the Agriculture–Population Linkage, such as sources of error, matching process, response rates, imputation rates, sampling, weighting, disclosure control methods and data quality indicators.Release date: 2023-08-25
- 3. Data Quality as Fitness for Use ArchivedStats in brief: 89-20-00062023001Description: This course is intended for Government of Canada employees who would like to learn about evaluating the quality of data for a particular use. Whether you are a new employee interested in learning the basics, or an experienced subject matter expert looking to refresh your skills, this course is here to help.Release date: 2023-07-17
- Articles and reports: 98-20-00012021003Description:
This fact sheet provides a concise description of the context to the understanding of confidence intervals. Confidence intervals are a useful data quality indicator. Confidence intervals will usually be available in data tables accessible through the Statistics Canada website.
Release date: 2022-09-21 - Articles and reports: 11-522-X200800011014Description:
In many countries, improved quality of economic statistics is one of the most important goals of the 21st century. First and foremost, the quality of National Accounts is in focus, regarding both annual and quarterly accounts. To achieve this goal, data quality regarding the largest enterprises is of vital importance. To assure that the quality of data for the largest enterprises is good, coherence analysis is an important tool. Coherence means that data from different sources fit together and give a consistent view of the development within these enterprises. Working with coherence analysis in an efficient way is normally a work-intensive task consisting mainly of collecting data from different sources and comparing them in a structured manner. Over the last two years, Statistics Sweden has made great progress in improving the routines for coherence analysis. An IT tool that collects data for the largest enterprises from a large number of sources and presents it in a structured and logical matter has been built, and a systematic approach to analyse data for National Accounts on a quarterly basis has been developed. The paper describes the work in both these areas and gives an overview of the IT tool and the agreed routines.
Release date: 2009-12-03 - Surveys and statistical programs – Documentation: 81-595-M2007056Geography: CanadaDescription: This handbook discusses the collection and interpretation of statistical data on Canada's trade in culture services.Release date: 2007-10-31
- Articles and reports: 11-522-X20030017604Description:
This paper explains the scope, objectives and challenges of research and analysis on operations at Statistics Canada and gives some examples of the work accomplished to date.
Release date: 2005-01-26 - Surveys and statistical programs – Documentation: 81-595-M2004020Geography: CanadaDescription:
This article discusses the collection and interpretation of statistical data on Canada's trade in culture goods. It defines the products that are included in culture trade and explains how appropriate products are selected from the relevant classification standards.
This version has been replaced by Culture Goods Trade Data User Guide, Catalogue No. 81-595-MIE2006040.
Release date: 2004-07-28
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- 1. ABS DataLab output checking tools ArchivedArticles and reports: 11-522-X202200100006Description: The Australian Bureau of Statistics (ABS) is committed to improving access to more microdata, while ensuring privacy and confidentiality is maintained, through its virtual DataLab which supports researchers to undertake complex research more efficiently. Currently, the DataLab research outputs need to follow strict rules to minimise disclosure risks for clearance. However, the clerical-review process is not cost effective and has potential to introduce errors. The increasing number of statistical outputs from different projects can potentially introduce differencing risks even though these outputs from different projects have met the strict output rules. The ABS has been exploring the possibility of providing automatic output checking using the ABS cellkey methodology to ensure that all outputs across different projects are protected consistently to minimise differencing risks and reduce costs associated with output checking.Release date: 2024-03-25
- 2. Data Quality as Fitness for Use ArchivedStats in brief: 89-20-00062023001Description: This course is intended for Government of Canada employees who would like to learn about evaluating the quality of data for a particular use. Whether you are a new employee interested in learning the basics, or an experienced subject matter expert looking to refresh your skills, this course is here to help.Release date: 2023-07-17
- Articles and reports: 98-20-00012021003Description:
This fact sheet provides a concise description of the context to the understanding of confidence intervals. Confidence intervals are a useful data quality indicator. Confidence intervals will usually be available in data tables accessible through the Statistics Canada website.
Release date: 2022-09-21 - Articles and reports: 11-522-X200800011014Description:
In many countries, improved quality of economic statistics is one of the most important goals of the 21st century. First and foremost, the quality of National Accounts is in focus, regarding both annual and quarterly accounts. To achieve this goal, data quality regarding the largest enterprises is of vital importance. To assure that the quality of data for the largest enterprises is good, coherence analysis is an important tool. Coherence means that data from different sources fit together and give a consistent view of the development within these enterprises. Working with coherence analysis in an efficient way is normally a work-intensive task consisting mainly of collecting data from different sources and comparing them in a structured manner. Over the last two years, Statistics Sweden has made great progress in improving the routines for coherence analysis. An IT tool that collects data for the largest enterprises from a large number of sources and presents it in a structured and logical matter has been built, and a systematic approach to analyse data for National Accounts on a quarterly basis has been developed. The paper describes the work in both these areas and gives an overview of the IT tool and the agreed routines.
Release date: 2009-12-03 - Articles and reports: 11-522-X20030017604Description:
This paper explains the scope, objectives and challenges of research and analysis on operations at Statistics Canada and gives some examples of the work accomplished to date.
Release date: 2005-01-26
Reference (3)
Reference (3) ((3 results))
- Surveys and statistical programs – Documentation: 32-26-0006Description: This report provides data quality information pertaining to the Agriculture–Population Linkage, such as sources of error, matching process, response rates, imputation rates, sampling, weighting, disclosure control methods and data quality indicators.Release date: 2023-08-25
- Surveys and statistical programs – Documentation: 81-595-M2007056Geography: CanadaDescription: This handbook discusses the collection and interpretation of statistical data on Canada's trade in culture services.Release date: 2007-10-31
- Surveys and statistical programs – Documentation: 81-595-M2004020Geography: CanadaDescription:
This article discusses the collection and interpretation of statistical data on Canada's trade in culture goods. It defines the products that are included in culture trade and explains how appropriate products are selected from the relevant classification standards.
This version has been replaced by Culture Goods Trade Data User Guide, Catalogue No. 81-595-MIE2006040.
Release date: 2004-07-28