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  • Stats in brief: 11-629-X2020001
    Description:

    As technology continues to evolve, it is more important now than ever to promote and strengthen security for individuals, governments and businesses to mitigate and prevent complex security threats. As a result of our new digital reality, the nature of crime, and the ways in which law enforcement and emergency response agencies work, are also evolving.

    While technology has the power to enable or facilitate crime, it can also be used as an effective tool to prevent, detect and respond to crime and other emergencies, and contribute to evidence-based decision-making in public safety.

    This panel discussion addresses the changing landscape of community safety, and discuss the role data continues to play in countering cybercrime in our new digital era.

    Release date: 2020-02-14

  • Surveys and statistical programs – Documentation: 12-539-X
    Description:

    This document brings together guidelines and checklists on many issues that need to be considered in the pursuit of quality objectives in the execution of statistical activities. Its focus is on how to assure quality through effective and appropriate design or redesign of a statistical project or program from inception through to data evaluation, dissemination and documentation. These guidelines draw on the collective knowledge and experience of many Statistics Canada employees. It is expected that Quality Guidelines will be useful to staff engaged in the planning and design of surveys and other statistical projects, as well as to those who evaluate and analyze the outputs of these projects.

    Release date: 2019-12-04

  • Stats in brief: 11-627-M2018026
    Description:

    This infographic presents results from the 2017 Canadian Survey of Cyber Security and Cybercrime. It illustrates the preventative measures Canadian businesses use to protect against cybercrime, their reasons for implementing these measures, and the associated costs. As well, it illustrates the impact of cybercrime on Canadian businesses, such as the types of cyber security incidents they experienced and the costs of recovering from those incidents.

    Release date: 2018-10-15

  • Surveys and statistical programs – Documentation: 12-606-X
    Description:

    This is a toolkit intended to aid data producers and data users external to Statistics Canada.

    Release date: 2017-09-27

  • Public use microdata: 56M0003X
    Description:

    The Canadian Internet Use Survey (CIUS) measures the extent and scope to which individual Canadians use the Internet. Survey content includes the location of use (e.g., at home, at work), the frequency and intensity of use, the specific uses of the Internet from the home, the purchase of products and services (electronic commerce), and other issues related to Internet use (such as concerns over privacy). This content is supplemented by information on individual and household characteristics (e.g., age, income, education, family type) and some geographic detail (e.g. province, urban/rural, and Census Metropolitan Area).

    Release date: 2012-11-23

  • 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

  • Articles and reports: 11-522-X20050019435
    Description:

    Data swapping introduces noise in a dataset to improve the protection of statistical confidentiality. We demonstrate in this article that this technique introduces a bias in the estimates.

    Release date: 2007-03-02

  • 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

  • Articles and reports: 11-522-X20050019486
    Description:

    Currently, complementary cell suppression procedures are mostly used by statistical agencies to protect sensitive tabular data from disclosure. It is generally believed that the linear programming (LP) based complementary cell suppression procedures offer the best protection from wrongful disclosure of statistical information. This paper identifies limitations of conclusions drawn using LP-based audit procedures.

    Release date: 2007-03-02

  • Articles and reports: 12-001-X20040027755
    Description:

    Several statistical agencies use, or are considering the use of, multiple imputation to limit the risk of disclosing respondents' identities or sensitive attributes in public use data files. For example, agencies can release partially synthetic datasets, comprising the units originally surveyed with some collected values, such as sensitive values at high risk of disclosure or values of key identifiers, replaced with multiple imputations. This article presents an approach for generating multiply-imputed, partially synthetic datasets that simultaneously handles disclosure limitation and missing data. The basic idea is to fill in the missing data first to generate m completed datasets, then replace sensitive or identifying values in each completed dataset with r imputed values. This article also develops methods for obtaining valid inferences from such multiply-imputed datasets. New rules for combining the multiple point and variance estimates are needed because the double duty of multiple imputation introduces two sources of variability into point estimates, which existing methods for obtaining inferences from multiply-imputed datasets do not measure accurately. A reference t-distribution appropriate for inferences when m and r are moderate is derived using moment matching and Taylor series approximations.

    Release date: 2005-02-03
Data (1)

Data (1) ((1 result))

  • Public use microdata: 56M0003X
    Description:

    The Canadian Internet Use Survey (CIUS) measures the extent and scope to which individual Canadians use the Internet. Survey content includes the location of use (e.g., at home, at work), the frequency and intensity of use, the specific uses of the Internet from the home, the purchase of products and services (electronic commerce), and other issues related to Internet use (such as concerns over privacy). This content is supplemented by information on individual and household characteristics (e.g., age, income, education, family type) and some geographic detail (e.g. province, urban/rural, and Census Metropolitan Area).

    Release date: 2012-11-23
Analysis (9)

Analysis (9) ((9 results))

  • Stats in brief: 11-629-X2020001
    Description:

    As technology continues to evolve, it is more important now than ever to promote and strengthen security for individuals, governments and businesses to mitigate and prevent complex security threats. As a result of our new digital reality, the nature of crime, and the ways in which law enforcement and emergency response agencies work, are also evolving.

    While technology has the power to enable or facilitate crime, it can also be used as an effective tool to prevent, detect and respond to crime and other emergencies, and contribute to evidence-based decision-making in public safety.

    This panel discussion addresses the changing landscape of community safety, and discuss the role data continues to play in countering cybercrime in our new digital era.

    Release date: 2020-02-14

  • Stats in brief: 11-627-M2018026
    Description:

    This infographic presents results from the 2017 Canadian Survey of Cyber Security and Cybercrime. It illustrates the preventative measures Canadian businesses use to protect against cybercrime, their reasons for implementing these measures, and the associated costs. As well, it illustrates the impact of cybercrime on Canadian businesses, such as the types of cyber security incidents they experienced and the costs of recovering from those incidents.

    Release date: 2018-10-15

  • 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

  • Articles and reports: 11-522-X20050019435
    Description:

    Data swapping introduces noise in a dataset to improve the protection of statistical confidentiality. We demonstrate in this article that this technique introduces a bias in the estimates.

    Release date: 2007-03-02

  • 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

  • Articles and reports: 11-522-X20050019486
    Description:

    Currently, complementary cell suppression procedures are mostly used by statistical agencies to protect sensitive tabular data from disclosure. It is generally believed that the linear programming (LP) based complementary cell suppression procedures offer the best protection from wrongful disclosure of statistical information. This paper identifies limitations of conclusions drawn using LP-based audit procedures.

    Release date: 2007-03-02

  • Articles and reports: 12-001-X20040027755
    Description:

    Several statistical agencies use, or are considering the use of, multiple imputation to limit the risk of disclosing respondents' identities or sensitive attributes in public use data files. For example, agencies can release partially synthetic datasets, comprising the units originally surveyed with some collected values, such as sensitive values at high risk of disclosure or values of key identifiers, replaced with multiple imputations. This article presents an approach for generating multiply-imputed, partially synthetic datasets that simultaneously handles disclosure limitation and missing data. The basic idea is to fill in the missing data first to generate m completed datasets, then replace sensitive or identifying values in each completed dataset with r imputed values. This article also develops methods for obtaining valid inferences from such multiply-imputed datasets. New rules for combining the multiple point and variance estimates are needed because the double duty of multiple imputation introduces two sources of variability into point estimates, which existing methods for obtaining inferences from multiply-imputed datasets do not measure accurately. A reference t-distribution appropriate for inferences when m and r are moderate is derived using moment matching and Taylor series approximations.

    Release date: 2005-02-03

  • Articles and reports: 12-001-X20030026784
    Description:

    Skinner and Elliot (2002) proposed a simple measure of disclosure risk for survey microdata and showed how to estimate this measure under sampling with equal probabilities. In this paper we show how their results on point estimation and variance estimation may be extended to handle unequal probability sampling. Our approach assumes a Poisson sampling design. Comments are made about the possible impact of departures from this assumption.

    Release date: 2004-01-27

  • Articles and reports: 12-001-X20030026785
    Description:

    To avoid disclosures, one approach is to release partially synthetic, public use microdata sets. These comprise the units originally surveyed, but some collected values, for example sensitive values at high risk of disclosure or values of key identifiers, are replaced with multiple imputations. Although partially synthetic approaches are currently used to protect public use data, valid methods of inference have not been developed for them. This article presents such methods. They are based on the concepts of multiple imputation for missing data but use different rules for combining point and variance estimates. The combining rules also differ from those for fully synthetic data sets developed by Raghunathan, Reiter and Rubin (2003). The validity of these new rules is illustrated in simulation studies.

    Release date: 2004-01-27
Reference (2)

Reference (2) ((2 results))

  • Surveys and statistical programs – Documentation: 12-539-X
    Description:

    This document brings together guidelines and checklists on many issues that need to be considered in the pursuit of quality objectives in the execution of statistical activities. Its focus is on how to assure quality through effective and appropriate design or redesign of a statistical project or program from inception through to data evaluation, dissemination and documentation. These guidelines draw on the collective knowledge and experience of many Statistics Canada employees. It is expected that Quality Guidelines will be useful to staff engaged in the planning and design of surveys and other statistical projects, as well as to those who evaluate and analyze the outputs of these projects.

    Release date: 2019-12-04

  • Surveys and statistical programs – Documentation: 12-606-X
    Description:

    This is a toolkit intended to aid data producers and data users external to Statistics Canada.

    Release date: 2017-09-27
Date modified: