Record Linkage Project Process Model
ABSTRACT Objectives In April 2015, a Working Group on Record Linkage was created at Statistics Canada with the objective of achieving a common understanding of the concepts and processes involved in record linkage projects at Statistics Canada. Approach A generic record linkage process model was map...
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Swansea University
2017
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ftdoajarticles:oai:doaj.org/article:77c80f0f2cf24502b4a4f986be4b6842 2023-05-15T17:12:20+02:00 Record Linkage Project Process Model Richard Trudeau 2017-04-01T00:00:00Z https://doi.org/10.23889/ijpds.v1i1.77 https://doaj.org/article/77c80f0f2cf24502b4a4f986be4b6842 EN eng Swansea University https://ijpds.org/article/view/77 https://doaj.org/toc/2399-4908 2399-4908 doi:10.23889/ijpds.v1i1.77 https://doaj.org/article/77c80f0f2cf24502b4a4f986be4b6842 International Journal of Population Data Science, Vol 1, Iss 1 (2017) Demography. Population. Vital events HB848-3697 article 2017 ftdoajarticles https://doi.org/10.23889/ijpds.v1i1.77 2022-12-31T01:07:06Z ABSTRACT Objectives In April 2015, a Working Group on Record Linkage was created at Statistics Canada with the objective of achieving a common understanding of the concepts and processes involved in record linkage projects at Statistics Canada. Approach A generic record linkage process model was mapped to reflect the general practices and activities involved in record linkage at Statistics Canada. The model was developed with a view for more general use by other statistical agencies involved in record linkage. It was built on the Generic Statistical Business Process Model v5.0 developed by the Joint UNECE/Eurostat/OECD Work Session on Statistical Metadata (METIS) for survey purposes. It also builds on international models of record linkage from Australia and the United States as well as record linkage methodology used at Statistics Canada. In addition, it was informed by the relevant legal and policy frameworks that govern all of Statistics Canada statistical activities. Over one hundred people involved in all aspects of record linkage at Statistics Canada were consulted during this process. Results An activity-oriented Record Linkage Project Process Model was drafted and proposed as a standard for the agency. It breaks down the record linkage process into three meta-phases: project planning, record linkage, post-linkage activities. Each meta-phase is further divided into phases and sub-phases that describe the activities of the record linkage project from specification of needs to project close-out and evaluation. An additional feature of the model is a description of the outcome of each phase that can be used as a milestone marker or as a gateway to the next phase. Conclusion As a descriptive model, the Record Linkage Project Process Model will inform management on the range of activities related to a record linkage project that go well beyond the function of matching records between two data files. It can also be used as a prescriptive model that will provide guidance to individuals engaging in a record ... Article in Journal/Newspaper Metis Directory of Open Access Journals: DOAJ Articles Canada International Journal of Population Data Science 1 1 |
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Directory of Open Access Journals: DOAJ Articles |
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English |
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Demography. Population. Vital events HB848-3697 |
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Demography. Population. Vital events HB848-3697 Richard Trudeau Record Linkage Project Process Model |
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Demography. Population. Vital events HB848-3697 |
description |
ABSTRACT Objectives In April 2015, a Working Group on Record Linkage was created at Statistics Canada with the objective of achieving a common understanding of the concepts and processes involved in record linkage projects at Statistics Canada. Approach A generic record linkage process model was mapped to reflect the general practices and activities involved in record linkage at Statistics Canada. The model was developed with a view for more general use by other statistical agencies involved in record linkage. It was built on the Generic Statistical Business Process Model v5.0 developed by the Joint UNECE/Eurostat/OECD Work Session on Statistical Metadata (METIS) for survey purposes. It also builds on international models of record linkage from Australia and the United States as well as record linkage methodology used at Statistics Canada. In addition, it was informed by the relevant legal and policy frameworks that govern all of Statistics Canada statistical activities. Over one hundred people involved in all aspects of record linkage at Statistics Canada were consulted during this process. Results An activity-oriented Record Linkage Project Process Model was drafted and proposed as a standard for the agency. It breaks down the record linkage process into three meta-phases: project planning, record linkage, post-linkage activities. Each meta-phase is further divided into phases and sub-phases that describe the activities of the record linkage project from specification of needs to project close-out and evaluation. An additional feature of the model is a description of the outcome of each phase that can be used as a milestone marker or as a gateway to the next phase. Conclusion As a descriptive model, the Record Linkage Project Process Model will inform management on the range of activities related to a record linkage project that go well beyond the function of matching records between two data files. It can also be used as a prescriptive model that will provide guidance to individuals engaging in a record ... |
format |
Article in Journal/Newspaper |
author |
Richard Trudeau |
author_facet |
Richard Trudeau |
author_sort |
Richard Trudeau |
title |
Record Linkage Project Process Model |
title_short |
Record Linkage Project Process Model |
title_full |
Record Linkage Project Process Model |
title_fullStr |
Record Linkage Project Process Model |
title_full_unstemmed |
Record Linkage Project Process Model |
title_sort |
record linkage project process model |
publisher |
Swansea University |
publishDate |
2017 |
url |
https://doi.org/10.23889/ijpds.v1i1.77 https://doaj.org/article/77c80f0f2cf24502b4a4f986be4b6842 |
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Canada |
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Canada |
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Metis |
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Metis |
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International Journal of Population Data Science, Vol 1, Iss 1 (2017) |
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https://ijpds.org/article/view/77 https://doaj.org/toc/2399-4908 2399-4908 doi:10.23889/ijpds.v1i1.77 https://doaj.org/article/77c80f0f2cf24502b4a4f986be4b6842 |
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https://doi.org/10.23889/ijpds.v1i1.77 |
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International Journal of Population Data Science |
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