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CenSoc: Public Linked Administrative Mortality Records for Individual-level Research

In the United States, much has been learned about the determinants of longevity from survey data and aggregated tabulations. However, the lack of large-scale, individual-level administrative mortality records has proven to be a barrier to further progress. We introduce the CenSoc datasets, which lin...

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Autores principales: Breen, Casey F., Osborne, Maria, Goldstein, Joshua R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651897/
https://www.ncbi.nlm.nih.gov/pubmed/37968265
http://dx.doi.org/10.1038/s41597-023-02713-y
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author Breen, Casey F.
Osborne, Maria
Goldstein, Joshua R.
author_facet Breen, Casey F.
Osborne, Maria
Goldstein, Joshua R.
author_sort Breen, Casey F.
collection PubMed
description In the United States, much has been learned about the determinants of longevity from survey data and aggregated tabulations. However, the lack of large-scale, individual-level administrative mortality records has proven to be a barrier to further progress. We introduce the CenSoc datasets, which link the complete-count 1940 U.S. Census to Social Security mortality records. These datasets—CenSoc-DMF (N = 4.7 million) and CenSoc-Numident (N = 7.0 million)—primarily cover deaths among individuals aged 65 and older. The size and richness of CenSoc allows investigators to make new discoveries into geographic, racial, and class-based disparities in old-age mortality in the United States. This article gives an overview of the technical steps taken to construct these datasets, validates them using external aggregate mortality data, and discusses best practices for working with these datasets. The CenSoc datasets are publicly available, enabling new avenues of research into the determinants of mortality disparities in the United States.
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spelling pubmed-106518972023-11-15 CenSoc: Public Linked Administrative Mortality Records for Individual-level Research Breen, Casey F. Osborne, Maria Goldstein, Joshua R. Sci Data Data Descriptor In the United States, much has been learned about the determinants of longevity from survey data and aggregated tabulations. However, the lack of large-scale, individual-level administrative mortality records has proven to be a barrier to further progress. We introduce the CenSoc datasets, which link the complete-count 1940 U.S. Census to Social Security mortality records. These datasets—CenSoc-DMF (N = 4.7 million) and CenSoc-Numident (N = 7.0 million)—primarily cover deaths among individuals aged 65 and older. The size and richness of CenSoc allows investigators to make new discoveries into geographic, racial, and class-based disparities in old-age mortality in the United States. This article gives an overview of the technical steps taken to construct these datasets, validates them using external aggregate mortality data, and discusses best practices for working with these datasets. The CenSoc datasets are publicly available, enabling new avenues of research into the determinants of mortality disparities in the United States. Nature Publishing Group UK 2023-11-15 /pmc/articles/PMC10651897/ /pubmed/37968265 http://dx.doi.org/10.1038/s41597-023-02713-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Breen, Casey F.
Osborne, Maria
Goldstein, Joshua R.
CenSoc: Public Linked Administrative Mortality Records for Individual-level Research
title CenSoc: Public Linked Administrative Mortality Records for Individual-level Research
title_full CenSoc: Public Linked Administrative Mortality Records for Individual-level Research
title_fullStr CenSoc: Public Linked Administrative Mortality Records for Individual-level Research
title_full_unstemmed CenSoc: Public Linked Administrative Mortality Records for Individual-level Research
title_short CenSoc: Public Linked Administrative Mortality Records for Individual-level Research
title_sort censoc: public linked administrative mortality records for individual-level research
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651897/
https://www.ncbi.nlm.nih.gov/pubmed/37968265
http://dx.doi.org/10.1038/s41597-023-02713-y
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