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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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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. |
format | Online Article Text |
id | pubmed-10651897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
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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