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The Children’s Data Network: Harnessing the scientific potential of linked administrative data to inform children’s programs and policies

The Children’s Data Network (CDN) is a data and research collaborative focused on the linkage and analysis of administrative records. In partnership with public agencies, philanthropic funders, affiliated researchers, and community stakeholders, we seek to generate knowledge and advance evidence-ric...

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Autores principales: Foust, Regan, Hoonhout, Jonathan, Eastman Andrea, Lane, Prindle, John, Rebbe, Rebecca, Nghiem, Huy, Suthar, Himal, Cuccaro-Alamin, Stephanie, Mitchell, Michael, Dawson, William, Palmer, Lindsey, Raj, Siddharth, Ahn, Eunhye, Hammond, Ivy, McNellan, Claire, Reddy, Julia, Chen, Wan-Ting, Mayfield, Kamilah, Putnam-Hornstein, Emily, McCroskey, Jacquelyn
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Swansea University 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053132/
https://www.ncbi.nlm.nih.gov/pubmed/35514443
http://dx.doi.org/10.23889/ijpds.v6i3.1702
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author Foust, Regan
Hoonhout, Jonathan
Eastman Andrea, Lane
Prindle, John
Rebbe, Rebecca
Nghiem, Huy
Suthar, Himal
Cuccaro-Alamin, Stephanie
Mitchell, Michael
Dawson, William
Palmer, Lindsey
Raj, Siddharth
Ahn, Eunhye
Hammond, Ivy
McNellan, Claire
Reddy, Julia
Chen, Wan-Ting
Mayfield, Kamilah
Putnam-Hornstein, Emily
McCroskey, Jacquelyn
author_facet Foust, Regan
Hoonhout, Jonathan
Eastman Andrea, Lane
Prindle, John
Rebbe, Rebecca
Nghiem, Huy
Suthar, Himal
Cuccaro-Alamin, Stephanie
Mitchell, Michael
Dawson, William
Palmer, Lindsey
Raj, Siddharth
Ahn, Eunhye
Hammond, Ivy
McNellan, Claire
Reddy, Julia
Chen, Wan-Ting
Mayfield, Kamilah
Putnam-Hornstein, Emily
McCroskey, Jacquelyn
author_sort Foust, Regan
collection PubMed
description The Children’s Data Network (CDN) is a data and research collaborative focused on the linkage and analysis of administrative records. In partnership with public agencies, philanthropic funders, affiliated researchers, and community stakeholders, we seek to generate knowledge and advance evidence-rich policies that improve the health, safety, and well-being of the children of California. Given our experience negotiating access to and working with existing administrative data (and importantly, data stewards), the CDN has demonstrated its ability to perform cost-effective and rigorous record linkage, answer time-sensitive policy- and program-related questions, and build the public sector’s capacity to do the same. Owing to steadfast and generous infrastructure and project support, close collaboration with public partners, and strategic analyses and engagements, the CDN has promoted a person-level and longitudinal understanding of children and families in California and in so doing, informed policy and program development nationwide. We sincerely hope that our experience—and lessons learned—can advance and inform work in other fields and jurisdictions.
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spelling pubmed-90531322022-05-04 The Children’s Data Network: Harnessing the scientific potential of linked administrative data to inform children’s programs and policies Foust, Regan Hoonhout, Jonathan Eastman Andrea, Lane Prindle, John Rebbe, Rebecca Nghiem, Huy Suthar, Himal Cuccaro-Alamin, Stephanie Mitchell, Michael Dawson, William Palmer, Lindsey Raj, Siddharth Ahn, Eunhye Hammond, Ivy McNellan, Claire Reddy, Julia Chen, Wan-Ting Mayfield, Kamilah Putnam-Hornstein, Emily McCroskey, Jacquelyn Int J Popul Data Sci Population Data Science The Children’s Data Network (CDN) is a data and research collaborative focused on the linkage and analysis of administrative records. In partnership with public agencies, philanthropic funders, affiliated researchers, and community stakeholders, we seek to generate knowledge and advance evidence-rich policies that improve the health, safety, and well-being of the children of California. Given our experience negotiating access to and working with existing administrative data (and importantly, data stewards), the CDN has demonstrated its ability to perform cost-effective and rigorous record linkage, answer time-sensitive policy- and program-related questions, and build the public sector’s capacity to do the same. Owing to steadfast and generous infrastructure and project support, close collaboration with public partners, and strategic analyses and engagements, the CDN has promoted a person-level and longitudinal understanding of children and families in California and in so doing, informed policy and program development nationwide. We sincerely hope that our experience—and lessons learned—can advance and inform work in other fields and jurisdictions. Swansea University 2022-03-21 /pmc/articles/PMC9053132/ /pubmed/35514443 http://dx.doi.org/10.23889/ijpds.v6i3.1702 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
spellingShingle Population Data Science
Foust, Regan
Hoonhout, Jonathan
Eastman Andrea, Lane
Prindle, John
Rebbe, Rebecca
Nghiem, Huy
Suthar, Himal
Cuccaro-Alamin, Stephanie
Mitchell, Michael
Dawson, William
Palmer, Lindsey
Raj, Siddharth
Ahn, Eunhye
Hammond, Ivy
McNellan, Claire
Reddy, Julia
Chen, Wan-Ting
Mayfield, Kamilah
Putnam-Hornstein, Emily
McCroskey, Jacquelyn
The Children’s Data Network: Harnessing the scientific potential of linked administrative data to inform children’s programs and policies
title The Children’s Data Network: Harnessing the scientific potential of linked administrative data to inform children’s programs and policies
title_full The Children’s Data Network: Harnessing the scientific potential of linked administrative data to inform children’s programs and policies
title_fullStr The Children’s Data Network: Harnessing the scientific potential of linked administrative data to inform children’s programs and policies
title_full_unstemmed The Children’s Data Network: Harnessing the scientific potential of linked administrative data to inform children’s programs and policies
title_short The Children’s Data Network: Harnessing the scientific potential of linked administrative data to inform children’s programs and policies
title_sort children’s data network: harnessing the scientific potential of linked administrative data to inform children’s programs and policies
topic Population Data Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9053132/
https://www.ncbi.nlm.nih.gov/pubmed/35514443
http://dx.doi.org/10.23889/ijpds.v6i3.1702
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