Centering Equity Across the Administrative Data Life Cycle

Data integration by local and state governments is undertaken for the public good to support the interconnected needs of families and communities. And though data infrastructure is a powerful tool to support equity-oriented reforms, equity is rarely centered as a core goal for data integration. This...

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Main Author: Amy Hawn Nelson
Format: Article
Language:English
Published: Swansea University 2020-12-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/1522
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author Amy Hawn Nelson
author_facet Amy Hawn Nelson
author_sort Amy Hawn Nelson
collection DOAJ
description Data integration by local and state governments is undertaken for the public good to support the interconnected needs of families and communities. And though data infrastructure is a powerful tool to support equity-oriented reforms, equity is rarely centered as a core goal for data integration. This raises fundamental concerns, as integrated data increasingly provide the raw materials for evaluation, research, and risk modeling. This session presents findings from a toolkit collaboratively generated by a workgroup convened by Actionable Intelligence for Social Policy at the University of Pennsylvania. Introduction While data sharing occurs within a legal framework, an emphasis on equity is often peripheral. Generally, institutions have not adequately examined and acknowledged structural bias in their history, or the ways in which data reflects systemic inequities in the development and administration of policies and programs. Meanwhile, the public are rarely consulted in the development and use of data systems. Objectives and Approach This toolkit was collaboratively generated by a workgroup of civic data stakeholders from across the US. Results The toolkit aims to support agencies seeking to acknowledge and compensate for the harms and bias baked into data and practice. It is organized across six stages of the administrative data life cycle—planning, data collection, data access, use of algorithms and statistical tools, analysis, and reporting and dissemination. For each stage, the toolkit includes promising and problematic practices for centering equity in administrative data reuse, with site-based examples of work in action from across the US. Conclusion / Implications The workgroup concluded that centering equity within data integration efforts is not a binary outcome, but rather a series of small steps towards more equitable practice. There are countless ways to center equity across the administrative data reuse life cycle, and this report provides concrete strategies for agencies, organizations and collaboratives to begin and grow that work in practice.
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spelling doaj.art-04ce40a865ad4130a4b502324654cd832023-12-02T02:54:24ZengSwansea UniversityInternational Journal of Population Data Science2399-49082020-12-015510.23889/ijpds.v5i5.1522Centering Equity Across the Administrative Data Life CycleAmy Hawn Nelson0Actionable Intelligence for Social Policy, University of PennsylvaniaData integration by local and state governments is undertaken for the public good to support the interconnected needs of families and communities. And though data infrastructure is a powerful tool to support equity-oriented reforms, equity is rarely centered as a core goal for data integration. This raises fundamental concerns, as integrated data increasingly provide the raw materials for evaluation, research, and risk modeling. This session presents findings from a toolkit collaboratively generated by a workgroup convened by Actionable Intelligence for Social Policy at the University of Pennsylvania. Introduction While data sharing occurs within a legal framework, an emphasis on equity is often peripheral. Generally, institutions have not adequately examined and acknowledged structural bias in their history, or the ways in which data reflects systemic inequities in the development and administration of policies and programs. Meanwhile, the public are rarely consulted in the development and use of data systems. Objectives and Approach This toolkit was collaboratively generated by a workgroup of civic data stakeholders from across the US. Results The toolkit aims to support agencies seeking to acknowledge and compensate for the harms and bias baked into data and practice. It is organized across six stages of the administrative data life cycle—planning, data collection, data access, use of algorithms and statistical tools, analysis, and reporting and dissemination. For each stage, the toolkit includes promising and problematic practices for centering equity in administrative data reuse, with site-based examples of work in action from across the US. Conclusion / Implications The workgroup concluded that centering equity within data integration efforts is not a binary outcome, but rather a series of small steps towards more equitable practice. There are countless ways to center equity across the administrative data reuse life cycle, and this report provides concrete strategies for agencies, organizations and collaboratives to begin and grow that work in practice.https://ijpds.org/article/view/1522
spellingShingle Amy Hawn Nelson
Centering Equity Across the Administrative Data Life Cycle
International Journal of Population Data Science
title Centering Equity Across the Administrative Data Life Cycle
title_full Centering Equity Across the Administrative Data Life Cycle
title_fullStr Centering Equity Across the Administrative Data Life Cycle
title_full_unstemmed Centering Equity Across the Administrative Data Life Cycle
title_short Centering Equity Across the Administrative Data Life Cycle
title_sort centering equity across the administrative data life cycle
url https://ijpds.org/article/view/1522
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