Understanding the Information Architecture for Civic Innovation, Research, and Evaluation

Efforts to collect, manage, transform, and integrate data across administrative systems into actionable knowledge to inform better policy decisions are becoming more common. However, the technical processes, procedures, and infrastructure they employ vary substantially. Variety in approaching data...

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Main Authors: Natalie Evans Harris, Amy Hawn Nelson
Format: Article
Language:English
Published: Swansea University 2018-10-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/1042
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spelling doaj-785f81e875e245ff81fe24a313581e272020-11-25T02:08:50ZengSwansea UniversityInternational Journal of Population Data Science2399-49082018-10-013510.23889/ijpds.v3i5.1042Understanding the Information Architecture for Civic Innovation, Research, and EvaluationNatalie Evans Harris0Amy Hawn Nelson1BrightHiveActionable Intelligence for Social Policy, University of Pennsylvania Efforts to collect, manage, transform, and integrate data across administrative systems into actionable knowledge to inform better policy decisions are becoming more common. However, the technical processes, procedures, and infrastructure they employ vary substantially. Variety in approaching data infrastructure, transfer, linking, and security is expected in this emerging field, but both established and developing efforts would benefit from cohesive guidance regarding the technical considerations of data integration, with focus on presenting a range of options that can be weighted based on context specific restrictions (e.g. cost, staffing, or existing infrastructure). Actionable Intelligence for Social Policy (AISP), MetroLab Network, and the National Neighborhood Indicators Partnership (NNIP) with support from the Annie E. Casey Foundation, are convening a working group to shape and develop guidance on information architecture and technical approaches for data integration efforts such as those in the AISP and NNIP networks and the AISP Learning Community. This guidance will help newly emerging efforts as well as established ones looking to update their current approach. It will also inform policymakers and researchers who need a primer to better understand the technical components and considerations at play for data sharing and integration. This presentation will present findings, best practices and recommendations from this brief that will be released in Fall 2018. https://ijpds.org/article/view/1042
collection DOAJ
language English
format Article
sources DOAJ
author Natalie Evans Harris
Amy Hawn Nelson
spellingShingle Natalie Evans Harris
Amy Hawn Nelson
Understanding the Information Architecture for Civic Innovation, Research, and Evaluation
International Journal of Population Data Science
author_facet Natalie Evans Harris
Amy Hawn Nelson
author_sort Natalie Evans Harris
title Understanding the Information Architecture for Civic Innovation, Research, and Evaluation
title_short Understanding the Information Architecture for Civic Innovation, Research, and Evaluation
title_full Understanding the Information Architecture for Civic Innovation, Research, and Evaluation
title_fullStr Understanding the Information Architecture for Civic Innovation, Research, and Evaluation
title_full_unstemmed Understanding the Information Architecture for Civic Innovation, Research, and Evaluation
title_sort understanding the information architecture for civic innovation, research, and evaluation
publisher Swansea University
series International Journal of Population Data Science
issn 2399-4908
publishDate 2018-10-01
description Efforts to collect, manage, transform, and integrate data across administrative systems into actionable knowledge to inform better policy decisions are becoming more common. However, the technical processes, procedures, and infrastructure they employ vary substantially. Variety in approaching data infrastructure, transfer, linking, and security is expected in this emerging field, but both established and developing efforts would benefit from cohesive guidance regarding the technical considerations of data integration, with focus on presenting a range of options that can be weighted based on context specific restrictions (e.g. cost, staffing, or existing infrastructure). Actionable Intelligence for Social Policy (AISP), MetroLab Network, and the National Neighborhood Indicators Partnership (NNIP) with support from the Annie E. Casey Foundation, are convening a working group to shape and develop guidance on information architecture and technical approaches for data integration efforts such as those in the AISP and NNIP networks and the AISP Learning Community. This guidance will help newly emerging efforts as well as established ones looking to update their current approach. It will also inform policymakers and researchers who need a primer to better understand the technical components and considerations at play for data sharing and integration. This presentation will present findings, best practices and recommendations from this brief that will be released in Fall 2018.
url https://ijpds.org/article/view/1042
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