G2TT
来源类型Brief
规范类型简报
Improving Public Decisionmaking: Local Governments and Data Intermediaries
Kathryn L.S. Pettit; G. Thomas Kingsley
发表日期2018-03-09
出版年2018
语种英语
概述Local governments should engage with data intermediary organizations, such as the members of the National Neighborhood Indicators Partnership, to more effectively identify priority issues, find new allies, and devise data-driven policies and programs. In addition to their topical, analytic, and community engagement expertise, these organizations bring an understanding of local context, a reputation for impartial
摘要

Local governments should engage with data intermediary organizations, such as the members of the National Neighborhood Indicators Partnership, to more effectively identify priority issues, find new allies, and devise data-driven policies and programs. In addition to their topical, analytic, and community engagement expertise, these organizations bring an understanding of local context, a reputation for impartial analysis, and a set of relationships that spans sectors. Their services build local capacity, including within governments, to use data for better decisionmaking. All local governments should join with area data intermediaries to raise the whole community’s ability to regularly share and use data to improve decisionmaking, both inside and outside of government.

In addition to this overview brief, three case studies for Baltimore, Columbus, and Oakland demonstrate the range of ways that data intermediaries and their services benefit city and county governments. To read the full series, visit https://www.neighborhoodindicators.org/localgovt.

主题Neighborhoods, Cities, and Metros ; Nonprofits and Philanthropy
URLhttps://www.urban.org/research/publication/improving-public-decisionmaking-local-governments-and-data-intermediaries
来源智库Urban Institute (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/480122
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Kathryn L.S. Pettit,G. Thomas Kingsley. Improving Public Decisionmaking: Local Governments and Data Intermediaries. 2018.
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