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2000115-Strengthening-Communities-with-Neighborhood-Data

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428 Index<br />

data (continued)<br />

oversight of government operations<br />

and, 49<br />

quality and accessibility of, changes<br />

in, 73<br />

school attendance, mining for causes of<br />

chronic absence, 266–267<br />

spatial, 376–377<br />

strengthening communities and role<br />

of: review, 152–163, 166–177<br />

data analysis, efficient government and, 41<br />

data analysts, 49<br />

data assembly, by local data intermediaries,<br />

29, 30<br />

database tools, 124<br />

data capacity, expanding in local<br />

communities, payoff <strong>with</strong>, 409<br />

data centers, reconfiguration of, 49<br />

<strong>Data</strong> Collaborative (Detroit), 92<br />

data collection and aggregation, specifying<br />

units for, 288<br />

data-driven action coalitions, 224–227<br />

data-driven decisionmaking<br />

educating future policymakers, 401,<br />

404–405<br />

explicit support for, 406<br />

<strong>Data</strong> Driven Detroit, 92<br />

data-driven performance programs, 50–52<br />

<strong>Data</strong>Finder (Twin Cities), 60<br />

data for neighborhood indicators, 74–101<br />

data standards, 100–101<br />

federal government data, 74, 82–85<br />

household surveys, 95–96<br />

neighborhood scores and metrics, 96–98<br />

new types of, 98–99<br />

observational surveys, 94–95<br />

open-government data, 98<br />

primary data sources, 93–96<br />

proprietary data, 91–93<br />

secondary data sources, 74–93<br />

state and local government data, 85–86,<br />

89–91<br />

data.gov, 98, 104<br />

<strong>Data</strong>Kind, 108, 391<br />

data layers, brownfields properties and, 44<br />

data literacy, promoting, 132<br />

data mining, 311<br />

<strong>Data</strong>Place website, 103<br />

data portals<br />

commercial portals, 105–106<br />

delivery, visualization, and analysis<br />

<strong>with</strong>, 102–107<br />

government portals, 105–106<br />

nonprofit portals, 102–105<br />

data processing tools, simplifying,<br />

130–131<br />

data quality, increasing, 129<br />

<strong>Data</strong> Quality Campaign, 21, 88<br />

data scientists, 49<br />

data sharing<br />

local government agencies, 16<br />

privacy and security concerns, 53<br />

data sharing in the Twin Cities<br />

(Minnesota), 57–70<br />

intermediaries, 61–68<br />

local emergence, 60–61<br />

overview, 57–58<br />

remaining barriers, 69–70<br />

state initiatives, 58–60<br />

trends in applications, 68–69<br />

data sparseness, addressing, 287, 291–292<br />

data standards<br />

geographic information systems and, 43<br />

neighborhood indicators and, 98–99<br />

data transformation<br />

expanding, 401, 404<br />

by local data intermediaries, 29, 30–31<br />

Davis, Sandra, 45<br />

DBF documents, 121<br />

Decennial Censuses, 20, 74, 75, 80, 82, 83,<br />

90, 96, 104<br />

decisionmaking<br />

data-driven, 146<br />

indicators and, 135–147<br />

delinquency, distressed, disinvested<br />

neighborhoods and, 6<br />

Dell Children’s Medical Center of Central<br />

Texas, 231<br />

democracy<br />

citizen participation between elections<br />

in, 18<br />

as problem solving, 19

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