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2000115-Strengthening-Communities-with-Neighborhood-Data

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128 <strong>Strengthening</strong> <strong>Communities</strong> <strong>with</strong> <strong>Neighborhood</strong> <strong>Data</strong><br />

data to other resources. The best example of this is geocoding: Much<br />

government data are logically tied to a place (e.g., bridge, property, fire<br />

hydrant), and that location is all important for analysis. Does Wisconsin<br />

have more deteriorating bridges than Illinois? A geocode stamped on<br />

each bridge record would make it easy to answer that question. Nongeographic<br />

linking elements might include the license or serial number<br />

for physical assets like vehicles and computers. (Social security numbers<br />

are the ultimate linking elements, a fact that emphatically demonstrates<br />

the limits of open data from government sources—linking disparate<br />

data sources is good, except when it’s bad. When privacy is at stake, linking<br />

informational elements is very, very bad.)<br />

Invest in Technology<br />

Simplify <strong>Data</strong> Processing Tools<br />

Huge progress has already been made in simplifying data-processing<br />

tools, but still the conversion of raw data to finished data product is<br />

beyond the capacity of almost everyone. Google Maps not<strong>with</strong>standing,<br />

most data visualization software is still too complex to be useful. The<br />

good news is that many large and small software firms have a strong<br />

incentive to continue simplifying their tools. Capturing market share is<br />

not the only motivator here—open source communities and hobbyists<br />

are as eager as the bigger players to innovate in this process.<br />

Make Simple <strong>Data</strong> Collection Tools Available<br />

Disseminating simple tools for informal data collection would help intermediaries<br />

to build data resources that are otherwise not available. Examples<br />

would be surveys of local residents, curbside surveys of physical conditions<br />

in the community, inventories of local employers, and green-space mapping.<br />

Although some tools are already available for this kind of data collection,<br />

they are not well-known or understood. Because such tools are most<br />

effective when customized for local conditions, the need for them is less<br />

likely to be satisfied by generic one-size-fits-all software solutions.<br />

Share Code Broadly and Simply<br />

Code sharing has in the past decade become widespread, especially since<br />

the emergence of GitHub as a near-universal code repository. This trend<br />

should not be underestimated as a force in nurturing innovation among

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