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2000115-Strengthening-Communities-with-Neighborhood-Data

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Institutional Context 53<br />

efficiencies and return on investment in local government. Efforts that<br />

use local government data should be viewed as an opportunity to create a<br />

unique “brain trust” for resolving problems and improving service delivery,<br />

not just as a means for ferreting out poor performers. When Minneapolis<br />

311 mapped how service requests for exterior nuisance complaints<br />

broke down by districts <strong>with</strong>in the city, they discovered that one of the<br />

four supervisor districts generated nearly 33 percent of all exterior<br />

nuisance service requests, while another district generated only about<br />

16 percent. Yet both district offices had the same number of support personnel.<br />

Given that the demand was so much higher in one district than<br />

the other, the city opted to reexamine the allocation of resources <strong>with</strong>in<br />

the city’s regulatory services department (Fleming 2008).<br />

Future Developments<br />

The proliferation of smartphones, tablets, and other mobile devices has<br />

made it possible for citizens to become partners <strong>with</strong> their local government<br />

in identifying problems and opportunities <strong>with</strong>in the jurisdiction.<br />

Mobile applications allow citizens to take a picture, capture GPS coordinates,<br />

and submit a service request in a matter of minutes. During the<br />

cleanup of the Gulf oil spill in 2010, environmental groups used mobile<br />

applications extensively to track where wind and water currents were<br />

transporting oil residue along the coastline and identify where cleanup<br />

efforts needed to be organized. Known as crowdsourcing, this type of<br />

large-group data collection effort can play a vital role in identifying<br />

where resources need to be allocated.<br />

However, the effectiveness of crowdsourcing efforts depends largely<br />

on the ability to format different datasets so they can be easily integrated<br />

and used in conjunction <strong>with</strong> other datasets. The emergence of<br />

big data has led to a related movement toward open data and the push<br />

for governments to make their data available in a format anyone can<br />

use. The need for easy access to local government data for these applications<br />

seems apparent. Manyika and colleagues (2011) note, however,<br />

that there is reluctance by many in the public sector to facilitate such<br />

access: “The mind-set of employees can be as great a barrier to realizing<br />

value from big data as technological inadequacy.” Privacy and security<br />

concerns have led to the establishment of policy or legal restrictions that<br />

prevent data sharing.

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