Data for the public good: Challenges and barriers in the context of cities

  • Goerge R
  • 17

    Readers

    Mendeley users who have this article in their library.
  • 1

    Citations

    Citations of this article.

Abstract

Comprehensive, high-quality, multidimensional data has the potential to improve the services cities provide, as it does with the best private service-providing businesses. City officials, politicians, and stakeholders require data to (1) inform decisions that demonstrate service effectiveness, (2) determine which services should be targeted in a geographic area, and (3) utilize limited resources to best serve residents and businesses. Administrative data is now ubiquitous in government agencies concerned with health, education, social services, criminal justice, and employment. Local government has primarily used this data to count cases and support budget making within the programs for which the data is collected. Yet data linked across programs, where individuals and families can be tracked with multiple data sources either cross-sectionally or longitudinally, is rare. Both data scientists and the public sector currently have an excellent opportunity to use the big data of government to improve the quality and quantity of analyses to improve service delivery. This chapter describes an effort in one place to use the administrative data collected in the public sector to have an impact by informing city leadership. © Cambridge University Press 2014.

Get free article suggestions today

Mendeley saves you time finding and organizing research

Sign up here
Already have an account ?Sign in

Find this document

Cite this document

Choose a citation style from the tabs below

Save time finding and organizing research with Mendeley

Sign up for free