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Reflecting on the Success of Open Data: How Municipal Government Evaluates their Open Data Programs

Reflecting on the Success of Open Data: How Municipal Government Evaluates their Open Data Programs

Peter A. Johnson
Copyright: © 2016 |Volume: 5 |Issue: 3 |Pages: 12
ISSN: 2160-9918|EISSN: 2160-9926|EISBN13: 9781466693463|DOI: 10.4018/IJEPR.2016070101
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MLA

Johnson, Peter A. "Reflecting on the Success of Open Data: How Municipal Government Evaluates their Open Data Programs." IJEPR vol.5, no.3 2016: pp.1-12. http://doi.org/10.4018/IJEPR.2016070101

APA

Johnson, P. A. (2016). Reflecting on the Success of Open Data: How Municipal Government Evaluates their Open Data Programs. International Journal of E-Planning Research (IJEPR), 5(3), 1-12. http://doi.org/10.4018/IJEPR.2016070101

Chicago

Johnson, Peter A. "Reflecting on the Success of Open Data: How Municipal Government Evaluates their Open Data Programs," International Journal of E-Planning Research (IJEPR) 5, no.3: 1-12. http://doi.org/10.4018/IJEPR.2016070101

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Abstract

Despite the high level of interest in open data, little research has evaluated how municipal government evaluates the success of their open data programs. This research presents results from interviews with eight Canadian municipal governments that point to two approaches to evaluation: internal and external. Internal evaluation looks for use within the data generating government, and for support from management and council. External evaluation tracks use by external entities, including citizens, private sector, or other government agencies. Three findings of this work provide guidance for the development of open data evaluation metrics. First, approaches to tracking can be both passive, via web metrics, and active, via outreach activities to users. Second, value of open data must be broadly defined, and extend beyond economic valuations. Lastly, internal support from management or council and the contributions of many organization employees towards the production of open data are important forms of self-evaluation of open data programs.

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