Visual analytics for open government data

Francisco Artigas, Soon Ae Chun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations


The Open Government Data initiative accelerated publishing and sharing of diverse government data with enterprises, software developers and citizens. The key challenge with this unprecedented amount of government data is to make sense of them in a timely manner i.e. find the meaning of the data to assist in decision making. The analytical tools and apps to filter, sort, aggregate for summary along different spatio-temporal dimensions will help find trends and outliers. The capabilities to combine diverse data from different sources may also help users to understand the information and knowledge embedded in data sets. One of most powerful data exploration and analytics is data visualization. In this tutorial, we present two different tools for visual exploration and analytics for citizens and researchers, making use of diverse data sets from different sources, such as government, social media and enterprise or personal collections. Specifically, we focus on Geographic Information Systems (GIS) for mapping data using ArcGIS Explorer, a cloud based data integration and visualization tool and Google Fusion Tables for tabular data. The tutorial is geared toward social science researchers, students and citizens in general.

Original languageEnglish (US)
Title of host publicationdg.o 2013 - Proceedings of the 14th Annual International Digital Government Research Conference
Subtitle of host publicationFrom E-Government to Smart Government
Number of pages2
StatePublished - 2013
Externally publishedYes
Event14th Annual International Digital Government Research Conference: From E-Government to Smart Government, dg.o 2013 - Quebec City, QC, Canada
Duration: Jun 17 2013Jun 20 2013

Publication series

NameACM International Conference Proceeding Series


Other14th Annual International Digital Government Research Conference: From E-Government to Smart Government, dg.o 2013
CityQuebec City, QC

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


  • GIS Geographic Information Systems
  • Google Fusion Tables
  • Google chart tools
  • Tutorial
  • Visual analytics
  • Visualization


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