At the Universities of Laval and Waterloo, we are interested in what is often seen as the “virtuous cycle” of citizens’ increasing use of open government data and, potentially, for governments to actively leverage information that the public creates. Our work centers on issues of accuracy, authenticity and privacy in citizen-generated spatial data and the changing relationships between governments and citizens in data provision and use. In Year 1, we are concentrating on assembling baseline information that will help us understand how citizens use open data from governments and the extent that Canadian governments’ currently leverage citizen-contributed data. In this first phase, we will assemble a literature review and survey government partners at local, provincial and national levels to:
- Identify and characterize the main current open data initiatives (e.g., who is providing what data, in which forms?) and what data standards are used at local and provincial levels (if any?),
- Identify existing as well as potential practices for: a) using crowdsourced data (including barriers and opportunities) and, b) for validating crowdsourced data,
- Explore the linkages between open data (as a product and as practice) and crowdsourcing at the municipal and provincial levels (e.g. open data not only a service provided by the organization but also a way to improve data and by feedback loops in practice).
Two PhD students (Ashley Zhang – Waterloo, Teriitutea Quesnot – Laval) have been hired to jointly complete the literature review, survey administration and analysis and also participate in reporting the results through a journal paper. Teriitutea Quesnot is from French Polynesia. Teriitutea received his bachelor and masters in France and he has strong geocomputing and programming skills as well as consulting experience. Ashley is from China and has completed her Masters at the University of Georgia with a thesis focus on exploring spatio-temporal changes in the sociao-spatial structure of Beijing. Currently, her PhD research is centred on public engagement and place-making in smart cities. Since our government partners operate in both English and French, the survey will be bilingual to allow a pan-Canadian assessment to be developed. This information relating to current opportunities and barriers will help us develop new methods for promoting and visualizing data authenticity and accuracy. We anticipate that it also will contribute to project-wide efforts to develop best practices for Canadian governments to manage citizen-generated in light of data privacy and quality concerns.
We know that many of our partners and others have considerable experience in utilizing crowdsourced data. Even if you don’t then you probably have questions you’d like explored.