New crowdsourcing framework and Canadian open data study

This Week

Open North has compiled the following open data studies for readers to explore: 

Crowdsourcing Framework for Elections – iHub

iHub, a Nairobi-based innovation hub, released the results of their research to develop a crowdsourcing framework for elections. This study, which includes analysis of which social media tools produce the best real-time picture of the “on-the-ground reality” in Kenyan politics, now available online, was retroactively applied to the recent elections in Kenya as a first test case.

Reasons Governments Have Given Not to Release Data – The Sunlight Foundation

The Sunlight Foundation started an experiment this week to crowdsource a list of reasons governments have given to not release data. They are inviting members of the open data and civic technology community to add reasons governments have given for not opening data to a public Google document. As we discussed in our blog post about open postal code data, another common reason is that crown corporations like Canada Post generate revenue from the sale of data.

Thesis: The Role of Canadian Municipal Open Data Initiatives – a Multi-City Evaluation

recent masters thesis by Liam Currie from the Department of Geography at Queen’s University takes an in-depth look into the diverse open data initiatives in Canadian municipalities and concludes with seven important recommendations to municipalities who are considering starting their own open data program. It also cites Open North as an example of an organization whose work benefits from the availability of open data to build democratic engagement and information tools that do not rely on government buy-in.

Get in touch with Open North today to learn more about our open data solutions.