Working Paper: 2015 Canadian Election Platforms: Long-Form Census, Open Data, Open Government, Transparency and Evidence Based Policy and Science

15 Pages Posted: 29 Oct 2015

See all articles by Tracey Lauriault

Tracey Lauriault

Carleton University - School of Journalism and Communication Studies

Kathryn O'Hara

Carleton University - School of Journalism and Communication Studies

Date Written: October 28, 2015

Abstract

The following Working Paper is a first pass examination of how open data, open government, transparency, evidence-based policy, the Long-Form Census and science as it pertains to data fared in the Canadian 2015 Election Platforms for the five political parties that have held seats: New Democratic Party (NDP), Liberal, Green, Conservative and the Bloc Qu├ębecois. This Working Paper informed an Open Access Week seminar organized by the MacOdrum Library at Carleton University in Ottawa. A more detailed and in depth analysis will follow which will include an expanded section on science which will include health.

Keywords: open data, open government, transparency, long-form census, evidence-based policy, science, 2015 Elections, Canada, Political Platforms, Communication Studies, School of Journalism, Carleton University

Suggested Citation

Lauriault, Tracey and O'Hara, Kathryn, Working Paper: 2015 Canadian Election Platforms: Long-Form Census, Open Data, Open Government, Transparency and Evidence Based Policy and Science (October 28, 2015). Available at SSRN: https://ssrn.com/abstract=2682638 or http://dx.doi.org/10.2139/ssrn.2682638

Tracey Lauriault (Contact Author)

Carleton University - School of Journalism and Communication Studies ( email )

River Building, Suite 4110
1125 Colonel By Drive
Ottawa, ON K1S 5B6
Canada
1-613-520-2600 x7443 (Phone)

HOME PAGE: http://https://carleton.ca/communication/people/tracey-lauriault/

Kathryn O'Hara

Carleton University - School of Journalism and Communication Studies ( email )

River Building, Suite 4110
1125 Colonel By Drive
Ottawa, ON K1S 5B6
Canada

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