Professor of psychology, University of Western Ontario
Dr. Campbell's talk:
What is Open Science and How Do I Do It?
There has been an ongoing discussion of the problems associated with the typical methodological practices in my fields of social and personality psychology the past few years. Part of this discussion has included a number of suggested changes to these typical practices, many falling under the banner of open science (e.g., transparency of the research process, data sharing, sharing code, as well as following pre-specified data analytic plans). In this talk I will introduce the concept of open science and discuss how to engage in these open science practices, highlighting the choices made during the research process. The focus will not be exclusively on what can be done to achieve more open science, but also on what is being done. I will also discuss another advantage of using open science practices, specifically how they can help advance theory by offering riskier tests of hypotheses.
Assistant Professor, Geography & Environmental Management, University of Waterloo
Reflecting on the Success of Open Data: How Municipal Governments Evaluate Open Data Programs
Despite widespread interest in open data, a gap exists in understanding the value and impact of these initiatives. Moreover, in the drive to simply deliver open data, governments have not yet prioritized reflection on who is actually using open data, how it is used, and what specific types of value are created. This research examines the value of open data from a supply perspective – that is, how do governments, as data providers, evaluate the performance of their open data programs, both inside and outside of their organization? A fundamental component of evaluating an open data program or service is to track how data is being used and by whom. How does government know who uses open data, whether these users are inside or external to government, how this use is tracked or measured, and more broadly, what are the criteria for open data provision success? What policies or procedures are in place to measure the use or distribution of data at the source, and what policies exist to evaluate open data programs for internal government purposes? Through a series of interviews with 8 Canadian municipalities at different stages of open data provision maturity, I present a current state of how open data provision is currently evaluated by government, both externally from end users and internally through existing evaluation procedures.
Open Data Service Lead, Web Development, Information Systems & Technology, University of Waterloo
Nathan first advocated for Open Data as an Undergraduate student. Several years later he is the point person for the service he lobbied for. Outside of campus, Nathan works with Open Data Waterloo Region (ODWR) —an organisation which spearheaded the first ever Go Open Data conference (this year held in Markham: http://2016.go-opendata.ca/ ) and has recently launched an Open Data Book Club: http://www.meetup.com/Open-Data-Book-Club-Waterloo-Region-P2P/ . Connect with him via twitter @cartoon_nate
Associate Director, Research, Canadian Index of Wellbeing and Research Assistant Professor, Faculty of Applied Health Sciences, University of Waterloo
The Canadian Index of Wellbeing: Experiences and Perspectives of a Secondary Data Provider and Third Party Data User
The Canadian Index of Wellbeing (CIW) monitors stability and change in the wellbeing of Canadians over time through two distinct research streams. The first is a social indicators approach that relies heavily on data made available through the Data Liberation Initiative. The second involves primary research in partnership with communities from across Canada, and has generated several data sets available for use by academic and community researchers. Dr. Hilbrecht will discuss the ways in which the CIW has benefitted from access to open data, as well as the licensing challenges of making CIW data available to other researchers.