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Transparent Data Research Series

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September 13, 2019: Developing Data Management Plans

Very soon, all federally funded research, both quantitative and qualitative, will require data management plans.  Are you ready?


Keynote address:  9:00 – 10:00 am, LRW 1003, free

Maggie Neilson and James Doiron, co-Chairs of the Data Management Expert Group at Portage, will address federal data management legislation and best practices for developing and updating data management plans. 


Workshop:  10:00 am – 4:00 pm, LRW 1003, $10 

  • Maggie and James will walk you step by step through developing a Data Management Plan.  Bring your thinking about a current project or work through a hypothetical. By the end of the workshop, you’ll have a complete draft of a plan.  
  • Local experts will join us to work through real challenges you’re having in developing or implementing your plans.  
  • Tours will be available of several social science laboratories and research resources.
  • Workshop participants are invited to a follow-up conversation on September 27th to support your progress and an archive of all materials covered in the workshop.  

Notes for the workshop:

  • Please bring laptops.  If you need to borrow one, please contact Allison Van at
  • We will break for lunch.  You are free to go out or stay in.  


Upcoming Events

October 4, 2019: Data science methods for social scientists using Python


  • Mickael Temporão, Head of Data Science, Delphia (Toronto)
  • Webcast: Getting started with Python for social scientists. This webcast will provide an overview of the advantages of using Python for social science data analysis, including large and social media datasets.
  • Workshop: This hands-on workshop will introduce participants into the core tools of Python that are relevant for social science data analyses, with a focus on web-based data sources, large data sets, and ensuring data analysis is accurate and reproducible.

November 8, 2019: Reproducible data analysis in R

  • Jeffrey S. Racine, Professor, Economics, McMaster University
  • Webcast: Benefits of R & R Markdown for Reproducible Research. This presentation will provide an overview of Racine (2019), which outlines a set of practices that researchers can use to ensure their data analyses in R conform to best practices for reproducible research.
  • Workshop: Reproducible Econometrics Using R. In this hand-on workshop, Dr. Racine will demonstrate how to create a reproducible workflow for data analysis using R and R Markdown, including examples of commonly used commands for data analysis in the social sciences. Participants will leave the workshop with a draft R Markdown document ready to begin their next research project in R.

December 6, 2019: Reproducible data analysis in STATA

  • Scott Long, Professor, Sociology, Indiana University
  • Webcast: Stata Workflows & Reproducible Research. This presentation will provide an overview of Long (2008), which provides a detailed set of recommendations about how to develop a Stata workflow that ensures analyses are efficient, accurate, and reproducible.
  • Workshop: The Workflow of Data Analysis Using Stata. This workshop will provide participants with the opportunity to assemble a reproducible workflow for their next data analysis project in Stata based on the principles outlined in Dr. Long’s book. By the end of the workshop, participants will have core command files and workflow plan to improve the efficiency and reproducibility of their next Stata project.

January 10, 2020: Indigenous Data Sovereignty

  • Chris Andersen, Professor & Dean, Native Studies, University of Alberta; Aaron Franks, Senior Manager, OCAP® & Information Governance, FNIGC; Tahu Kukutai, Professor, Sociology, University of Waikato; and Maggie Walter, Professor, Sociology University of Tasmania.
  • Webcast: The keynote address by Dr. Kukutai will discuss comparative perspectives on Indigenous research data sovereignty based on her expertise, including reflections on Kukutai and Taylor (2016).
  • Webcast panels: Indigenous Data Sovereignty in Canada: Issues & Agenda. Keynote speaker and panelists are all leading voices in developing and advocating for best practices around Indigenous data and Indigenous data sovereignty both in Canada and internationally (e.g., Walter and Andersen 2013; First Nations Information Governance Centre 2014). Panelists will bring their international and disciplinary perspectives to a discussion of key considerations for organizations and researchers around the collection, use, storage, and sharing of Indigenous research data.