DIF Workshop - Research Data Management for Reproducible Research

Researchers across disciplines have been calling for reproducible research as an attainable minimum standard for assessing the value of scholarly claims, particularly when full independent replication of a study is not feasible. Making your research more reproducible pays off and is explicitly in the self-interest of every ambitious, career-oriented researcher.

Good research data management practices makes your research more reproducible and does the following:

• Helps Avoid Disaster
• Makes it Easier to Write Papers
• Makes it Easier to Talk to Reviewers
• Enables Continuity of Your Work
• Helps Build Your Reputation
   

This workshop is for: 

• Undergraduate Students
• Graduate Students
• Faculty
• UVic Staff

This workshop is for a general audience; no previous knowledge of research data management is required. It is applicable to those supporting, participating, or conducting research. This workshop is relevant to all academic disciplines. 

Upon completion of this workshop, participants will be able to:

1. Evaluate the reproducibility crisis

2. Examine challenges of creating reproducible research data

3. Discuss foundational data management practices 

4. Review available tools that facilitate reproducible research data

Introductions (5 minutes)

Reproducibility Crisis (10 minutes)

• Evaluate the reproducibility crisis
  

Challenges of Reproducible Research (15 minutes)

• Examine challenges of creating reproducible research data

Best Practices for Reproducible Research & Tools (15 minutes)

• Discuss foundational data management practices 
• Review available tools that facilitate reproducible research data

Q&A (5 minutes)

Watch

• Introduction to Research Data Management by Aditi Gupta and Jessica Mussell (11 min)
• Intro to UVic Libraries' Research Data Services by Monique Grenier (3 min) 

Presentation slides: https://bit.ly/3iPS8jZ

Introductions 

Reproducibility Crisis

• Evaluate the reproducibility crisis
  

Challenges of Reproducible Research 

• Examine challenges of creating reproducible research data

Best Practices for Reproducible Research & Tools 

• Discuss foundational data management practices 
• Review available tools that facilitate reproducible research data

Q&A

Complete this short, 3 minute anonymous post-class feedback survey.

Learn

• University of Victoria Research Data Services Guide 
• 1,500 Scientists Lift the Lid on Reproducibility (Baker, 2016)
• Implementing Reproducible Research (Stodden et al., 2014)
• Replicability and Replication in the Humanities (Peels, 2019)
• Five Selfish Reasons to Work Reproducibly (Markowetz, 2015)