Research Data Management (RDM) and Reproducible Research

• Pre-workshop activities: 15 min
• Workshop Videos : 32 min

Why is Reproducibility Important?

Reproducible research establishes the validity of scholarly output and contributes to reasearcher credibility and reliability. Research data management (RDM) is foundational to establishing reproducibility, as RDM principles are at the centre of ensuring research is reproducible.

By engaging with research data management practices, you will improve reproducubility and:

• Stay organized throughout your research project
• Improve the quality of your research while guarding against misconduct and data falsification
• Enable the preservation and reuse of your data
• Fulfill emerging requirements as stipulated by institutions, publishers, and granting councils

Learning Objectives:

At the end of this workshop, you 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
   
   NEXT STEP: Pre-Workshop Videos

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