Data & Donuts

In this workshop, participants will learn best practices for working with spreadsheet data. The session will showcase how researchers can use tools like OpenRefine and Python scripts to manage tabular data effectively. Please download and install OpenRefine – http://openrefine.org/download.html prior to the workshop. OpenRefine runs in a browser. It works best with Chrome, Firefox, or Safari.

This workshop will go over helpful strategies and techniques for effective research data management in all stages of the research lifecycle, from the drafting of comprehensive data management plans to successful publication of research data. Join this session to learn how to overcome data management challenges and stay in compliance with research data management regulations.

When you utilize custom research software to manage your data collection, processing, analysis, or visualization it is important to ensure that your code is backed up and versioned. Join this session to learn how you can utilize Git and GitHub to effectively manage the research code you develop and share it with other researchers as open source software.

R is a powerful statistical computing and graphics software that is open source and widely popular—particularly in academia. In this workshop we will cover how to use the R scripting language for working with research data.