Data Skills: Cleaning Messy Data with OpenRefine
Data Skills: Cleaning Messy Data with OpenRefine Online
Real world data can be messy, but clean, consistent data is critical for analysis and visualization. Data transformation can be complex and time-consuming, but luckily tools exist to make this process quicker and more reproducible!
In this hands-on virtual session you will learn the basics of batch cleaning messy data with OpenRefine, an open-source tool designed to efficiently clean and transform data with no programming required! This tool has been approved by University of Rochester IT. Please download and install OpenRefine before the workshop.
This workshop is part of the Data Skills series, taught by University of Rochester Libraries Data Services. Please register to receive the link and workshop materials.
- Date:
- Thursday, April 9, 2026
- Time:
- 2:00pm - 3:15pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Faculty or Staff General Public Graduate students or Postdocs Other Undergraduate students
- Categories:
- Workshop
Reproducibility Librarian
Data Librarian