Data Skills: Cleaning Messy Data with OpenRefine
Event box
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 session led by Data Librarian Heather Owen and Reproducibility Librarian Sarah Siddiqui, 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! Please download and install OpenRefine before the workshop.
This event will be held virtually. Please register to receive the link and workshop materials. If you require any accommodations to fully participate in this event, please contact Sarah Siddiqui at ssiddiqui@library.rochester.edu.
This workshop is part of the Data Skills series, taught by UR Libraries Data Services. Feel free to contact us with any data questions you have!
Related LibGuide: Research Data Management & Sharing by Heather Owen
- Date:
- Tuesday, April 22, 2025
- Time:
- 11:00am - 12:15pm
- 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 Library staff Undergraduate students
- Categories:
- Workshop
Event Organizer
Reproducibility Librarian
Data Librarian