Data/Python Open Hours for Spring Semester

Research data not playing nicely? Don’t let a data management or a technical problem come between you and your data being beautiful. Let the Research Data Service and the Scholarly Commons help.

The RDS has once again partnered with the Scholarly Commons to offer Data/Python Open hours for the Spring 2016 semester. These drop-in hours are designed for anyone needing data management or technical help on a research project. All students, staff, and faculty are welcome to drop by (for free!) to get help with:

• Research data management
• Learning how to code
• Using Python and R for reproducible research
• Accessing large data files
• Cleaning data
• Web scraping
• And much more!

Please bring your computer and any data files you’re trying to work with. Drop-in hours are not designed to be homework help for programming or statistics courses.

Stop by anytime between 3-5pm on Tuesdays starting January 19 at the Scholarly Commons (Room 306 Main Library; near the Wright Street stairwell).

Questions? Contact Elizabeth ( or the Scholarly Commons (

(Guest post by Elizabeth Wickes)

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