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Develop Good File Naming Habits through 1980s Album Covers!

Develop Good File Naming Habits through 1980s Album Covers! Online

File naming is a foundational practice in data management. Your digital files in any research or class project should have descriptive file names which help distinguish them from other files and signal the contents of the file. Coming up with file names for 1980s album covers is a fun, effective way to develop good file naming habits that can be applied to the files in your own research or coursework! Come to this workshop prepared to engage with the instructors and other participants in applied activities.

Related LibGuide: Data Management for Research by Hannah Gunderman

Date:
Monday, October 4, 2021
Time:
10:00am - 11:00am
Time Zone:
Eastern Time - US & Canada (change)
Campus:
Virtual Workshop
Categories:
  Working With Data  
Online:
This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.
Registration has closed.

Virtual Workshop Information:

  • The link to join this event will be found in your reminder email 24 hours before the event. 
  • Please join a few minutes early to ensure that your audio setup is working correctly.
  • All events are shown in Pittsburgh time. Visit this time zone converter to see when this event will take place in your time zone.

Workshops and events for Carnegie Mellon University Libraries are open to all, regardless of race, color, national origin, sex, disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information.

If you require accessibility accommodations, please contact the workshop instructor.

Event Organizer

Profile photo of Hannah Gunderman
Hannah Gunderman

Hannah Gunderman (any pronouns) is the Data, Gaming, and Popular Culture Librarian at Carnegie Mellon University Libraries,  providing data and data management support and education for students, staff, and faculty in all areas of study, from fine arts to STEM, with a particular affinity for data used in gaming and popular culture research.

About & Contact Info