Learn Data Management through Pokémon! Online
Research data management education provides guidance on how researchers can effectively manage their data to increase the scholarly impact from their research, comply with funder mandates, and take control of their research data! Did you know that Pokémon, a media franchise from Japan that features video games, movies, anime, manga, toys, and other creations, is a great way to learn data management? In this workshop, we will learn data management principles of file naming, metadata, and documentation through a lens of hands-on activities involving Pokémon. Prior experience with Pokémon is not required for this workshop, but participants should be prepared to take part in several hands-on activities with other workshop attendees.
Related LibGuide: Data Management for Research by Emily Bongiovanni
- Monday, September 13, 2021
- 10:00am - 11:00am
- Time Zone:
- Eastern Time - US & Canada (change)
- Virtual Workshop
- This is a virtual event. A URL to participate will be sent via a reminder email 24 hours before the event.
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.
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.