Event box

Data Management Fundamentals

Data Management Fundamentals Online

Research data management education provides guidance on how researchers can effectively manage their data to increase the scholarly impact from their research. All domain areas engage with data in some manner, with the caveat that the physical form of these data may differ visually and structurally. Researchers at CMU engage with many unique forms of data, including algorithms, code, spreadsheets, computational outputs, images, video, and big data. This workshop will provide data management tips and tips specifically aimed at researchers from all levels (students, staff, and faculty) and broadly applicable to all domain areas, including how to clean data, develop file-naming schemes, and store your data securely.

Related LibGuide: Data Management for Research by Hannah Gunderman

Date:
Monday, September 27, 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