Data Management for Quantitative Data Online
Research data management education provides guidance on how researchers can effectively manage their data to increase the scholarly impact from their research. However, guidelines for data management may vary significantly across domain areas. 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 using quantitative data engage with many unique forms of data, including algorithms, code, spreadsheets, computational outputs, and big data. This workshop will provide data management tips and tips specifically aimed at quantitative researchers from all levels (students, staff, and faculty), including how to clean data, develop file-naming schemes, and store your data securely.
Related LibGuide: Data 101 by Emily Bongiovanni
- Thursday, February 25, 2021
- 12:00pm - 1:00pm
- 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.
Online Workshop Information:
- The link to join this event will be found in your confirmation and reminder emails.
- 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.
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.