Join experts from across campus for a three-day workshop on research data management for graduate students , organized by the Princeton Research Data Service , Princeton Institute for Computational Science and Engineering , and OIT Research Computing .
- Creating a data management plan
- Storing, moving, preserving, and sharing data
- Data analysis tools, including python and R
- Tools for open research
- Legal and ethical considerations of publishing and sharing data
- Break-out sessions focusing on working with data from different disciplines, including humanities, sciences, engineering, and social sciences
Open to all current Princeton University graduate students with an active PU NetID. No prior knowledge of software or tools required. Seating is limited, so advanced registration is required. Participants are expected to attend all three days.
If you are unable to attend the entire workshop but would like to attend a portion, please email email@example.com , and we will add you to the wait list. If seats are available, we will do our best to accommodate.
This event is co-sponsored by the Center for Digital Humanities , Center for Statistics and Machine Learning , Data-Driven Social Science Initiative, Graduate School , Office of the Dean for Research , and Princeton University Library.