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. 

Topics include:

• 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 prds@princeton.edu, 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. 

HathiTrust is a massive digital library accessible to Princeton researchers. It is both a resource for close reading and a trove of textual data. Join us as we explore one use case of HathiTrust, the Princeton Prosody Archive, as well as learn more about the tools and data for computational text analysis provided by HathiTrust and the HathiTrust Research Center.

CDH Dataset Curation Grants familiarize recipients with the analytical and technological practices of working with humanities data. Grantees are taught best practices in data selection, gathering, modeling, cleaning, transformation, and maintenance, with the aim of producing a research dataset suitable for computational analysis. We seek applicants who are interested in participating in the CDH’s ongoing conversation about methodological, cultural, and ethical questions raised by curating humanities data.  

For more information and to apply, see here.