Research Data Management Workshop for graduate students, Jan. 27-29

AI brain

 

Research Data Management Workshop
Monday, Jan. 27 at 1 p.m. to Wednesday, Jan. 29 at 2 p.m.
120 Lewis Library

Washington Road & Ivy Lane

 

Join experts from across campus for a three-day workshop on research data management for graduate students, organized by the Princeton Research Data ServicePrinceton 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

Register by Sunday, December 22, 2019.

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. 

Code of Conduct

We are committed to providing a welcoming and harassment-free experience for everyone, regardless of gender, gender identity and expression, age, sexual orientation, disability, physical appearance, body size, race, ethnicity, religion (or lack thereof), or technology choices. We do not tolerate harassment of workshop participants in any form. This code of conduct applies to all participants, including Princeton staff and applies to all modes of interaction, both in-person and online.

Princeton Research Data Management Workshop participants agree to:

  • Be considerate in speech and actions, and actively seek to acknowledge and respect the boundaries of fellow attendees.
  • Refrain from demeaning, discriminatory, or harassing behavior and speech. Harassment includes, but is not limited to: deliberate intimidation; stalking; unwanted photography or recording; sustained or willful disruption of talks or other events; inappropriate physical contact; use of sexual or discriminatory imagery, comments, or jokes; and unwelcome sexual attention. If you feel that someone has harassed you or otherwise treated you inappropriately, please alert any member of the organizing committee in person.
  • Alert a Workshop presenter/instructor or organizer if you notice a dangerous situation, someone in distress, or violations of this code of conduct, even if they seem inconsequential.
  • Abide and adhere to PU’s Rights, Rules, Responsibilities

We welcome your feedback, and we thank you for working with us to make the workshop a safe, inclusive, and enjoyable experience for everyone who participates.

Parts of above text is licensed CC BY-SA 4.0. Credit to SRCCON and URSSI.

Questions? Contact prds@princeton.edu