Mon, Sep 18, 2023

4:30 PM – 6 PM EDT (GMT-4)

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This workshop is an introduction to recommended practices in research data management. Participants across all research domains are encouraged to join. Researchers will learn techniques and principles behind reproducible research, data management across systems, data preservation and security, and documentation and data publishing practices. The workshop is likely to finish by 5:30 PM.

Target audience: Anyone working with research data

Learning objectives: (1) Understand FAIR (findable, accessible, interoperable, and reusable) data principles; (2) Gain visibility into areas for improvement regarding data storage and backup practices; (3) Understand best practices of documentation for data reusability; and (4) Increase the impact of your research by effectively showcasing and sharing data.

Knowledge prerequisites: None

Hardware/software prerequisites: None

Session format: In-person presentation and hands-on


Neggin Keshavarzian's profile photo

Neggin Keshavarzian

Neggin Keshavarzian is a passionate advocate of open science. Before joining the Princeton Research Data Service Neggin worked as a research specialist and data curator at the Princeton Neuroscience Institute. She curated large neuroimaging datasets and worked on multiple research projects in Dr. Ken Norman's Computational Memory Lab. Neggin received a MSc in Psychology from Drexel University with a focus on statistics and neuroimaging data analysis and received a BA in psychology from CSU Channel Islands in sunny southern California.

Sarah Reiff Conell's profile photo

Sarah Reiff Conell

Research Data Management Specialist

Hosted By

PICSciE/Research Computing | View More Events
Co-hosted with: GradFUTURES

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