Managing Research Data
Registration
Details
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: A Unix-enabled account and access to the RC clusters is recommended, but not required. You can satisfy these requirements by requesting an account on Adroit (https://bit.ly/3QER9Sv) at least 48 hours before the workshop. For full details of obtaining an account on a Research Computing system, please see: https://researchcomputing.princeton.edu/getting-started
Session format: In-person presentation and hands-on
Speakers
Rishi Joshi
Princeton University
Rishi Joshi is a Research Data Storage Management Engineer for Research Computing and the Princeton Research Data Service. His focus is in enabling research by applying supercomputing architecture to new areas of need. Before joining Princeton, Rishi was fortunate to work on the largest private and public clusters as a specialty platform engineer, where he found a passion in bringing HPC infrastructure and tools to various new AI, research, and media platforms previously facing bottlenecks. Now his goal is to strategically architect storage clusters to handle the next generations of diverse research workloads. Rishi received his MS in Information Assurance and Cybersecurity.
Matt Chandler
Princeton University
Matt is a dedicated proponent of open research practices across disciplines, with expertise in the social sciences and experience with data management in a variety of settings. He has a PhD in Sociology and Peace Studies from the University of Notre Dame, where his research focused on contentious political transitions and social network dynamics. He also has a background in the humanities, having concentrated on philosophy and religious studies as an undergraduate. Before joining the Princeton Research Data Service in November 2019, Matt completed a postdoctoral fellowship through the Interdisciplinary Center for Network Science and Applications at Notre Dame, where he was a core researcher and data manager for the NetHealth Project, a large study funded by the National Institutes of Health (NIH).
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.
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Co-hosted with: GradFUTURES
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