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Open and reproducible research has become essential for scientific research. What do we mean by reproducible or replicable research? Why do you need to enhance the reproducibility of your work? What are some ways that you can make your own research computationally reproducible and shareable? This workshop will introduce a reproducible research pipeline that connects data collection, analysis, visualization, and presentation, using tools and platforms including R, Python, Docker, Binder, GitHub, Open Science Framework, and Zenodo.  Attendees will gain familiarity with principles, strategies and tools to document, manage and share your work to facilitate reproducible research. This workshop is appropriate for any researchers who are interested in applying these tools and strategies to their research.

Date:
Thursday, January 27, 2022
Time:
1:00pm - 4:00pm
Categories:
Classes & workshops  

Registration is required. There are no seats available but a waiting list is available.

Event Organizer

Profile photo of Christine Malinowski
Christine Malinowski

Research Data Librarian

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Profile photo of Ye Li
Ye Li

Chemistry and Chemical Engineering,
Materials Science and Engineering Librarian

Contact me