Preparing your data and code for reproducible publication

Computational analyses are playing an increasingly central role in research. Journals, funders, and other researchers are calling for published research to include associated data and code. However, many researchers have not received training in best practices and tools for sharing code and data. 
This is a step-by-step, practical workshop to prepare your research code and data for computationally reproducible publication. The workshop starts with some brief introductory information about computational reproducibility, but the bulk of the workshop is guided work with code and data. We cover the basic best practices for publishing code and data. Participants move through best practices for organizing their files, preparing their code for reuse, documentation, and submitting their code and data to share using Code Ocean. 
Lunch will be provided.
Prerequisites: Participants should bring their own data, code, and laptop.
Audience: Researchers who use code in their research and wish to share it.
Workshop goals:
<UL>
<LI>Learn best practices for file organization, documentation, automation, and dissemination.</LI>
<LI>Assess possible tools for publishing code and data.</LI>
<LI>Submit your code and data for publishing on Code Ocean.</LI>
</UL>
Location: Lewis Library, Room 120, Princeton University
A dedicated demonstration of the Code Ocean platform will follow the workshop from 2:30-3:00pm in 347 Lewis Library. RSVP for the demo here: <A HREF="https://www.eventbrite.com/e/code-ocean-demo-tickets-45805226666" TARGET="_blank" TITLE="Code Ocean Demo" REL="noopener noreferrer">https://www.eventbrite.com/e/code-ocean-demo-tickets-45805226666</A>.
Speaker: 
April Clyburne-Sherin is an epidemiologist, methodologist, and expert in open science tools, methods, training, and community stewardship. She holds an MS in Population Medicine (Epidemiology). Since 2014, she has focussed on creating curriculum and running workshops for scientists in open and reproducible research methods (Center for Open Science, Sense About Science, SPARC) and is co-author of FOSTER's Open Science Training Handbook. In her current role as Outreach Scientist at Code Ocean, she trains scientists in computational reproducibility best practices.

120 Lewis Library

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

Preparing your data and code for reproducible publication

More events from this organizer

Follow organizers to get events picked for you

Still looking for the right event?

Explore all events in Princeton and filter by date, category, and more to find the perfect fit.

Preparing your data and code for reproducible publication

More events from this organizer

Follow organizers to get events picked for you

You might also like...

Browse more events with different dates, prices, and formats to find your next great experience.

Still looking for the right event?

Explore all events in Princeton and filter by date, category, and more to find the perfect fit.