Tag Archives: research reproducibility

Workshop on Research Reproducibility and Data Visualization using R.

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Join UCLibraries and IT@UC for a workshop on Research Reproducibility and Data Visualization using R (part of the Data and Computational Science Series (funded by the Provost Office through a universal provider grant).

 

On April 16th, Dr. Mine Cetinkaya-Rundel, Associate Professor at Duke University and Data Scientist & Professional Educator at RStudio will be on campus to give a presentation about Reproducible Research and conduct a workshop on Data Visualization in R.

The day’s schedule is below.  The venue will be the Data Visualization Space in the Geology-Math-Physics Library – 240H Braunstein Hall.

10:00 am to 11:00 am  Presentation – Reproducible Research

11:00 am to 12:00 pm  Meet and Greet with Dr. Cetinkaya-Rundel  (Lunch provided)

12:00 pm to 2:00 pm  Workshop – Data Visualization in R with ggplot2 and gganimate

 

These events are free and open to all.

Visit the Faculty One Stop website to register.

More information about the DCSS 2019 series can be found on the DCSS website .

Flyer: DCS2 Word flyer_Rstudio

Workshops on Research Reproducibility

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Research Reproducibility Workshops

workshops facilitator April Clyburne-Sherin

workshops facilitator April Clyburne-Sherin

UC Libraries and IT@UC are pleased to offer two workshops on Research Reproducibility as part of the Data and Computational Science Series.  We are partnering with Code Ocean to offer these workshop on Oct 3rd and 4th.  The workshops facilitator is April Clyburne-Sherin from Code Ocean.  April 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 focused on creating curriculum and running workshops for scientists in open and reproducible research methods and is co-author of FOSTER’s Open Science Training Handbook. She is currently the Director of Scientific Outreach for the reproducibility platform Code Ocean.  Code Ocean (https://codeocean.com/) is a cloud-based computational reproducibility platform that provides researchers and developers an easy way to share, discover and run code published in academic journals and conferences.  Their mission is to make the world’s scientific code more reusable, executable and reproducible.  More information and registration for the workshops can be found at the links below.  Questions?  Email AskData@UC.Edu.  The events are free and open to all.

Workshop 1 — East Campus, Biomedical and Clinical Focus

URL – https://webapps2.uc.edu/ce/FacDev/Workshops/Details/11432

Title: Integrating reproducible best practices into biomedical and clinical research: A hands-on workshop for researchers – Data And Computational Science Series

Date: Wednesday, Oct. 3, 1 – 3pm

Location: Troup Learning Space Conf Rm-MSB G005G

Workshop 2 — West Campus, General Audience

URL – https://webapps2.uc.edu/ce/FacDev/Workshops/Details/11433

Title: Preparing your data and code for reproducible publication: A hands-on workshop for researchers – Data And Computational Science Series

Date: Thursday, Oct. 4, 10am – 12pm

Location: CEAS Library Classroom 850D Baldwin

DCS2 CodeOcean_flyerV2