Reproducibility Workshop Series: Reproducible Code Online
Despite the importance of research software for science, a majority of scientists do not have sufficient training to create reproducible code. In this workshop we will discuss how to set up you work so others can easily understand and reproduce all of your computational steps. We will also cover best practices for versioning code, sharing code, and citing code for academic credit. Please register below.
Learning Objectives
By the end of this session, participants will be able to:
- Recognize when to cite code in your research
- Identify ways to make their code more reproducible
- Share and archive code associated with their research papers
Instructor: Kat Koziar, UC Riverside Library & Ariel Deardorff, UCSF Library
Instructor Bio
Kat Koziar is the Data Librarian at UC Riverside where her key responsibility is to develop educational programming and hold consultations on a variety of topics related to research data, including data management, visualization, and data science.
Ariel Deardorff is the UCSF Data Services Librarian and member of the Library’s Data Science Team. In her role she teaches classes and provides support for research data management, open science, and reproducibility in the health sciences. She is an expert in research data publishing, and has led the Library’s involvement with several data infrastructure and policy projects. Ariel is also an open science advocate who performs research on the role of the Library in enabling open and reproducible research.
- Date:
- Monday, May 10 2021
- Time:
- 1:00pm - 2:30pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Campus:
- Online
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- Data Science > Programming Data Science Scholarly Communication ZSFG
This workshop is part of a series on Biomedical Reproducibility. Other workshops in this series include:
- Introduction & Overview, April 5, 2021
- Rigorous Experimental Design, April 12, 2021
- Publishing & Peer Review, April 19, 2021
- Reproducible Data, April 26, 2021
- Reproducible Methods & Protocols, May 3, 2021
- Reproducible Code, May 10, 2021
- Trust and Transparency, May 17th, 2021
