Reproducibility Workshop Series: Introduction & Overview Online
Join us as we launch the spring 2021 workshop series on Reproducibility for Biomedical Researchers! This online session will start with an overview of the reproducibility "crisis", discuss reproducibility in light of the COVID-19 pandemic, and highlight solutions for making research more reproducible. Please register below.
Learning Objectives
By the end of this session, learners will be able to:
- Define reproducibility in the context of biomedical sciences
- Describe two causes of non-reproducible research
- Identify one reproducible practice they want to further explore
Instructor: Ariel Deardorff - UCSF Library Data Services Librarian
Instructor Bio
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, Apr 5 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 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
