Reproducibility Workshop Series: Rigorous Experimental Design Online
The scientific community, and many publishers, are increasingly demanding that experimental results be reproducible in order to be considered valid and valuable contributions. In order to achieve this, researchers must design their experiments carefully. In this workshop, we will review some of the key steps to consider in these critical planning stages. Please register below.
Learning Objectives
By the end of this workshop, learners will
- Be aware of different types of experimental biases
- Know what to consider in developing a good analysis plan
- Be able to identify the key components of a well-written methods section
Instructor: Karla Lindquist, Ph.D. - UCSF Library Data Science Initiative
Instructor Bio
Karla teaches and consults on topics related to statistics and bioinformatics, as well as programming in R. She also has expertise with shell scripting and other languages.
- Date:
- Monday, Apr 12 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
