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Reproducibility Workshop Series: Rigorous Experimental Design

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.

Monday, Apr 12 2021
1:00pm - 2:30pm
Time Zone:
Pacific Time - US & Canada (change)
This is an online event. Event URL will be sent via registration email.
  Data Science     Scholarly Communication     ZSFG  
Registration has closed.

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


Event Organizer

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Anneliese Taylor

Head of Scholarly Communication

Profile photo of Ariel Deardorff
Ariel Deardorff

Data Services Librarian


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Karla Lindquist
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Danielle Westmark