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Reproducibility Workshop Series: Designing a Rigorous Experiment In-Person
Overview
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, PhD - 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.
This workshop is part of a series on Biomedical Reproducibility. Other workshops in this series include:
- Sept 19 – Introduction to Reproducibility, Researcher Panel + Reception! - Ariel Deardorff
- Sept 26 – Rigorous Experimental Design – Karla Lindquist, PhD
- Oct 3 – Open Publishing - Veronique Kiermer, PhD, and Dan Morgan
- Oct 10 – Open Protocols – Lenny Teytelman, PhD
- Oct 24 – Open Code – Karthik Ram, PhD
- Oct 31 – Peer Review – Jessica Polka, PhD
- Nov 7 – Data Publishing – Daniella Lowenberg
- Nov 14 – Building a Reproducible Lab – Elizabeth Silva, PhD
- Date:
- Thursday, Sep 26 2019
- Time:
- 3:30pm - 5:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Location:
- Mission Hall 1400
- Campus:
- Mission Bay
- Categories:
- Data Science Open Access
