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Reproducibility Workshop Series: Introduction & Overview

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
Categories:
  Data Science Initiative     Scholarly Communication     ZSFG  
Online:
This is an online event. Event URL will be sent via registration email.
Registration has closed.

This workshop is part of a series on Biomedical Reproducibility. Other workshops in this series include:

 

Event Organizer

Profile photo of Anneliese Taylor
Anneliese Taylor

Head of Scholarly Communication
anneliese.taylor@ucsf.edu

Profile photo of Ariel Deardorff
Ariel Deardorff

Data Services Librarian

ariel.deardorff@ucsf.edu

Profile photo of Danielle Westmark
Danielle Westmark