Open Science 101: Open Research Tools & Workflows

Unlike traditional models of science that produce articles locked behind a journal paywall, open science is about opening up the tools, processes, and products of science to make research more reproducible and equitable. Whether you are interested in sharing a preprint on bioRxiv, accessing research data from a public repository, sharing your RNASeq protocols on, or getting credit for your analysis code, there are many ways to engage with open science.

This interactive, hands-on class will cover some of the most prevalent trends in open science including open access publishing, open research data, open protocols, and open code. We will introduce emerging biomedical funder and publisher requirements for open science, describe how you can get credit and citations for your work, and share best practices for integrating open science practices into your research workflow.

Learning Objectives

By the end of this workshop, learners will be able to:

  • Describe the different practices associated with open science/open research
  • Identify an open science practice to in their own work

This will be an online class via Zoom conferencing. 

Class Instructors

Ariel Deardorff is the Data Services Librarian at UCSF, and member of the Library's Data Science Initiative team. Ariel teaches courses on data management, open science and reproducibility. Contact Ariel at or visit the Data Science Initiative Website.

Anneliese Taylor is an advocate for open access publishing and open research practices who is passionate about making open the default. She is the Head of Scholarly Communication at the UCSF Library, where she provides guidance and clarity to UCSF students, faculty, and staff on open access, scholarly publishing and research analytics.

Dial-In Information

You will receive an email from LibCal with a Zoom link prior to the start of the workshop. 

Wednesday, June 24, 2020 at 10:30am to 12:00pm

Virtual Event

Students, Postdocs, Faculty, Staff




Data Science Initiative, online, data sharing, Data Sharing and Data Management, open science, Preprints




UCSF Library
Contact Info


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