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Open Science 101: Getting started with open research tools and workflows Online

 

 

 

 

 

 

 

 

 

Class Overview

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 protocols.io, 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 adopt 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 ariel.deardorff@ucsf.edu 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. Visist the Scholarly Communication website.

Related LibGuide: Reproducible Data Management by Ariel Deardorff

Date:
Wednesday, Jun 24 2020
Time:
10:30am - 12:00pm
Campus:
Online
Categories:
  Data Science Initiative > Data Management     Data Science Initiative     Scholarly Communication  
Online:
This is an online event. Event URL will be sent via registration email.

Registration is required. There are 4 seats available.

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