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How to Share Research Data to Meet Funder and Journal Requirements - Online!

How to Share Research Data to Meet Funder and Journal Requirements - Online! Online

Class Overview

If you are funded by the NIH, HHMI, or Gates Foundation, or plan to publish in PLOS, PNAS, Science or Nature it is very likely that you will be asked to make your research data publicly available. This is part of a global effort to make research results more transparent, reproducible, and equitable. But what data do you share and how exactly should you share it? The goal of this hands-on class is to get you up to speed with these new requirements and help you work reproducible and painless data sharing into your research process.

Learning Objectives

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

  • Describe data sharing policies and motivations

  • Identify relevant data and documentation for sharing

  • Select an appropriate place to share their data

  • Prepare data for sharing

  • Plan for ethical and reproducible data sharing

This will be an online class via Zoom conferencing. The zoom link will be sent out to registered attendees

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. For questions about this course or other courses email ariel.deardorff@ucsf.edu or visit the Data Science Initiative Website


Related LibGuide: Reproducible Data Management by Ariel Deardorff

Wednesday, Jul 22 2020
9:30am - 11:00am
  Data Science Initiative > Data Management     Data Science Initiative  
This is an online event. Event URL will be sent via registration email.

Registration is required. There are 11 seats available.

Event Organizer

Profile photo of Ariel Deardorff
Ariel Deardorff

Data Services Librarian