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 mini workshop 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 to registered attendees.

Class Instructor

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

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