How to Share Research Data to Meet Funder and Journal Requirements - Online! Online
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.
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
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 email@example.com or visit the Data Science Initiative Website
Related LibGuide: Reproducible Data Management by Ariel Deardorff
- Wednesday, Jul 22 2020
- 9:30am - 11:00am
- This is an online event. Event URL will be sent via registration email.