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.
By the end of this workshop learners will be able to:
This will be an online class via Zoom conferencing. The zoom link will be sent 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 firstname.lastname@example.org or visit the Data Science Initiative Website
The zoom link will be sent after registering.
Wednesday, July 22 at 9:30am to 11:00amVirtual Event