How to Share Research Data to Meet Requirements and Promote Open Knowledge In-Person
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 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:
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Describe data sharing policies and motivations
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Identify relevant data and documentation for sharing
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Select an appropriate place to share their data
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Prepare data for sharing
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Plan for ethical and reproducible data sharing
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
Jill Barr-Walker is the Clinical Librarian, ZSFG Library and Adjunct Professor, Obstetrics, Gynecology & Reproductive Sciences.
Related LibGuide: Reproducible Data Management by Ariel Deardorff
- Date:
- Friday, Nov 22 2019
- Time:
- 11:00am - 12:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Location:
- ZSFG Library - Bldg. 30 - 1st Floor - Computer Lab
- Campus:
- ZSFG
- Categories:
- Data Science > Data Management Data Science ZSFG
