Reproducibility Workshop Series: Reproducible Data Online
Research data is increasingly valued as a necessary component of reproducible and open science. Initiatives focused on the usability of data like “FAIR”, coupled with mandates from funders and publishers that require data to be openly accessible, increase the need for a data savvy research workforce. This workshop will focus on organizing, preparing and sharing data for reproducibility. Please register below.
Learning Objectives
By the end of this workshop, learners should be able to
- Describe the link between FAIR data and reproducibility
- Locate a data repository relevant to your research
- Plan in advance for data sharing
- Follow UCSF data sharing guidance
Instructor: Ariel Deardorff, UCSF Library Data Science Initiative
Instructor Bio
Ariel Deardorff is the UCSF Data Services Librarian and member of the Library’s Data Science Team. In her role she teaches classes and provides support for research data management, open science, and reproducibility in the health sciences. She is an expert in research data publishing, and has led the Library’s involvement with several data infrastructure and policy projects. Ariel is also an open science advocate who performs research on the role of the Library in enabling open and reproducible research.
- Date:
- Monday, Apr 26 2021
- Time:
- 1:00pm - 2:30pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Campus:
- Online
- Online:
- This is an online event. Event URL will be sent via registration email.
- Categories:
- Data Science Scholarly Communication ZSFG
This workshop is part of a series on Biomedical Reproducibility. Other workshops in this series include:
- Introduction & Overview, April 5, 2021
- Rigorous Experimental Design, April 12, 2021
- Publishing & Peer Review, April 19, 2021
- Reproducible Data, April 26, 2021
- Reproducible Methods & Protocols, May 3, 2021
- Reproducible Code, May 10, 2021
- Trust and Transparency, May 17th, 2021
