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BEGIN:VEVENT
DTSTART:20210426T200000Z
DTEND:20210426T213000Z
DTSTAMP:20210426T000000Z
SUMMARY:Reproducibility Workshop Series: Reproducible Data
DESCRIPTION: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.\n\nLearning Objectives\n\nBy the end of this workshop\, learners 
 should be able to\n\n\n	Describe the link between FAIR data and 
 reproducibility\n	Locate a data repository relevant to your research\n	Plan 
 in advance for data sharing\n	Follow UCSF data sharing 
 guidance\n\n\n\n\n\nInstructor: Ariel Deardorff\, UCSF Library Data Science 
 Initiative\n\nInstructor Bio\n\nAriel 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.
LOCATION:Online
ORGANIZER;CN="Danielle Westmark":MAILTO:danielle.westmark@unmc.edu
CATEGORIES:Data Science, Scholarly Communication, ZSFG
CONTACT;CN="Danielle Westmark":MAILTO:danielle.westmark@unmc.edu
STATUS:CONFIRMED
UID:LibCal-7601904
URL:https://calendars.library.ucsf.edu/event/7601904
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