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DTSTART:20230213T210000Z
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SUMMARY:Writing a Data Management and Sharing Plan for NIH
DESCRIPTION:Overview:\n\nHave you heard of the new NIH Data Management and 
 Sharing Policy but want to learn more about how to comply? Want some more 
 guidance on writing your Data Management and Sharing Plan (DMS plan)? In 
 this hands-on workshop we will quickly introduce the new policy and then 
 work through each section of the DMS plan so you understand what to write 
 and can start drafting your own plan. We will also cover how to locate DMS 
 plan templates and sample plans\, and highlight resources for learning 
 more.\n\nLearning Objectives\n\nBy the end of this session you should be 
 able to:\n\n\n	Locate example DMS plans and templates \n	Draft an 
 NIH-compliant data management and sharing plan (DMS plan) for your 
 research\n	Identify resources for understanding discipline-specific 
 requirements and getting help\n\n\nInstructors\n\nAriel 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\n\nWasila Dahdul is the Data Curation Librarian in the Digital 
 Scholarship Services department at UC Irvine Libraries. She provides 
 instruction and support for research data management\, open access data 
 publishing\, and helping researchers meet funder or publisher data sharing 
 requirements. She can be reached at wdahdul@uci.edu. \n\nAbout UC Love Data 
 Week\n\nThis workshop is part of UC Love Data Week\, a week-long offering 
 of workshops focusing on using data to build a better future through data 
 management\, security\, sharing\, and preservation.  All members of the 
 University of California community are welcome to attend. Make sure to 
 register with your UC campus email.  A Zoom link will be emailed to 
 registered participants before the workshop starts.
LOCATION:Online
ORGANIZER;CN="Ariel Deardorff":MAILTO:ariel.deardorff@ucsf.edu
CATEGORIES:Data Management, Data Science
CONTACT;CN="Ariel Deardorff":MAILTO:ariel.deardorff@ucsf.edu
STATUS:CONFIRMED
UID:LibCal-9986694
URL:https://calendars.library.ucsf.edu/event/9986694
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