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DTSTART:20190926T223000Z
DTEND:20190927T000000Z
DTSTAMP:20190926T000000Z
SUMMARY:Reproducibility Workshop Series: Designing a Rigorous Experiment
DESCRIPTION:Overview\n\nThe scientific community\, and many publishers\, 
 are increasingly demanding that experimental results be reproducible in 
 order to be considered valid and valuable contributions. In order to 
 achieve this\, researchers must design their experiments carefully. In this 
 workshop\, we will review some of the key steps to consider in these 
 critical planning stages. Please register below.\n\nLearning Objectives 
 \n\nBy the end of this workshop\, learners will\n\n\n	Be aware of different 
 types of experimental biases\n	Know what to consider in developing a good 
 analysis plan\n	Be able to identify the key components of a well-written 
 methods section\n\n\nInstructor: Karla Lindquist\, PhD - UCSF Library Data 
 Science Initiative\n\nInstructor Bio\n\nKarla teaches and consults on 
 topics related to statistics and bioinformatics\, as well as programming in 
 R. She also has expertise with shell scripting and other languages.\n\nThis 
 workshop is part of a series on Biomedical Reproducibility. Other workshops 
 in this series include:\n\n\n	Sept 19 – Introduction to Reproducibility\, 
 Researcher Panel   Reception! - Ariel Deardorff\n	Sept 26 – Rigorous 
 Experimental Design – Karla Lindquist\, PhD\n	Oct 3 – Open Publishing - 
 Veronique Kiermer\, PhD\, and Dan Morgan\n	Oct 10 – Open Protocols – 
 Lenny Teytelman\, PhD\n	Oct 24 – Open Code – Karthik Ram\, PhD\n	Oct 31 
 – Peer Review – Jessica Polka\, PhD\n	Nov 7 – Data Publishing – 
 Daniella Lowenberg\n	Nov 14 – Building a Reproducible Lab – Elizabeth 
 Silva\, PhD\n
LOCATION:Mission Hall 1400\, Mission Bay
ORGANIZER;CN="Ariel Deardorff":MAILTO:ariel.deardorff@ucsf.edu
CATEGORIES:Data Science, Open Access
CONTACT;CN="Ariel Deardorff":MAILTO:ariel.deardorff@ucsf.edu
STATUS:CONFIRMED
UID:LibCal-5671497
URL:https://calendars.library.ucsf.edu/event/5671497
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