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DTSTART:20191024T223000Z
DTEND:20191025T000000Z
DTSTAMP:20191024T000000Z
SUMMARY:Reproducibility Workshop Series: Open Code
DESCRIPTION:\n\nOverview\n\nMost modern advances in science have been made 
 possible thanks to use of software. This software\, also known as 
 “research software”\, has become essential to progress in science and 
 engineering. Data and publications most often created\, analyzed\, and 
 stored electronically\, using tools and methods expressed in software. 
 Despite the importance of research software for science\, a majority of 
 scientists do not have sufficient training and understanding of best 
 practices that allow for reuse and reproducibility of software artifacts. 
 \n\nIn this workshop you will learn how to set up you work so others can 
 easily reproduce all of your computational steps and generate outputs in a 
 variety of formats. You’ll also learn about best practices for sharing 
 code\, when to turn a loose collection of scripts into a software package\, 
 and how to get academic credit for such work. Please register 
 below.\n\nLearning Objectives \n\nBy the end of this session\, participants 
 will be able to:\n\n\n	Explain several ways in which to share their work as 
 reproducible notebooks.\n	Share and archive code/software associated with 
 papers\n\n\nInstructor: Karthik Ram\, PhD - Berkeley Institute of Data 
 Science\, rOpenSci\n\nInstructor Bio\n\n\n\nKarthik is a senior research 
 data scientist at the Berkeley Institute of Data Science and a co-founder 
 and director of the rOpenSci project\, and The US Research Software 
 Sustainability Institute. Karthik is also a senior PI at the UC Berkeley 
 Initiative for Global Change Biology. Prior to joining Berkeley\, he earned 
 his PhD in Ecology & Evolution from the University of California\, Davis. 
 Much of his recent work focuses on building tools and services around open 
 data and growing diverse data science communities.\n\n \n\n \n\n \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, Programming
CONTACT;CN="Ariel Deardorff":MAILTO:ariel.deardorff@ucsf.edu
STATUS:CONFIRMED
UID:LibCal-5671671
URL:https://calendars.library.ucsf.edu/event/5671671
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