Crowdsourcing Guidelines for a Successful Data Event: An Un(conference) Panel

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Crowdsourcing Guidelines for a Successful Data Event: An Un(conference) Panel Jamene Brooks-Kieffer Michelle Hudson Andrew Johnson Mark Laufersweiler Brianna Marshall Scott Martin Steve Van Tuyl University of Kansas Yale University University of Colorado University of Oklahoma University of Wisconsin University of Michigan Oregon State University RDAP 2016 | May 5, 2016

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Now: Data events panel 2-2:45: Discussion groups 2:45-3: Wrap up

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Center for Open Science osf.io Jamene Brooks-Kieffer Andrew Johnson

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Day of Data elischolar.library.yale.edu/dayofdata Michelle Hudson

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Software + Data Carpentry Active learning environment with limited prepared slides (not the same as free form, defined lesson plan still there) •  Mistakes embraced and become teaching moments, especially wrt instructor mistakes •  Working test environment (software setups) Community •  Instructors are peers and not necessarily experts •  Come with a colleague or friend Learning new tools, lowering barriers, demystification Approaching best(better) practices

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-----Differences----- Focus: reproducibility in workflow with code *nix shell Language and code •  test driven development •  Beginner / Intermediate •  R/Python/Matlab Version Control •  Git and GitHub Capstones available •  NLT •  Pandas •  Geomics Focus: best practices for data management and visualization Domain specific (ecology, genomics, geo, social, etc.) Tools: •  Spx best practices •  SQL •  R/Python Coding •  Mostly for data munging and visualization •  Some reproducibility concepts SC DC

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Software Carpentry software-carpentry.org Mark Laufersweiler Scott Martin

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Data Carpentry datacarpentry.org Brianna Marshall Steve Van Tuyl

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Learn •  In-depth about one data event •  Snippets from multiple data events Fill out the event template (now or later) Take notes How to use this session

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Image courtesy of Flickr user samthesensydreamer (CC BY NC ND) t a k e notes

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Pick a group! Link to shared folder: http://tinyurl.com/RDAP16 2-2:45pm: Discussion groups 2:45-3pm: Wrap up During this session you can move from group to group as much or as little as you’d like.

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what’s n e x t

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Link to shared folder: http://tinyurl.com/RDAP16

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Link to shared folder: http://tinyurl.com/RDAP16

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Add your data event to the shared Google Drive folder by Friday, June 3. We will publish all collected data events through the Open Science Framework by Friday, July 1.

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Questions? Link to shared folder: http://tinyurl.com/RDAP16 Brianna Marshall: brianna.marshall@wisc.edu Jamene Brooks-Kieffer: jamenebk@ku.edu