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Ten simple rules to increase computational skills among biologists with Code Clubs

2020; Public Library of Science; Volume: 16; Issue: 8 Linguagem: Inglês

10.1371/journal.pcbi.1008119

1553-7358

Ada K. Hagan, Nicholas A. Lesniak, Marcy J. Balunas, Lucas Bishop, William L. Close, Matthew K. Doherty, Amanda G. Elmore, Kaitlin J. Flynn, Geoffrey D. Hannigan, Charlie C. Koumpouras, Matthew L. Jenior, Ariangela J. Kozik, Kathryn McBride, Samara Rifkin, Joshua M. A. Stough, Kelly L. Sovacool, Marc A. Sze, Sarah Tomkovich, Begüm D. Topçuoğlu, Patrick D. Schloss,

Research Data Management Practices

Exploratory Science Center, Merck & Co , Inc , Cambridge, Massachusetts, United States of America Affiliation: Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, United States of America ORCID logo http://orcid org/0000-0003-3140-537X Patrick D Schloss * E-mail: pschloss@umich edu Affiliation: Department of Microbiology and Immunology, University of Michigan, Ann Arbor, Michigan, United States of America ORCID logo http://orcid org/0000-0002-6935-4275 Introduction For most biologists, the ability to generate data has outpaced the ability to analyze those data In addition to building upon material from traditional coursework and staying current on the literature, Journal Clubs help strengthen skills in critical thinking, communication, and integrating the literature [11] Because most Journal Clubs occur on a regular schedule, they are effective by virtue of repeated practice With this model in mind, over the past four years we have experimented with creating a Code Club model with the goal of improving reproducible data analysis skills in a laboratory environment [ ]presenters were reluctant to offer to present again