Sharing Makes Science Better

Tuesday, August 6, 2013: 8:00 AM-10:00 AM
M100IB, Minneapolis Convention Center
Sandra Chung, NEON, Inc.
Jacquelyn L. Gill, University of Maine
Scientists too often labor alone. The need to closely guard ideas during the race to immortalize them in professional publications can make the practice of science crushingly lonely and ill-informed by tools and knowledge that could make science easier and better. Occasional scientific meetings are often the only opportunities to share ongoing work and connect with colleagues outside of one’s immediate working environment. But there’s a fertile online science ecosystem of innovation, collaboration and mutual support that carries on all year round, and its lifeblood is a network of scientists and science lovers who openly share tools, data, knowledge and ideas that help all researchers to do stronger, better, faster science. The rapidly growing open source and online science communities suggest a new model of doing science in which we build our work on tools, data, knowledge and ideas that are freely offered and contribute our own in return. This session features several free and open-source tools that ecologists have created specifically to help fellow researchers do the work of ecological science, as well some other tools we didn’t create but have tried and found enormously useful. We encourage our colleagues to try them, improve upon them, and perhaps most importantly, share what they’ve learned so that others can benefit as they have.
 Big data in ecology
Ethan P. White, University of Florida
 Onemercury - Ecological meta(data) search and rescue
Amber Budden, DataONE, University of New Mexico
 The virtual, expanding world of data provided by ONEDrive
Matthew B. Jones, National Center for Ecological Analysis and Synthesis; Dave Vieglais, University of Kansas; Roger Dahl, University of New Mexico; Ryan Kroiss, US Geological Survey; Christopher Brumgard, University of Tennessee
 Using GitHub to collaborate in scientific programming
Edmund M. Hart, University of British Columbia
 R-based tools for open and collaborative science
Scott A. Chamberlain, Rice University
 Publishing useful data with Morpho
Jim Regetz, University of California Santa Barbara
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