2020 ESA Annual Meeting (August 3 - 6)

INS 18 - Reusing Ecological Data to Answer New Questions - Persistent Problems and Promising Progress

Wednesday, August 5, 2020: 12:30 PM-1:00 PM
Organizer:
Corinna Gries
Co-organizer:
Kristin Vanderbilt
Moderator:
Corinna Gries
This session will provide stimulating thoughts on the most pressing problems and some promising advances currently encountered when reusing ecological data to answer new questions. As more and more ecological observation data sets with varying temporal and spatial extents are becoming available meta-analyses and new combinations of data offer exciting opportunities for unlocking new insights - if certain caveats, experiences, and acceptable approaches are taken into account, that is.
The elusive Babel fish
Paul Hanson, University of Wisconsin; Corinna Gries, University of Wisconsin; Vedang Sharma, University of Wisconsin - Madison
Do you see what I see? Harmonizing observation data from multiple repositories
Alexis Catherine Garretson, George Mason University, Mohonk Preserve
Lather, rinse, reuse - Are our archived data valuable or all wet?
Kaitlin Farrell, University of Georgia; Kathleen C. Weathers, Cary Institute of Ecosystem Studies
Embracing the diversity of open data in ecology: Challenges, opportunities, and recommendations
Eric R. Sokol, Batelle, National Ecological Observatory Network (NEON)
Heterogeneity in soil carbon stocks: Data-based or database-based?
Avni Malhotra, Stanford University; Katerina Georgiou, Stanford University; Katherine E. Todd-Brown, University of Florida; Stevan Earl, Arizona State University; Jennifer W. Harden, Stanford University; Will R. Wieder, University of Colorado; Rob Jackson, Stanford University
Open code for open data: Shared code resources to facilitate use of NEON data
Christine Laney, Battelle, National Ecological Observatory Network (NEON)
Promises and progress in aggregated biodiversity occurrence data
Erica Krimmel, Florida State University; Deborah Paul, Florida State University
There's tons of great data out there, ontologies help you understand it
Jeanette Clark, University of California, Santa Barbara; Steven Chong, National Center for Ecological Analysis and Synthesis; Matthew B. Jones, Univ; Bryce Mecum, University of California Santa Barbara; Margaret O'Brien, University of California, Santa Barbara; Mark Schildhauer, University of California Santa Barbara
Data synthesis: No picnic, but no need to panic
Ian McCullough, Michigan State University; Kendra Spence Cheruvelil, Michigan State University; Jessica Diaz, Michigan State University; Maggie Haite, Michigan State University; Patrick J. Hanly, Michigan State University; Katelyn King, Michigan State University; Lauren K. Rodriguez, Michigan State University; Nicole J. Smith, Michigan State University; Joseph Stachelek, Michigan State University
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