Datathons: fostering equitability in data reuse in ecology

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.1016/j.tim.2024.02.010. This is version 3 of this Preprint.

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Authors

Stephanie Jurburg, Maria J. Alvarez Blanco , Antonis Chatzinotas, Anahita Kazem, Birgitta Koenig-Ries, Doreen Babin, Kornelia Smalla, Victoria Cerecetto, Gabriela Fernandez-Gnecco, Fernanda Covacevich, Emilce Viruel, Yesica Bernaschina, Carolina Leoni, Silvia Garaycochea, Jose. A Terra, Pablo FRESIA CORONEL, Eva Lucía Margarita Figuerola, Luis Gabriel Wall, Julieta Mariana Covelli, Ana Carolina Agnello, Esteban Emanuel Nieto, Sabrina Festa, Lina Edith Dominici, Marco Allegrini, María Celina Zabaloy, Marianela Estefanía Morales, Leonardo Erijman, Anahi Coniglio, Fabricio Dario Cassán, Sofia Nievas, Diego M. Roldán, Rodolfo Menes, Patricia Vaz Jauri, Carla Silva Marrero, Adriana Montañez Massa, María Adelina Morel Revetria, Ana Fernández-Scavino, Luciana Pereira Mora, Soledad Martínez, Juan Pablo Frene

Abstract

Approaches to rapidly collect global biodiversity data are increasingly important, but biodiversity blindspots persist. We organized a three-day Datathon event to improve the openness of local biodiversity data, and facilitate data reuse by local researchers. The first Datathon, organized among microbial ecologists in Uruguay and Argentina assembled the largest microbiome dataset in the region to date, and formed collaborative consortia for microbiome data synthesis.

DOI

https://doi.org/10.32942/X2389Q

Subjects

Biodiversity, Biology, Environmental Microbiology and Microbial Ecology Life Sciences, Genetics, Genetics and Genomics, Genomics, Life Sciences, Microbiology

Keywords

Microbiome, synthesis, global south, 16S rRNA gene

Dates

Published: 2024-04-04 13:20

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License

CC BY Attribution 4.0 International

Additional Metadata

Language:
English

Conflict of interest statement:
None

Data and Code Availability Statement:
The Data and Code necessary to replicate the figures are available at https://github.com/MariaAlvBla/datathon_2022_report_figs