As science fields enter the Big Data revolution, open-access repositories are essential for addressing larger-scale questions than are possible for single researchers by making data findable, accessible, interoperable, and reusable (FAIR). Furthermore, transparent data and code are increasingly important for reproducible research, especially for data types that inherently require...
Authors
Thomas M. DeCarlo, Oliwia Jasnos, Avi Strange, Andreas Andersson, Angel T. Bautista VII, Sierra Kathleen Bloomer, Isaiah W. Bolden, Maartje Bosman, Thomas Brachert, Giulia B. Braz, Gabriel O. Cardoso, J. P. Carricart-Ganivet, Jessica E. Carilli, Karl D. Castillo, Leticia Cavole, Sylvia Chan, Xuefei Chen, Ben Chomitz, Thierry Correge, Travis A. Courtney, Mikayla Diegan, Juan Pablo D'Olivio, Rob Dunbar, Ian C. Enochs, Ludmilla Falsarella, Thomas Felis, Gabriela Gutierrez-Estrada, Brighton Hedger, Shijian Hu, Seamus Jameson, Stacy D. Jupiter, Paul Kench, Diego Kersting, Ke Lin, Kerstin Lindblad-Toh, Yi-Wei Liu, Carla A. Lorigados, Derek P. Manzello, Malcolm T. McCulloch, Miguel Mies, Rodrigo L. Moura, Ferdinand K.J. Oberle, Natan Pereira, Nancy G. Prouty, Riovie D. Ramos, Haojima Ren, Emma Ryan, Diane M. Thompson, Lauren T. Toth, Marina Vergotti, Jody M. Webster, Jens Zinke