People, infrastructure, and data: A pathway to an inclusive and diverse ecological network of networks
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People_infrastructure_and_data ...
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Author
SanClements, M.D.Record, S.
Rose, K.C.
Donnelly, A.
Chong, S.S.
Duffy, K.
Hallmark, A.
Heffernan, J.B.
Liu, J.
Mitchell, J.J.
Moore, D.J.P.
Naithani, K.
O'Reilly, C.M.
Sokol, E.R.
Stack Whitney, K.
Weintraub-Leff, S.R.
Yang, D.
Affiliation
School of Natural Resources and the Environment, University of ArizonaIssue Date
2022-11-17Keywords
best practicesclimate
ecology
education
macrosystems ecology
network science
Special Feature: Harnessing the NEON Data Revolution
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John Wiley and Sons IncCitation
SanClements, M. D., Record, S., Rose, K. C., Donnelly, A., Chong, S. S., Duffy, K., ... & Yang, D. (2022). People, infrastructure, and data: A pathway to an inclusive and diverse ecological network of networks. Ecosphere, 13(11), e4262.Journal
EcosphereRights
© 2022 The Authors. Ecosphere published by Wiley Periodicals LLC on behalf of The Ecological Society of America. This is an open access article under the terms of the Creative Commons Attribution License.Collection Information
This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.Abstract
Macrosystem-scale research is supported by many ecological networks of people, infrastructure, and data. However, no network is sufficient to address all macrosystems ecology research questions, and there is much to be gained by conducting research and sharing resources across multiple networks. Unfortunately, conducting macrosystem research across networks is challenging due to the diversity of expertise and skills required, as well as issues related to data discoverability, veracity, and interoperability. The ecological and environmental science community could substantially benefit from networking existing networks to leverage past research investments and spur new collaborations. Here, we describe the need for a “network of networks” (NoN) approach to macrosystems ecological research and articulate both the challenges and potential benefits associated with such an effort. We describe the challenges brought by rapid increases in the volume, velocity, and variety of “big data” ecology and highlight how a NoN could build on the successes and creativity within component networks, while also recognizing and improving upon past failures. We argue that a NoN approach requires careful planning to ensure that it is accessible and inclusive, incorporates multimodal communications and ways to interact, supports the creation, testing, and promulgation of community standards, and ensures individuals and groups receive appropriate credit for their contributions. Additionally, a NoN must recognize important trade-offs in network architecture, including how the degree of centralization of people, infrastructure, and data influence network scalability and creativity. If implemented carefully and thoughtfully, a NoN has the potential to substantially advance our understanding of ecological processes, characteristics, and trajectories across broad spatial and temporal scales in an efficient, inclusive, and equitable manner. © 2022 The Authors. Ecosphere published by Wiley Periodicals LLC on behalf of The Ecological Society of America.Note
Open access journalISSN
2150-8925Version
Final published versionae974a485f413a2113503eed53cd6c53
10.1002/ecs2.4262
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Except where otherwise noted, this item's license is described as © 2022 The Authors. Ecosphere published by Wiley Periodicals LLC on behalf of The Ecological Society of America. This is an open access article under the terms of the Creative Commons Attribution License.