Articles | Volume 6, issue 1
https://doi.org/10.5194/soil-6-89-2020
https://doi.org/10.5194/soil-6-89-2020
Short communication
 | 
04 Mar 2020
Short communication |  | 04 Mar 2020

A new model for intra- and inter-institutional soil data sharing

José Padarian and Alex B. McBratney

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Cited articles

Brown, D. J., Shepherd, K. D., Walsh, M. G., Mays, M. D., and Reinsch, T. G.: Global soil characterization with VNIR diffuse reflectance spectroscopy, Geoderma, 132, 273–290, 2006. a
Dworkin, M.: SHA-3 standard: Permutation-based hash and extendable-output functions, Federal Information Processing Standards, available at: https://doi.org/10.6028/NIST.FIPS.202 (last access: 1 March 2020), 2015. a
Grinand, C., Arrouays, D., Laroche, B., and Martin, M. P.: Extrapolating regional soil landscapes from an existing soil map: sampling intensity, validation procedures, and integration of spatial context, Geoderma, 143, 180–190, 2008. a
Grunwald, S.: Environmental soil-landscape modeling: Geographic information technologies and pedometrics, CRC Press, 2016. a
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Short summary
Data sharing and collaboration are critical to solving large-scale problems. The prevailing soil data-sharing model is of a centralized nature and, consequently, results in the participants ceding control and governance over their data to the lead party. Here we explore the use of a distributed ledger (blockchain) to solve the aforementioned issues. We also describe the potential use case of developing a global soil spectral library between multiple, international institutions.