Reviews and syntheses: The promise of big diverse soil data, moving current practices towards future potential
dc.contributor.author | Todd-Brown, Katherine E. O. | en |
dc.contributor.author | Abramoff, Rose Z. | en |
dc.contributor.author | Beem-Miller, Jeffrey | en |
dc.contributor.author | Blair, Hava K. | en |
dc.contributor.author | Earl, Stevan | en |
dc.contributor.author | Frederick, Kristen J. | en |
dc.contributor.author | Fuka, Daniel R. | en |
dc.contributor.author | Santamaria, Mario Guevara | en |
dc.contributor.author | Harden, Jennifer W. | en |
dc.contributor.author | Heckman, Katherine | en |
dc.contributor.author | Heran, Lillian J. | en |
dc.contributor.author | Holmquist, James R. | en |
dc.contributor.author | Hoyt, Alison M. | en |
dc.contributor.author | Klinges, David H. | en |
dc.contributor.author | LeBauer, David S. | en |
dc.contributor.author | Malhotra, Avni | en |
dc.contributor.author | McClelland, Shelby C. | en |
dc.contributor.author | Nave, Lucas E. | en |
dc.contributor.author | Rocci, Katherine S. | en |
dc.contributor.author | Schaeffer, Sean M. | en |
dc.contributor.author | Stoner, Shane | en |
dc.contributor.author | van Gestel, Natasja | en |
dc.contributor.author | von Fromm, Sophie F. | en |
dc.contributor.author | Younger, Marisa L. | en |
dc.date.accessioned | 2022-10-25T14:02:58Z | en |
dc.date.available | 2022-10-25T14:02:58Z | en |
dc.date.issued | 2022-07-28 | en |
dc.description.abstract | In the age of big data, soil data are more available and richer than ever, but - outside of a few large soil survey resources - they remain largely unusable for informing soil management and understanding Earth system processes beyond the original study. Data science has promised a fully reusable research pipeline where data from past studies are used to contextualize new findings and reanalyzed for new insight. Yet synthesis projects encounter challenges at all steps of the data reuse pipeline, including unavailable data, labor-intensive transcription of datasets, incomplete metadata, and a lack of communication between collaborators. Here, using insights from a diversity of soil, data, and climate scientists, we summarize current practices in soil data synthesis across all stages of database creation: availability, input, harmonization, curation, and publication. We then suggest new soil-focused semantic tools to improve existing data pipelines, such as ontologies, vocabulary lists, and community practices. Our goal is to provide the soil data community with an overview of current practices in soil data and where we need to go to fully leverage big data to solve soil problems in the next century. | en |
dc.description.notes | This work is based on materials provided by the ESIP Lab with support from the National Aeronautics and Space Administration (NASA), National Oceanic and Atmospheric Administration (NOAA), and the United States Geologic Survey (USGS). James Holmquist was funded by the Coastal Carbon Research Coordination Network (grant no. DEB-1655622). Natasja van Gestel was funded by the Department of Energy's Biological and Environmental Research (DOE-BER (program DE-SC0010632). Rose Abramoff was funded by the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie (grant no. 834169), and the United States Department of Energy, Office of Science, Office of Biological and Environmental Research. Oak Ridge National Laboratory is managed by UT-Battelle, LLC, for the United States Department of Energy (contract DE-AC05-00OR22725). | en |
dc.description.sponsorship | National Aeronautics and Space Administration (NASA); National Oceanic and Atmospheric Administration (NOAA); United States Geologic Survey (USGS); Coastal Carbon Research Coordination Network [DEB-1655622]; Department of Energy's Biological and Environmental Research (DOE-BER) [DE-SC0010632]; European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie [834169]; United States Department of Energy, Office of Science, Office of Biological and Environmental Research; United States Department of Energy [DE-AC05-00OR22725] | en |
dc.description.version | Published version | en |
dc.format.mimetype | application/pdf | en |
dc.identifier.doi | https://doi.org/10.5194/bg-19-3505-2022 | en |
dc.identifier.eissn | 1726-4189 | en |
dc.identifier.issn | 1726-4170 | en |
dc.identifier.issue | 14 | en |
dc.identifier.uri | http://hdl.handle.net/10919/112271 | en |
dc.identifier.volume | 19 | en |
dc.language.iso | en | en |
dc.publisher | Copernicus | en |
dc.rights | Creative Commons Attribution 4.0 International | en |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en |
dc.title | Reviews and syntheses: The promise of big diverse soil data, moving current practices towards future potential | en |
dc.title.serial | Biogeosciences | en |
dc.type | Article - Refereed | en |
dc.type.dcmitype | Text | en |
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