Abstract
Soils are probably the most critical natural resource in Agriculture, and soils security represents a critical growing global issue. Soils experiments require vast amounts of high-quality data, are very hard to be reproduced, and there are few studies about data provenance of such tests. We present OpenSoils; it shares knowledge about data-centric soils experiments. OpenSoils is a provenance-oriented and lightweight e-infrastructure that collects, stores, describes, curates and, harmonizes various soil datasets.
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References
Koch, A., et al.: Soil security: solving the global soil crisis. Glob. Policy 4(4), 434–441 (2013)
Wilkinson, M.D., et al.: The FAIR guiding principles for scientific data management and stewardship. Sci. Data 3, 160018 (2016)
Körschens, M.: The importance of long-term field experiments for soil science and environmental research – a review. Plant Soil Environ. 52, 1–8 (2006)
Cruz, S.M.S., do Nascimento, J.A.P.: SisGExp: rethinking long-tail agronomic experiments. In: Mattoso, M., Glavic, B. (eds.) IPAW 2016. LNCS, vol. 9672, pp. 214–217. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40593-3_24
Cruz, S.M.S., et al.: Towards an e-infrastructure for open science in soils security. In: XII Proceedings on Brazilian E-Science Workshop (BRESCI), pp. 59–66. SBC, Natal-RN (2018)
Rizzo, G.S.C., Ceddia, M.B., Cruz, S.M.S.: Banco de Dados Pedológico: Primeiros Estudos. In: 5th Proceedings on Reunião Anual de Iniciação Científica (RAIC), pp. 1–2. UFRRJ, Seropédica (2017). (in Portuguese)
Caracciolo, C., et al.: The AGROVOC linked dataset. Seman. Web 4(3), 341–348 (2013)
Acknowledgments
This work was supported in part by the Brazilian agencies FNDE/MEC/SESU, PIBIC/CNPq, Petrobras and CYTED networks BigDSSAgro and SmartLogistcs@IB.
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da Cruz, S.M.S. et al. (2018). Data Provenance in Agriculture. In: Belhajjame, K., Gehani, A., Alper, P. (eds) Provenance and Annotation of Data and Processes. IPAW 2018. Lecture Notes in Computer Science(), vol 11017. Springer, Cham. https://doi.org/10.1007/978-3-319-98379-0_31
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DOI: https://doi.org/10.1007/978-3-319-98379-0_31
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