A generic data schema for crop experiment data in food security research

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

3 Citations (Scopus)

Abstract

In agricultural research targeted at food security, crop experiments in fields are a crucial source of information for statistical or model based analyses or purely a system description. In these crop experiments or field trials, crop responses are investigated to a change a management or in different climatic or soil conditions, and thus provide an understanding of production potential in different circumstances. Though crucial, these crop experiments are currently poorly available to the crop research community, which proves an obstacle to developments in the domain. The aim of this paper is to propose a generic data schema, Spatial Temporal Attribute Catalogue, that can be used to store data on agricultural systems compiled with many different purposes and scopes. The generic data schema covers aspects of soil, climate, location, crop management and crop variety characteristics. The data schema is developed in a context of different ongoing and past efforts in structuring this crop experiment data, e.g. the AgMIP crop experiment database, the Global Yield Gap Atlas, and the MOCASSIN project on winterkill. Future developments on the data schema include assessing the possibilities to broaden it to different domains (i.e. socio-economic, ecology, and animal sciences) and the use of semantic technologies for storage and availability.
Original languageEnglish
Title of host publicationProceedings of the sixth biannial meeting of the International Environmental Modelling and Software Society
EditorsR. Seppelt, A.A. Voinov, S. Lange, D. Bankamp
Place of PublicationLeipzig
Pages2447-2454
Publication statusPublished - 2012
EventSixth biannial meeting of the International Environmental Modelling and Software Society, Leipzig, Germany -
Duration: 1 Jul 20125 Jul 2012

Conference

ConferenceSixth biannial meeting of the International Environmental Modelling and Software Society, Leipzig, Germany
Period1/07/125/07/12

Fingerprint

food security
crops
winterkill
storage technology
spatial data
animal science
crop management
information sources
agricultural research
socioeconomics
soil quality
field experimentation
climate
ecology
cultivars
soil

Cite this

Janssen, S. J. C., van Kraalingen, D. W. G., Boogaard, H. L., de Wit, A. J. W., Franke, G. J., Porter, C., & Athanasiadis, L. N. (2012). A generic data schema for crop experiment data in food security research. In R. Seppelt, A. A. Voinov, S. Lange, & D. Bankamp (Eds.), Proceedings of the sixth biannial meeting of the International Environmental Modelling and Software Society (pp. 2447-2454). Leipzig.
Janssen, S.J.C. ; van Kraalingen, D.W.G. ; Boogaard, H.L. ; de Wit, A.J.W. ; Franke, G.J. ; Porter, C. ; Athanasiadis, L.N. / A generic data schema for crop experiment data in food security research. Proceedings of the sixth biannial meeting of the International Environmental Modelling and Software Society. editor / R. Seppelt ; A.A. Voinov ; S. Lange ; D. Bankamp. Leipzig, 2012. pp. 2447-2454
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abstract = "In agricultural research targeted at food security, crop experiments in fields are a crucial source of information for statistical or model based analyses or purely a system description. In these crop experiments or field trials, crop responses are investigated to a change a management or in different climatic or soil conditions, and thus provide an understanding of production potential in different circumstances. Though crucial, these crop experiments are currently poorly available to the crop research community, which proves an obstacle to developments in the domain. The aim of this paper is to propose a generic data schema, Spatial Temporal Attribute Catalogue, that can be used to store data on agricultural systems compiled with many different purposes and scopes. The generic data schema covers aspects of soil, climate, location, crop management and crop variety characteristics. The data schema is developed in a context of different ongoing and past efforts in structuring this crop experiment data, e.g. the AgMIP crop experiment database, the Global Yield Gap Atlas, and the MOCASSIN project on winterkill. Future developments on the data schema include assessing the possibilities to broaden it to different domains (i.e. socio-economic, ecology, and animal sciences) and the use of semantic technologies for storage and availability.",
author = "S.J.C. Janssen and {van Kraalingen}, D.W.G. and H.L. Boogaard and {de Wit}, A.J.W. and G.J. Franke and C. Porter and L.N. Athanasiadis",
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Janssen, SJC, van Kraalingen, DWG, Boogaard, HL, de Wit, AJW, Franke, GJ, Porter, C & Athanasiadis, LN 2012, A generic data schema for crop experiment data in food security research. in R Seppelt, AA Voinov, S Lange & D Bankamp (eds), Proceedings of the sixth biannial meeting of the International Environmental Modelling and Software Society. Leipzig, pp. 2447-2454, Sixth biannial meeting of the International Environmental Modelling and Software Society, Leipzig, Germany, 1/07/12.

A generic data schema for crop experiment data in food security research. / Janssen, S.J.C.; van Kraalingen, D.W.G.; Boogaard, H.L.; de Wit, A.J.W.; Franke, G.J.; Porter, C.; Athanasiadis, L.N.

Proceedings of the sixth biannial meeting of the International Environmental Modelling and Software Society. ed. / R. Seppelt; A.A. Voinov; S. Lange; D. Bankamp. Leipzig, 2012. p. 2447-2454.

Research output: Chapter in Book/Report/Conference proceedingConference paperAcademicpeer-review

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N2 - In agricultural research targeted at food security, crop experiments in fields are a crucial source of information for statistical or model based analyses or purely a system description. In these crop experiments or field trials, crop responses are investigated to a change a management or in different climatic or soil conditions, and thus provide an understanding of production potential in different circumstances. Though crucial, these crop experiments are currently poorly available to the crop research community, which proves an obstacle to developments in the domain. The aim of this paper is to propose a generic data schema, Spatial Temporal Attribute Catalogue, that can be used to store data on agricultural systems compiled with many different purposes and scopes. The generic data schema covers aspects of soil, climate, location, crop management and crop variety characteristics. The data schema is developed in a context of different ongoing and past efforts in structuring this crop experiment data, e.g. the AgMIP crop experiment database, the Global Yield Gap Atlas, and the MOCASSIN project on winterkill. Future developments on the data schema include assessing the possibilities to broaden it to different domains (i.e. socio-economic, ecology, and animal sciences) and the use of semantic technologies for storage and availability.

AB - In agricultural research targeted at food security, crop experiments in fields are a crucial source of information for statistical or model based analyses or purely a system description. In these crop experiments or field trials, crop responses are investigated to a change a management or in different climatic or soil conditions, and thus provide an understanding of production potential in different circumstances. Though crucial, these crop experiments are currently poorly available to the crop research community, which proves an obstacle to developments in the domain. The aim of this paper is to propose a generic data schema, Spatial Temporal Attribute Catalogue, that can be used to store data on agricultural systems compiled with many different purposes and scopes. The generic data schema covers aspects of soil, climate, location, crop management and crop variety characteristics. The data schema is developed in a context of different ongoing and past efforts in structuring this crop experiment data, e.g. the AgMIP crop experiment database, the Global Yield Gap Atlas, and the MOCASSIN project on winterkill. Future developments on the data schema include assessing the possibilities to broaden it to different domains (i.e. socio-economic, ecology, and animal sciences) and the use of semantic technologies for storage and availability.

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BT - Proceedings of the sixth biannial meeting of the International Environmental Modelling and Software Society

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Janssen SJC, van Kraalingen DWG, Boogaard HL, de Wit AJW, Franke GJ, Porter C et al. A generic data schema for crop experiment data in food security research. In Seppelt R, Voinov AA, Lange S, Bankamp D, editors, Proceedings of the sixth biannial meeting of the International Environmental Modelling and Software Society. Leipzig. 2012. p. 2447-2454