2017
DOI: 10.12688/f1000research.11179.2
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Improving agricultural knowledge management: The AgTrials experience

Abstract: Opportunities to use data and information to address challenges Background: in international agricultural research and development are expanding rapidly. The use of agricultural trial and evaluation data has enormous potential to improve crops and management practices. However, for a number of reasons, this potential has yet to be realized. This paper reports on the experience of the initiative, an effort to build an online database of agricultural trials AgTrials applying principles of interoperability and op… Show more

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Cited by 6 publications
(9 citation statements)
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“…In cases when data are available, data integration sometimes encounters problems due to lack of standardization in terms of syntax, semantics and structure. Crop variety trial datasets are often very heterogeneous in terms of quantity, quality, types and formats (Hyman et al 2017;Leonelli et al 2017). Individual trial designs and observational methods vary according to the specific purpose of trials (Section 2).…”
Section: Main Barriers For Data Availability and Integrationmentioning
confidence: 99%
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“…In cases when data are available, data integration sometimes encounters problems due to lack of standardization in terms of syntax, semantics and structure. Crop variety trial datasets are often very heterogeneous in terms of quantity, quality, types and formats (Hyman et al 2017;Leonelli et al 2017). Individual trial designs and observational methods vary according to the specific purpose of trials (Section 2).…”
Section: Main Barriers For Data Availability and Integrationmentioning
confidence: 99%
“…Global open data and sharing initiatives aim to facilitate data accessibility, allowing the generation of new knowledge (Wilkinson et al 2016). With valuable contributions from diverse partner organizations, CGIAR centres have been developing information systems and platforms, aiming to integrate heterogenous data sources to support crop improvement research (McLaren et al 2005;Hyman et al 2017). Examples of this type of systems are the International Crop Information System (ICIS) and its derivatives, the International Rice Information System (IRIS) and the International Maize Information System (McLaren et al 2005;Shrestha et al 2010).…”
Section: Efforts To Overcome Data Management Problemsmentioning
confidence: 99%
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“…The project team administered a survey in August 2016 to evaluate the perspective of the AgTrials user base (survey results available from https://en.surveymonkey.net/results/SM-YLGDFPQG/) and survey data accompanies this article ( Dataset 1; Hyman et al , 2017). As an incentive to participate in the survey, users were offered the possibility to enter a draw for a smartphone, an incentive reflected in the 44% response rate of users who received an invitation.…”
Section: Methodsmentioning
confidence: 99%