CGIAR BigData Books, Manuals, and Guides

Permanent URI for this collectionhttps://hdl.handle.net/10568/89423

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    CGIAR’s role in digital extension services
    (Report, 2021-06) Kropff, Wietske; Jiménez, Daniel; Molero, Anabel; Smith, Georgina; Mehrabi, Zia; Megan, Mazelle; Koo, Jawoo; Reynolds, Matthew P.; Ramírez Villegas, Julián Armando; Rupavatharam, Srikant; Etten, Jacob van; Ortíz Crespo, Berta; Burra, Dharani Dhar; Biradar, Chandrashekhar M.; Tinzaara, William; Florey, Carolyn; Manners, Rhys; Gardeazabal Monsalve, Andrea; Pypers, Pieter; Leyte, James Elwyn D.; Palao, Leo K.; Saito, Kazuki; Davis, Kristin E.
    CGIAR’s digital extension services bridge the gap between the development and the adoption of new climate change adaptation strategies. These services include new ways to disperse information on rainfed systems of agriculture, nutrition, pest control, new crop varieties, crop management practices, and more.
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    AgroFIMS v.2.0 - User manual.
    (Manual, 2020) Aubert, Céline; Benites Alfaro, Omar Eduardo; Peréz, Ivan; Laporte, Marie-Angélique; Devare, Medha
    This documentation provides instructions to help you get familiarized with the Agronomy Field Information Management System (AgroFIMS) and to produce a fieldbook that you can use to collect well-described, standards-compliant data in the field. AgroFIMS allows users to create fieldbooks to collect agronomic data. The fieldbook is already tied to a metadata standard (the CG Core Metadata Schema, aligned with the industry standard Dublin Core Metadata Schema and required by CGIAR and many other repositories). The data variables and protocol parameters in AgroFIMS fieldbooks align with semantic standards like the Agronomy Ontology (AgrO). This a priori compliance with data standards facilitates data to be Findable, Accessible, Interoperable, and Reusable (FAIR) at collection, making it easier to interpret and aggregate. Data collection is currently available via the Android-based KDSmart or Field Book applications, and the collected data can be imported back to AgroFIMS for statistical analysis and reports. By mid-2021 you will be able to easily upload this collected data through AgroFIMS to a Dublin Core or CG Core-compliant Dataverse repository. To enable access, exchange, and integration of agronomic data across systems and applications we have made available the Agronomy API or AgrAPI, which is a RESTful web service API specification. The AgrAPI blueprint can be implemented in different programming languages, but is currently implemented in the R statistical programming language, allowing you to analyze your data with the R packages and graphics of your choice.
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    AgroFIMS v.1.0 - User manual
    (Manual, 2019) Aubert, Céline; Benites Alfaro, Omar Eduardo; Peréz, Ivan; Laporte, Marie-Angélique; Juarez, Henry; Devare, Medha
    The Agronomy Field Information Management System (AgroFIMS) has been developed on CGIAR’s HIDAP (Highly Interactive Data Analysis Platform) created by CGIAR’s International Potato Center, CIP. AgroFIMS draws fully on ontologies, particularly the Agronomy Ontology (AgrO)1. It consists of modules that represent the typical cycle of operations in agronomic trial management (seeding, weeding, fertilization, harvest, and more) and enables the creation of data collection sheets using the same ontology-based set of variables, terminology, units and protocols. AgroFIMS therefore enables a priori harmonization with metadata and data interoperability standards and adherence to the FAIR Data Principles essential for data reuse and increasingly, for compliance with funder mandates - without any extra work for researchers. AgroFIMS is therefore of value to anyone (scientist, researcher, agronomist, etc.) who wishes to easily design a standards-compliant agronomic research fieldbook following the FAIR Data Principles. AgroFIMS also allows users to collect data electronically in the field, thereby reducing errors. Currently this is restricted to the KDSmart Android platform, but we expect to enable this capability with other platforms such as the Open Data Kit (ODK) and Field Book in v.2.0. Once data is collected using KDSmart, the data can be uploaded back to AgroFIMS for data validation, statistical analysis, and the generation of statistical analysis reports. V.2.0 will allow easy upload of the data from AgroFIMS to an institutional or compliant repository of the user’s choice.