AgroFIMS v.2.0 - User manual.
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 a...
| Autores principales: | , , , , |
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| Formato: | Manual |
| Lenguaje: | Inglés |
| Publicado: |
CGIAR Big Data Platform
2020
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/110884 |
| _version_ | 1855540358885146624 |
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| author | Aubert, Céline Benites Alfaro, Omar Eduardo Peréz, Ivan Laporte, Marie-Angélique Devare, Medha |
| author_browse | Aubert, Céline Benites Alfaro, Omar Eduardo Devare, Medha Laporte, Marie-Angélique Peréz, Ivan |
| author_facet | Aubert, Céline Benites Alfaro, Omar Eduardo Peréz, Ivan Laporte, Marie-Angélique Devare, Medha |
| author_sort | Aubert, Céline |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | 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. |
| format | Manual |
| id | CGSpace110884 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | CGIAR Big Data Platform |
| publisherStr | CGIAR Big Data Platform |
| record_format | dspace |
| spelling | CGSpace1108842025-11-05T12:40:02Z AgroFIMS v.2.0 - User manual. Aubert, Céline Benites Alfaro, Omar Eduardo Peréz, Ivan Laporte, Marie-Angélique Devare, Medha data standards documentation farming systems metadata standard documentación sistemas de explotación agricultura 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. 2020 2021-01-18T10:21:08Z 2021-01-18T10:21:08Z Manual https://hdl.handle.net/10568/110884 en Open Access application/pdf CGIAR Big Data Platform Aubert, C.; Benites-Alfaro, O.E.; Perez, I.; Laporte, M-A.; Devare, M. (2020) AgroFIMS v.2.0 - User manual. CGIAR Big Data Platform. 32 p. |
| spellingShingle | data standards documentation farming systems metadata standard documentación sistemas de explotación agricultura Aubert, Céline Benites Alfaro, Omar Eduardo Peréz, Ivan Laporte, Marie-Angélique Devare, Medha AgroFIMS v.2.0 - User manual. |
| title | AgroFIMS v.2.0 - User manual. |
| title_full | AgroFIMS v.2.0 - User manual. |
| title_fullStr | AgroFIMS v.2.0 - User manual. |
| title_full_unstemmed | AgroFIMS v.2.0 - User manual. |
| title_short | AgroFIMS v.2.0 - User manual. |
| title_sort | agrofims v 2 0 user manual |
| topic | data standards documentation farming systems metadata standard documentación sistemas de explotación agricultura |
| url | https://hdl.handle.net/10568/110884 |
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