Guidelines for mapping the preferences in gender sensitive product profiles to crop ontology and creating a consumer segment ontology. Version 1.0.

The guidelines were developed to guide scientists, database managers and ontology curators to annotate their product profiles with the ontology the proper social dimensions, documenting trait preferences in a way that it can be interpretable by breeders and food scientists. The development of breedi...

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Main Authors: Arnaud, Elizabeth, Khamila, Sylvhia, Kibooga, Charity, Ndagire, Lilian Yiga, Marimo, Pricilla
Format: Manual
Language:Inglés
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10568/118232
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author Arnaud, Elizabeth
Khamila, Sylvhia
Kibooga, Charity
Ndagire, Lilian Yiga
Marimo, Pricilla
author_browse Arnaud, Elizabeth
Khamila, Sylvhia
Kibooga, Charity
Marimo, Pricilla
Ndagire, Lilian Yiga
author_facet Arnaud, Elizabeth
Khamila, Sylvhia
Kibooga, Charity
Ndagire, Lilian Yiga
Marimo, Pricilla
author_sort Arnaud, Elizabeth
collection Repository of Agricultural Research Outputs (CGSpace)
description The guidelines were developed to guide scientists, database managers and ontology curators to annotate their product profiles with the ontology the proper social dimensions, documenting trait preferences in a way that it can be interpretable by breeders and food scientists. The development of breeding product profiles targeting specific market segments or consumer segments supposes that breeders can access interpretable information about the key preferences of the end users. The translation or interpretation of the collected preferences into traits and variables to make it interpretable and measurable by breeders is not always straightforward. A lot of contextual information needs to be included. The Guidelines were produced for the Research Programme on Roots, tubers and Bananas (RTB) and the RTBFoods project with the support of the CGIAR Gender Platform. Provided examples are taken from the RTB Foods-Alliance Bioversity CIAT report entitled ‘Gendered-food mapping on Matooke in Uganda: Understanding the Drivers of Trait Preferences and the ‘Development of Multi-user RTB Product Profiles’ (Marimo P. et al, 2021) and the RTBFoods ‘Gendered Food Product Profile Template’ (Forsythe et al, 2022), This version will go through further revisions following additional feedback provided by experts.
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spelling CGSpace1182322025-11-05T12:43:30Z Guidelines for mapping the preferences in gender sensitive product profiles to crop ontology and creating a consumer segment ontology. Version 1.0. Arnaud, Elizabeth Khamila, Sylvhia Kibooga, Charity Ndagire, Lilian Yiga Marimo, Pricilla ontology engineering knowledge organization system development agricultural research gender ingeniería de la ontología creación de un sistema de organización del conocimiento investigación agraria The guidelines were developed to guide scientists, database managers and ontology curators to annotate their product profiles with the ontology the proper social dimensions, documenting trait preferences in a way that it can be interpretable by breeders and food scientists. The development of breeding product profiles targeting specific market segments or consumer segments supposes that breeders can access interpretable information about the key preferences of the end users. The translation or interpretation of the collected preferences into traits and variables to make it interpretable and measurable by breeders is not always straightforward. A lot of contextual information needs to be included. The Guidelines were produced for the Research Programme on Roots, tubers and Bananas (RTB) and the RTBFoods project with the support of the CGIAR Gender Platform. Provided examples are taken from the RTB Foods-Alliance Bioversity CIAT report entitled ‘Gendered-food mapping on Matooke in Uganda: Understanding the Drivers of Trait Preferences and the ‘Development of Multi-user RTB Product Profiles’ (Marimo P. et al, 2021) and the RTBFoods ‘Gendered Food Product Profile Template’ (Forsythe et al, 2022), This version will go through further revisions following additional feedback provided by experts. 2022-02 2022-02-23T15:22:31Z 2022-02-23T15:22:31Z Manual https://hdl.handle.net/10568/118232 en Open Access application/pdf Arnaud, E.; Khamila, S.; Kibooga, C.; Ndagire, L.Y.; Marimo, P. (2022) Guidelines for mapping the preferences in gender sensitive product profiles to crop ontology and creating a consumer segment ontology. Version 1.0. 25 p.
spellingShingle ontology engineering
knowledge organization system development
agricultural research
gender
ingeniería de la ontología
creación de un sistema de organización del conocimiento
investigación agraria
Arnaud, Elizabeth
Khamila, Sylvhia
Kibooga, Charity
Ndagire, Lilian Yiga
Marimo, Pricilla
Guidelines for mapping the preferences in gender sensitive product profiles to crop ontology and creating a consumer segment ontology. Version 1.0.
title Guidelines for mapping the preferences in gender sensitive product profiles to crop ontology and creating a consumer segment ontology. Version 1.0.
title_full Guidelines for mapping the preferences in gender sensitive product profiles to crop ontology and creating a consumer segment ontology. Version 1.0.
title_fullStr Guidelines for mapping the preferences in gender sensitive product profiles to crop ontology and creating a consumer segment ontology. Version 1.0.
title_full_unstemmed Guidelines for mapping the preferences in gender sensitive product profiles to crop ontology and creating a consumer segment ontology. Version 1.0.
title_short Guidelines for mapping the preferences in gender sensitive product profiles to crop ontology and creating a consumer segment ontology. Version 1.0.
title_sort guidelines for mapping the preferences in gender sensitive product profiles to crop ontology and creating a consumer segment ontology version 1 0
topic ontology engineering
knowledge organization system development
agricultural research
gender
ingeniería de la ontología
creación de un sistema de organización del conocimiento
investigación agraria
url https://hdl.handle.net/10568/118232
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