Cocoa ontology - A collaborative pathway for FAIR Data
Channel: Ontologies In Agriculture
Date: 28/10/2021

In this webinar Dr Arun Kumar Pratihast and Abidemi Elesho from Wageningen University and Research present the integrated data collection workflow they have developed to make the most of cocoa agronomy datasets.
 
Although cocoa is a global commodity and its production involves millions of smallholder farmers, there is a scarcity of high-quality data on cocoa-forest-livelihood interaction. Due to the lack of appropriate infrastructures, comprehensive standardization and harmonization, most of the experimental datasets ended-up in separate repositories in various formats and often with missing headings and contextual information. Hence, creating barriers in sharing and re-usability of such data and making impossible comprehensive analysis of cocoa agronomy and better decision making.
To bridge the research gap, an integrated data collection workflow based on the FAIR principles, which includes field data acquisition, data curation publication and management, data discovery and search, and visualizations tailored to specific user groups has been developed. This workflow is designed using open-source software ecosystem. A cocoa ontology has been developed to enable standardization and harmonization of cocoa agronomic data for future sharing and collaboration. The workflow is being implemented under CocoaSoils program led by IITA and Wageningen University across 6 countries: Côte d'Ivoire, Ghana, Nigeria, Cameroon, Indonesia and Ecuador.

Speakers: Dr Arun Kumar Pratihast and Abidemi Elesho from Wageningen University and Research

Timeline
00:01:00    Presentation
00:27:40    Questions

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