Welcome!

Community members gathered at the 2018 PhenoHarmonIS workshop, the biennial event hosted by the Ontologies Community of Practice.

The Ontologies Community of Practice is led by Bioversity International and has been launched as a part of the CGIAR Platform for Big Data in Agriculture.

Given the multi-disciplinary nature of the CGIAR Big Data Platform for Agriculture , the CoP Ontologies will span the knowledge domains that are relevant to the Platform with the objective of establishing best practices, and guidelines in the selection of ontologies of reference.

It will also focus on the use and application of semantics for data harmonization at the levels of collection and storage, and for data interoperability and data discovery following the FAIR principles. This space can be used as a discussion area, share and request relevant information and contribute towards building the community as a whole.

Plant Phenotypes Ontologies

The Plant Phenotypes Ontologies WG develops and maintains the community-built Crop Ontology (CO) compiling traits and variables per crop species. CO fosters the standardization of data including data recorded on phenotyping platforms, collected during food processing, generated from consumers’ surveys and used to describe ecological interventions.

This work enriches the species-agnostic reference ontologies of the Planteome project: 

• Plant Ontology
• Plant Trait Ontology
• Ontology of Plant Stress

Bioversity International leads the working group in collaboration with CGIAR centers, Boyce Thompson Institute, members of ELIXIR-EXCELERATE, Phenome Projects, and the Jaiswal Lab of the Oregon State University.

Fish Ontology

The Fish Ontology Working Group aims to enable easy aggregation and analysis of data. This will be done by describing the fisheries terminologies that enhance data quality, thus ensuring that fisheries-related datasets can be integrated and used in more efficient ways.

The Fish Ontology Working Group was formed in April 2019 and is currently led by WorldFish with the support of Bioversity International.

Agronomy Ontology

AgrO, the Agronomy Ontology, provides semantically described agronomic terms to facilitate the standards-annotated collection, storage and use of agronomic data, enabling easy aggregation and analysis. AgrO is being built using traits identified by agronomists, the ICASA variables, and other existing ontologies such as ENVO, UO, and PATO. A key use case for AgrO is the Agronomy Field Information Management System (AgroFIMS) that enables digital collection of agronomic data that is semantically described a priori with agronomic terms from AgrO. This effort involves multiple centers and is lead by IFPRI and Bioversity International.

Socio-Economic Ontology (SEONT)

A socio-economic ontology of controlled vocabularies, classifications, and concordances that allow standardization of key indicators. The key is that SEONT is a ‘living’ ontology, since the high variety of socio-economic data implies that it will need to evolve continuously.

The ontology has been developed by CGIAR researchers from the International Food Policy Research Institute (IFPRI), Bioversity International, and the International Maize and Wheat Improvement Centre (CIMMYT). The working group on the socio-economic ontology works in close collaboration with the SED CoP led by Gideon Kruseman. The working group is led by Soonho Kim of IFPRI.

Tools

Workshops

• Big Data in Agriculture Convention 2019
• PhenoHarmonIS 2018:
  Documents | Videos
• PhenoHarmonIS 2016
• PhenoHarmonIS 2014
• PhenoHarmonIS 2012
• PhenoHarmonIS 2011