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BIG DATA Ontologies Community of Practice – Work Plan 2019

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Title BIG DATA Ontologies Community of Practice – Work Plan 2019
 
Creator CGIAR Platform for Big Data in Agriculture
 
Subject big data
agricultural research
ontology
report
data
interoperability
 
Description Given the multi-disciplinary nature of the CGIAR Big Data For Agriculture, the Ontologyies Community of Practice (CoP) will span the knowledge domains of importance for the platform with the objective of establishing best practices, guidelines in the selection, use and application of semantics for data harmonization at the collect and storage levels, for data interoperability and data discovery following the FAIR principles. In 2019, as discussed during the Convention, the CoP will put in place thematic interest groups reflecting the science domains that the ontologies should address to support integration and interoperability of data ( F.A.I.R) : livestock ontology if the Livestock CoP decides to adopt the idea, a Fish
ontology, Socio-economic ontology, Plant ontologies, Agronomy Ontology, Water Management ontology.
Selection of most used ontologies in agriculture will be performed by the members of the CoP. Guidance to the creation of the working groups will be provided by the CGIAR Ontology Working Group chaired by Bioveristy and IFPRI. The CoP will contribute to the project on 'architecture for decision farming' . Big Data
Objectives included in MARLO will be mapped to SDG Interface Ontology to support the monitoring framework. Communication activities will be strengthened. Ontology sessions will be organized during the 2019 Convention to communicate about the prodcuts, progress on the activities and plan priorites for the following year.Communication products will be produced.
 
Date 2019
2019-06-13T21:09:20Z
2019-06-13T21:09:20Z
 
Type Internal Document
 
Identifier BIG DATA (2019). BIG DATA Ontologies Community of Practice – Work Plan. CGIAR Platform for Big Data in Agriculture, 30 p.
https://hdl.handle.net/10568/101569
 
Language en
 
Rights CC-BY-4.0
Open Access
 
Format 30 p.
application/pdf
 
Publisher CGIAR Platform for Big Data in Agriculture