Agronomy Ontology

"AgrO, the Agronomy Ontology, describes agronomic practices, agronomic techniques, and agronomic variables used in agronomic experiments. AgrO is being built by CGIAR using traits identified by agronomists, the ICASA variables, and other existing ontologies such as ENVO, UO, and PATO. Once stable, it is anticipated to provide value to SDGIO. It will complement existing crop, livestock, and fish ontologies to enable harmonized approaches to data collection, facilitating easier data sharing and reuse.

Biomimicry Taxonomy

"The Biomimicry Taxonomy is a classification system developed by the Biomimicry Institute to organize biological content on the website AskNature. The taxonomy categorizes the different ways that organisms and natural systems meet functional challenges into groups of related functions.
Use the taxonomy to help you navigate AskNature or, when beginning a design challenge, as a tool to help you 'think functionally' and identify questions you can 'ask' nature."

NCC MERP Taxonomy of Medication Errors

"This document provides a standard taxonomy of medication errors to be used in combination with systems analysis in recording and tracking of medication errors. It is not intended to assess blame. The document is not all-inclusive, but can be expanded as new issues arise. The purpose of this taxonomy is to provide a standard language and structure of medication error-related data for use in developing databases analyzing medication error reports. (...)

EPOC Taxonomy

"The first EPOC taxonomy of health systems interventions was developed in 2002, and included the following categories: (1) professional interventions; (2) financial interventions; (3) organisational interventions; and (4) regulatory interventions. This taxonomy was extensively revised and updated between 2013 and 2015 to address key gaps and also to bring the EPOC taxonomy into alignment with other taxonomies that were being used to classify health systems interventions in widely used online databases (Lavis 2015).

IAB Tech Lab Content Taxonomy

"Contextual taxonomy was developed in consultation with taxonomy experts from academia, ad measurement companies, and members of the IAB Networks & Exchanges Committee. This taxonomy defines contextual content categories on at least three different tiers.
The 'IAB Tech Lab Content Taxonomy' was previously called the 'Quality Assurance Guidelines (QAG) Taxonomy.'