Animal Trait Ontology for Livestock
"ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL).
"ATOL (Animal Trait Ontology for Livestock) is an ontology of characteristics defining phenotypes of livestock in their environment (EOL).
"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.
The Swedish Geotechnical Institute (SGI) is an expert agency that works for a safe, efficient and sustainable development and sustainable use of land and natural resources.
"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."
"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. (...)
"In the COSMIN taxonomy three quality domains are distinguished, i.e. reliability, validity, and responsiveness. Each domain contains one or more measurement properties.
"Fast-changing markets demand rapid development of new products and processes. Thousands of tools and methods are available to help innovators discover what users want and how to deliver on their expectations. The challenge is to figure out which ones to use when.
"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).
"The ADREP taxonomy is a set of definitions and descriptions used during the gathering and reporting of accident/incident data to ICAO."
"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.'
