Technology

Hierarchical Taxonomy of Psychopathology

"Objectives of the Hierarchical Taxonomy of Psychopathology (HiTOP) are to advance the classification of psychopathology to maximize its usefulness for research and clinical practice. The HiTOP aims to address limitations of traditional nosologies, such as the DSM-5 and ICD-10, including arbitrary boundaries between psychopathology and normality, often unclear boundaries between disorders, frequent disorder co-occurrence, heterogeneity within disorders, and diagnostic instability.

Minimum Information for A Phylogenetic Analysis

"The MIAPA ontology is intended to be an application ontology for the purpose of semantic annotation of phylogenetic data according to the requirements and recommendations of the Minimum Information for A Phylogenetic Analysis (MIAPA) metadata reporting standard. The ontology leverages (imports) primarily from the CDAO (Comparative Data Analysis Ontology), PROV (W3C Provenance Ontology), and SWO (Software Ontology, which includes the EDAM ontologies) ontologies.

Drug Interaction and Evidence Ontology

"A new foundational representation of potential drug-drug interactions
(PDDIs) that covers the material entities and processes in the domain
of discourse for PDDI evidence and knowledge claims. The
representation will enable the integration of drug interaction
mechanisms, effects, risk factors, severity, and management options
with the chemical and pharmacological properties (e.g., chemical
structure, function, pharmacokinetic and pharmacodynamic properties)
of the interacting drugs."

eNanoMapper

"The eNanoMapper project (www.enanomapper.net) is creating a pan-European computational infrastructure for toxicological data management for ENMs, based on semantic web standards and ontologies. > This ontology is an application ontology targeting the full domain of nanomaterial safety assessment. It re-uses several other ontologies including the NPO, CHEMINF, ChEBI, and ENVO."

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. (...)

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