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The OMOP Common Data Model allows for the systematic analysis of disparate observational databases. The concept behind this approach is to transform data contained within those databases into a common format (data model) as well as a common representation (terminologies, vocabularies, coding schemes), and then perform systematic analyses using a library of standard analytic routines that have been written based on the common format.

OncoMX is a knowledgebase for exploring cancer biomarkers in the context of related cancer and healthy data. This resource is for datasets within OncoMX.

OncoTree is a dynamic and flexible community-driven cancer classification platform encompassing rare and common cancers that provides clinically relevant and appropriately granular cancer classification for clinical decision support systems and oncology research.

OntoCAPE is a large-scale ontology for the domain of Computer Aided Process Engineering (CAPE). Represented in a formal, machine-interpretable ontology language, OntoCAPE captures consensual knowledge of the process engineering domain in a generic way such that it can be reused and shared by groups of people and across software systems. On the basis of OntoCAPE, novel software support for various engineering activities can be developed; possible applications include the systematic management and retrieval of simulation models and design documents, electronic procurement of plant equipment, mathematical modeling, as well as the integration of design data from distributed sources.

The aim of lemon is to provide rich linguistic grounding for ontologies. Rich linguistic grounding includes the representation of morphological and syntactic properties of lexical entries as well as the syntax-semantics interface, i.e. the meaning of these lexical entries with respect to an ontology or vocabulary. [homepage]

Ontology Management Environment (OntoME) is a web-based environment for curating a collaborative ontology based on CIDOC-CRM.

Namespace in the Ontology Management Environment

Profile in the Ontology Management Environment

Project in the Ontology Management Environment

OntoRXN is an ontology for the description of reaction networks as undirected graphs characterized by energies.

OpenAlex is a fully open catalog of the global research system that describes scholarly entities and how those entities are connected to each other.

educational levels

Orientations of Proteins in Realistic Lipid Membranes (OPRLM) is a database for visualizing proteins in realistic lipid membranes. It includes the classification of proteins into types, superfamilies, and families, and also provides information on intracellular localizations of the proteins. Identifiers represent proteins.

The first number is the chapter then the remainder are subsections.

Core Vocabulary defines the OSLC Core RDF vocabulary terms and resources, that have broad applicability across various domains.

OSMO is an ontologization and extension of MODA, a workflow metadata standard that constitutes a mandatory requirement within a number of European calls and projects in the context of materials modelling. OSMO was developed within the Horizon 2020 project VIMMP (Virtual Materials Marketplace) and is part of a larger effort in ontology engineering driven by the European Materials Modelling Council, with the European Materials and Modelling Ontology (EMMO) as its core. (from https://nfdi4cat.org/services/ontologie-sammlung/)

The U.S. Department of Energy (DOE) Office of Scientific and Technical Information (OSTI) is the main metadata archive for permanent storage of registered [DOE DOI products](https://www.osti.gov/pids/doi-services/doe-data-id-service) (datasets, code, articles, patents, multimedia, etc.). When a DOI is minted a unique OSTI identifier for each record [{osti_id}](https://www.osti.gov/api/v1/docs#endpoints-singlerecord) is provided as the suffix in the DOI schema ([{site-specific-prefix}/{user-supplied-doi-infix}/{osti_id}](https://www.osti.gov/pids/doi-services)) and can be alternatively used as the main product identifier endpoint when [searching OSTI.GOV](https://www.osti.gov/search-tools) registry archive (see example below). OSTI.GOV is the primary registry and search tool for all Department of Energy (DOE) funded science, technology, and engineering research and development (R&D) results and the organizational hub for information about the DOE Office of Scientific and Technical Information (OSTI. **Data Product Type Example:** - https://www.osti.gov/biblio/1668761 - https://www.osti.gov/search/semantic:1668761 - https://www.osti.gov/dataexplorer/biblio/dataset/1668761 - https://www.osti.gov/api/v1/records/1668761 - https://doi.org/10.11578/1668761 **Other Core Product Registry Examples:** - Journal Articles: https://www.osti.gov/pages/biblio - Datasets: https://www.osti.gov/dataexplorer/biblio/dataset/ - Software: https://www.osti.gov/doecode/biblio/ - Patents: https://www.osti.gov/doepatents/biblio/ - Multimedia: https://www.osti.gov/sciencecinema/biblio/

Identifier for an entity in open tree of life

Overview of the Web Ontology Language (OWL) which provides an introduction to OWL by informally describing the features of each of the sublanguages.