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With the DataPLANT biology ontology (DPBO), DataPLANT provides an intermediate ontology that acts as a broker and bridge between the individual researcher/domain experts and main ontology providers. DPBO enables easy and agile collection of missing vocabulary as well as relationships between terms for (meta)data annotation using DataPLANT’s Swate tool.

Identifiers in the GTN correspond to training materials in various formats (markdown, slides, video). The users can apply learned concepts directly within the framework via galaxy workflows.

The Common Core Ontologies (CCO) comprise twelve ontologies that are designed to represent and integrate taxonomies of generic classes and relations across all domains of interest. CCO is a mid-level extension of Basic Formal Ontology (BFO), an upper-level ontology framework widely used to structure and integrate ontologies in the biomedical domain (Arp, et al., 2015). BFO aims to represent the most generic categories of entity and the most generic types of relations that hold between them, by defining a small number of classes and relations. CCO then extends from BFO in the sense that every class in CCO is asserted to be a subclass of some class in BFO, and that CCO adopts the generic relations defined in BFO (e.g., has_part) (Smith and Grenon, 2004). Accordingly, CCO classes and relations are heavily constrained by the BFO framework, from which it inherits much of its basic semantic relationships.

An ontology that enables characterization of the nature or type of citations, both factually and rhetorically.

This is a code repository for the SIB - Swiss Institute of Bioinformatics CALIPHO group neXtProt project, which is a comprehensive human-centric discovery platform, that offers a integration of and navigation through protein-related data. CALIPHO is an interdisciplinary team which aims to use a variety of methodologies to help uncover the function of uncharacterized human proteins.

BioTools is a registry of databases and software with tools, services, and workflows for biological and biomedical research.

A vocabulary for describing semantic assets, defined as highly reusable metadata (e.g. XML1 schemata, generic data models) and reference data (e.g. code lists, taxonomies, dictionaries, vocabularies).

An ontology to support disciplinary annotation of Arctic Data Center datasets.

An EMMO-based domain ontology for atomistic and electronic modelling.

The academic event ontology, currently still in development and thus unstable, is an OBO compliant reference ontology for describing academic events such as conferences, workshops or seminars and their series. It is being developed as part of the [ConfIDent project](https://projects.tib.eu/confident/) to allow RDF representations of the academic events and series stored and curated in the [ConfIDent platform](https://www.confident-conference.org/index.php/main_page).

The Vibration Spectroscopy Ontology defines technical terms with which research data produced in vibrational spectroscopy experiments can be semantically enriched, made machine readable and FAIR.

The post-translational modifications used in the UniProt knowledgebase (Swiss-Prot and TrEMBL). The definition of the post-translational modifications usage as well as other information is provided in the following format

UniCarb-DB stores structural and mass spectrometry (MS) glycomic data, and has now grown to be one of the largest experimental glycomic MS databases. Identifiers correspond to individual glycan structures and corresponding MS spectra.

Ontology describing a controlled vocabulary for taxon ranks.

The Cancer Imaging Archive (TCIA) is a publicly accessible service that de-identifies and hosts a large archive of medical images of cancer, organized into collections typically grouped by disease type, imaging modality, or research focus. Supporting data such as patient outcomes, treatment details, genomics, and expert image analyses are provided alongside the images when available.

A terminology for the skills necessary to make data FAIR and to keep it FAIR.

The Swiss Personalized Health Network is a national infrastructure initiative with the aim to develop, implement, and validate coordinated data infrastructures in order to make health-relevant data interoperable and shareable for research in Switzerland. The sphn RDF schema builds the foundation for all data exchanges within the sphn by integrating semantic information defined in the [sphn dataset](https://sphn.ch/document/sphn-dataset/).

Ontologies that aim to provide semantic specifications for units of measure, quantity kind, dimensions and data types.