standards > model/format > DOI:10.25504/FAIRsharing.v9n3gk
Update in progress: note to all users. FAIRsharing is always available for you to search and discover databases, standards and data policies. However, for producers of these resources who maintain or wish to add new records, please note that editing is disabled until September while we migrate our data to our new, improved system. Read our blog post or get in touch with us for more details.


ready Resource Description Framework Schema

Abbreviation: RDFS


General Information
RDF Schema (RDFS) is the RDF vocabulary description language. RDFS defines classes and properties that may be used to describe classes, properties and other resources.

Homepage https://www.w3.org/TR/rdf-schema/

Countries that developed this resource Worldwide

Created in 1997

Taxonomic range

User-defined Tags





How to cite this record FAIRsharing.org: RDFS; Resource Description Framework Schema; DOI: https://doi.org/10.25504/FAIRsharing.v9n3gk; Last edited: March 12, 2020, 3:43 p.m.; Last accessed: Sep 16 2021 9:53 p.m.


This record is maintained by rafaelrichards

Record updated: March 3, 2020, 7:56 a.m. by The FAIRsharing Team.

Show edit history



Support

General

Additional Information


Tools

    No tools defined


Schemas

No XSD schemas defined


Access / Retrieve Data

Conditions of Use

Applies to: Database software




Publications

No publications available


Related Standards

Reporting Guidelines

No guidelines defined

Terminology Artifacts

No semantic standards defined

Identifier Schemas

No identifier schema standards defined

Metrics

No metrics standards defined


Related Databases (5)
Predictive Networks
Integration, navigation, visualization, and analysis of gene interaction networks. This record has been marked as "Uncertain" because its homepage no longer exists. If you have any information on the current status of this resource, please contact us via the "Ask Question" button at the top of this page, or contact us through any of the methods described in the footer.

DisGeNET: a knowledge base for disease genomics
DisGeNET is a discovery platform containing one of the largest collections available of genes and variants involved in human diseases. DisGeNET integrates data from expert curated repositories, GWAS catalogues, animal models, and the scientific literature, and covers the whole landscape of human diseases. The current version of DisGeNET (v7.0) contains 1,134,942 gene-disease associations (GDAs), between 21,671 genes and 30,170 diseases, disorders, traits, and clinical or abnormal human phenotypes, and 369,554 variant-disease associations (VDAs), between 194,515 variants and 14,155 diseases, traits, and phenotypes. The data are homogeneously annotated with controlled vocabularies and community-driven ontologies. Additionally, several original metrics are provided to assist the prioritization of genotype-phenotype relationships. The information is accessible through a web interface, a Cytoscape App, an RDF SPARQL endpoint, a REST API, and an R package.

BioPortal
BioPortal is a library of biomedical ontologies and terminologies developed in Web Ontology Language (OWL), Resource Description Framework (RDF)(S), Open Biological and Biomedical Ontologies (OBO) format, and Protégé frames and Rich Release Format. BioPortal groups ontologies by domain to aid discoverability and allows users to browse, search and visualize the content of ontologies. BioPortal also provides ontology recommendation, text annotation, ontology mapping, and a reference index to resources like PubMed.

AgroPortal
AgroPortal is an ontology repository for agronomy as well as food, plant, agriculture and biodiversity sciences. It provides ontology hosting, search, versioning, visualization, comment, and recommendation; enables semantic annotation; stores and exploits ontology alignments; and enables interoperation with the semantic web. To align with the needs of the agronomy community, AgroPortal uses SKOS vocabularies and trait dictionaries) and supported features (offering detailed metadata and advanced annotation capabilities).

Data and Service Center for the Humanities
The Data and Service Center for the Humanities (DaSCH) digital repository allows long-term access to qualitative data in the Humanities, and provides data deposition and discovery facilities. DaSCH has been created in accordance with the FAIR principles and various international standards for interoperability. The repository accepts “simple” datasets in form of flat files as well as a project-specific “complex” datasets with data based on project/user-specific data models. Multiple data types are allowed, including qualitative data such as text, images, digital facsimile, sound files, and videos.

Implementing Policies

This record is not implemented by any policy.