Resource Description Framework
Developed in Worldwide
Created in 2011
How to cite this record FAIRsharing.org: RDF; Resource Description Framework; DOI: https://doi.org/10.25504/FAIRsharing.p77ph9; Last edited: Nov. 23, 2018, 11:27 a.m.; Last accessed: Dec 14 2018 8:18 a.m.
Record updated: Sept. 2, 2018, 11:04 a.m. by The FAIRsharing Team.
No XSD schemas defined
Conditions of Use
No publications available
No guidelines defined
Models and Formats
No identifier schema standards defined
The UniProt Knowledgebase (UniProtKB) is the central hub for the collection of functional information on proteins, with accurate, consistent and rich annotation. In addition to capturing the core data mandatory for each UniProtKB entry (mainly, the amino acid sequence, protein name or description, taxonomic data and citation information), as much annotation information as possible is added. This includes widely accepted biological ontologies, classifications and cross-references, and clear indications of the quality of annotation in the form of evidence attribution of experimental and computational data. The UniProt Knowledgebase consists of two sections: a reviewed section containing manually-annotated records with information extracted from literature and curator-evaluated computational analysis (aka "UniProtKB/Swiss-Prot"), and an unreviewed section with computationally analyzed records that await full manual annotation (aka "UniProtKB/TrEMBL").
RegenBase is a knowledge base of SCI biology. RegenBase integrates curated literature-sourced facts and experimental details from publications, raw assay data profiling the effect of compounds on enzyme activity and cell growth, and structured SCI domain knowledge in the form of the first ontology for SCI, using Semantic Web representation languages and frameworks. RegenBase enables researchers to organize and interrogate experimental data generated by spinal cord injury (SCI) research, with the ultimate goal of translating SCI experimental findings in model organisms into human therapies.
data.eNanoMapper.net is a public database hosting nanomaterials characterization data and biological and toxicological information. The database provides various possibilities to search and explore information, and to download data in various standard formats. The database supports data upload through configurable Excel templates.
BioPortal is a Web portal that provides access to 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 has a service-oriented architecture; the NCBO Web services provide the functionality found in BioPortal and these Web services can be incorporated into other software applications to access and use ontology content. BioPortal groups ontologies by domain to ease finding relevant ontologies and allows users to browse, search and visualize the content of ontologies. BioPortal also provides value-added features like ontology recommendation, text annotation, ontology mapping, and a reference index to resources like PubMed.
NBDC RDF Portal
The NBDC RDF Portal provides a collection of life science datasets in RDF (Resource Description Framework). The portal aims to accelerate integrative utilization of the heterogeneous datasets deposited by various research institutions and groups. In this portal, each dataset comes with a summary, downloadable files and a SPARQL endpoint.
Free knowledge database project hosted by Wikimedia and edited by volunteers.
A linked data server designed for ontologies. Ontobee is aimed to facilitate ontology data sharing, visualization, query, integration, and analysis. Ontobee dynamically dereferences and presents individual ontology term URIs to (i) HTML web pages for user-friendly web browsing and navigation, and to (ii) RDF source code for Semantic Web applications. Ontobee is the default linked data server for most OBO Foundry library ontologies. Ontobee has also been used for many non-OBO ontologies.
Xenobiotics Metabolism Database
XMetDB is an open access and open source database and web interface for the submission and retrieval of experimental metabolite data for drugs and other xenobiotics. It will also feature an open API for access to the database.
The AgroPortal project reuses the biomedical domain’s semantic tools and insights to serve agronomy, but also food, plant, agriculture and biodiversity sciences. We offer a portal that features ontology hosting, search, versioning, visualization, comment, and recommendation; enables semantic annotation; stores and exploits ontology alignments; and enables interoperation with the semantic web. The AgroPortal specifically satisfies requirements of the agronomy community in terms of ontology formats (e.g., SKOS vocabularies and trait dictionaries) and supported features (offering detailed metadata and advanced annotation capabilities). The AgroPortal content is automatically retrieved by FAIRsharing.org (https://fairsharing.org/) and the Agrisemantics Map of Data Standards (http://vest.agrisemantics.org/).
Ag Data Commons
The Ag Data Commons is a data access system maintained by the US Department of Agriculture's (USDA) National Agricultural Library. It uses a customized version of open-source DKAN software, which is compliant with U.S. Project Open Data standards for federal agencies providing access to publicly-funded data. Ag Data Commons holds data files managed directly by NAL and also links to datasets and resources located on other websites. The Ag Data Commons provides access to a wide variety of open data relevant to agricultural research and related domains. These may include subjects such as agronomy, genomics, hydrology, soils, agro-ecosystems, sustainability science, and economic statistics. Data included in the Ag Data Commons is funded in whole or in part by USDA. Our goal is that Ag Data Commons will foster innovative data re-use, integration, and visualization to support bigger, better science and policy.
Agrisemantics Map of Data Standards
The Agrisemantics Map of Data Standards database is a continuation of the VEST Registry started on the FAO AIMS website and includes metadata from the AgroPortal ontology repository. The registry covers all types of vocabularies in any format, ranging from description metadata sets (XML schemas, RDFS schemas, application profiles…) to KOSs of different types (classifications, thesauri, ontologies…). Domain coverage is broad, ranging from food and agricultural data to generic vocabularies (for e.g. bibliographic references) to vocabularies from neighbouring disciplines (e.g. climate). Agrisemantics is conceived as a metadata catalog, providing descriptions and categorization of standards and links to the original website and original serialization of the standard.
TogoVar (NBDC's integrated database of Japanese genomic variation) is a database that has collected and organized genome sequence differences between individuals (variants) in the Japanese population and disease information associated with them. TogoVar provides variant frequencies in the Japanese population that have been aggregated across research projects. Two available datasets, JGA-NGS and JGA-SNP, are obtained by aggregating individual genomic data that have been registered in the NBDC Human Database / Japanese Genotype-phenotype Archive (JGA). In addition, TogoVar integrates information related to genotypes or phenotypes that has been compiled independently in a variety of different databases and provides information for interpreting variants in a one-stop, easy-to-understand manner. TogoVar has been developed as a joint research project of National Bioscience Database Center (NBDC), Japan Science and Technology Agency (JST) and Database Center for Life Science (DBCLS), Joint Support-Center for Data Science Research, Research Organization of Information and Systems (ROIS) .
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