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This vocabulary allows multi-dimensional data, such as statistics, to be published in RDF. It is based on the core information model from SDMX (and thus also DDI).

A concept scheme that defines the types of relationships between a learning resource and a node in an educational framework.

BioCompute is shorthand for the IEEE 2791-2020 standard for Bioinformatics Analyses Generated by High-Throughput Sequencing (HTS) to facilitate communication. This pipeline documentation approach has been adopted by a few FDA centers. The goal is to ease the communication burdens between research centers, organizations, and industries. This web portal allows users to build a BioCompute Objects through the interface in a human and machine readable format.

An ontology of processes triggered by homeostatic imbalance, with a focus on COVID-19 infectious processes.

An educational ontology for personalised recommendation learning systems that is based on learning path and user profile. It represents the key components for a personalised learning system based on our requirement analysis.

Web tool which allows users to upload their own data and easily create Principal Component Analysis (PCA) plots and heatmaps. Data can be uploaded as a file or by copy-pasteing it to the text box.

This ontology defines a taxonomy of software functions based on the work of the NSF-funded EarthCube Resource Registry working group. The functions are generally organized by their role in the research process.

This mini-ontology contains classes and instances for each version of the licenses that are commonly used in software projects, particularly open source software projects. The URI's for each are the canonical URI's for that license (where they exist).

An OWL 2 DL ontology developed for creating sets, bags and lists of resources, and for inferring collection properties even in the presence of incomplete information.

TogoID is an ID conversion service implementing unique features with an intuitive web interface and an API for programmatic access. TogoID supports datasets from various biological categories such as gene, protein, chemical compound, pathway, disease, etc. TogoID users can perform exploratory multistep conversions to find a path among IDs. To guide the interpretation of biological meanings in the conversions, we crafted an ontology that defines the semantics of the dataset relations. (from https://togoid.dbcls.jp/)

The Shape Expressions (ShEx) language describes RDF nodes and graph structures. A node constraint describes an RDF node (IRI, blank node or literal) and a shape describes the triples involving nodes in an RDF graph. These descriptions identify predicates and their associated cardinalities and datatypes. ShEx shapes can be used to communicate data structures associated with some process or interface, generate or validate data, or drive user interfaces.

LogiCO contains the core concepts and properties used in the logistics domain, and mappings (as annotations) to UN/EDIFACTS Data elements.