IDS-RDM-202019 Foundation Skills for Data Analysis with R
A RDF knowledge graph for food health claims
Bio2RDF defines a set of simple conventions to create RDF(S) compatible Linked Data from a diverse set of heterogeneously formatted sources obtained from multiple data providers. The online version of Bio2RDF is meant to be demonstrative of semantic web technologies, and is not currently kept up to date. It contains ~11 billion triples across 35 datasets. If you want the latest version, you can check out the code and build it yourself!
The Semanticscience Integrated Ontology (SIO) provides a simple, integrated OWL ontology of types and relations for rich description of objects, processes and their attributes.
Repository for Foundation Skills for Data Analysis with R as part of University Library Modules
Educational resources for the bachelor on Global Studies methods track
The Data Science Research Infrastructure (DSRI) is a cluster of servers for Data Science research. It is based on OpenShift (Kubernetes) container orchestration to run researchers experiments.
A Dockerization of the Fairsharing metrics as a module for Data Quality Analysis. The purpose of this project is to provide automation as a stand-alone implementation in order to escalate on more general data quality assessment.
Template and Command Line Interface to orchestrate the deployment of RDF Knowledge Graphs built from heterogeneous data sources
OpenPredict is a Python library and API to train and serve predicted biomedical entities associations (e.g. disease treated by drug). Metadata about runs, models evaluations, features are stored using the ML Schema ontology in a RDF triplestore (Ontotext GraphDB).
This knowledge graph is built by structuring food health claims retrieved from EFSA opinion reports.
Tooling to annotate entities in drug indication using prodigy
This project enables researchers to rapidly create a Personal Scientific Knowledge Graph (PSKG) from structured claims from the scientific literature. Using a web interface, users will be guided to provide essential details about the claims such as their source and evidence. Represented as nanopublications, the claims can be digitally signed and subsequently published into a decentralized network of nanopublications, known as the Knowledge Collaboratory.
A lightweight web browser for SPARQL endpoints.
Carlos Utrilla Guerrero; Pedro V Hernandez
Binosha Weerarathna Arachchi Patabendige