Name: Maastricht University IDS
Type: Organization
Bio: Institute of Data Science at Maastricht University
Twitter: um_ids
Location: Maastricht, Netherlands
Blog: https://www.maastrichtuniversity.nl/research/institute-data-science
Maastricht University IDS's Projects
Advanced business analytics course materials for the BISS certified data science program
Client for the IDS annotator. Uses hypothes.is API to retrieve annotations.
Documentation page for the annotator project
🔩 Apache Drill
Materials for Applied Research bachelor program
🐙 Argo Workflows: Get stuff done with Kubernetes.
🔊 A Jupyter Notebook to edit the AudioSet ontology
📚 Best practices at the Institute of Data Science at Maastricht University
⚕️ Bio2RDF is an open-source project that uses Semantic Web technologies to build and provide the largest network of Linked Data for the Life Sciences.
Translator Reasoner API for Bio2RDF
This repository is a workplace for Team Onto-GAN in Bio-Hackathon-Mena 2023 in KAUST (7-11 Feb 2023).
🔎 Biosearch for Bio2RDF in Virtuoso triplestore
A proposed specification for how to capture available provenance information for chemical assertions integrated by the BioThings API suite
A short tutorial to build a RDF Knowledge Graph from 2 CSV files using YARRRML mappings
Ditect ontology
This repository contains educational materials for a Masters course on knowledge graphs developed by the Institute of Data Science at Maastricht University
Business Analytics module part of Data Science certification
⚖️ An OWL ontology to define terms from EU company law that are relevant for cross-border mobility of EU companies.
cBioPortal for Cancer Genomics
Conducting different crowdsourcing experiments for annotating lung nodules using point of interest annotation
🌱 A qualitative and computational study using NLP on H2020 projects in the context of climate change
🧑💻 VisualStudio Code server Docker image
🫀 Webapp to explore cohorts metadata for the iCARE4CVD project
🍪🐍 A cookiecutter package to bootstrap python packages
🍪🔮 A cookiecutter template to bootstrap machine learning prediction experiments, and integrate the predictions to a Translator Reasoner API