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@RYFoR

Rincon-Yanez FAIR Open Research

Open and FAIR-aligned AI, semantic tools, and research infrastructure by Diego Rincon-Yanez, supporting transparency, reuse, and scientific collaboration.
README.md

👋 Welcome to RYFoR — Rincon-Yanez FAIR Open Research an open space of scientific code, data, and tools curated by Diego Rincon-Yanez. It serves as a workspace to publish reusable, FAIR-aligned artifacts developed across projects in AI, semantic technologies, and open data infrastructure. The goal is to ensure transparency, reusability, and long-term value in research software and datasets.

🧭 Guiding Principles

  • FAIR (Findable, Accessible, Interoperable, Reusable)
  • Open Science and transparent methods
  • Modularity and scientific reproducibility
  • Semantic-first knowledge engineering

Open, FAIR-aligned AI and semantic infrastructure tools by Diego Rincon-Yanez

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  1. dataset-template dataset-template Public template

    A reusable, FAIR-aligned dataset template designed for interdisciplinary scientific datasets. Includes metadata standards, licensing, documentation guides, and FAIR statement scaffolds.

    Jupyter Notebook

  2. ontology-template ontology-template Public template

    A reusable ontology template for building FAIR and Linked Open Data models. It supports RDF, OWL, and RDFS standards, integrates SKOS, FOAF, and domain vocabularies, and promotes semantic interoper…

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