MoDALIA: An Ontology for Teaching and Learning Materials for Research Data Management

Zenodo (CERN European Organization for Nuclear Research)

Abstract

Abstract There is an increasing number of platforms that use knowledge graphs as backend. This allows more efficient linking with other sources of information and making inferences on top of existing data. Ontologies are the backbone of such knowledge graphs. It is highly desired to have a platform for learning material on Research Data Management (RDM) that covers different levels, audience groups and disciplines. Here we present MoDALIA, an OWL ontology, as the backbone of a teaching, learning and personal recommendation platform (DALIA) that answers relevant questions that allow finding suitable learning resources for a given learning objective. The included information covers, among other things, the type of the resource (both its media type, e.g. video, text or code, as well as a classification of the resource, e.g. as tutorial, case study, lecture or book), the topics covered in the resource as well as its target group and requirements concerning the learners’ current level of competency. MoDALIA is compatible with schema.org (schema.org project 2024) and AMB (Pohl et al. (2024)). We used a modular approach to the design of our ontology. Moreover MoDALIA is FAIR. It has a persistent URL, it has a license defined, it links to existing vocabularies in Linked Open Data (LOD), and it is published in a public Git repository and is findable via search engines. MoDALIA also has a standard documentation. The link to our ontology is https://purl.org/ontology/modalia.

Authors 6

1. Abdelmoneim Amer Desouki

   Technische Universität Darmstadt

   Affiliation as printed

   Technical University of Darmstadt

2. Petra Steiner

   Technische Universität Darmstadt

   Affiliation as printed

   Technical University of Darmstadt

3. Marc Fuhrmans

   Technische Universität Darmstadt

   Affiliation as printed

   Technical University of Darmstadt

4. Charles Tapley Hoyt Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University

5. Jonathan D. Geiger

   Academy of Sciences and Literature

   Affiliation as printed

   Akademie der Wissenschaften und der Literatur Mainz

6. Frank Lange Aachen

   RWTH Aachen University

   Affiliation as printed

   RWTH Aachen University