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Published February 29, 2024 | Version 1.0.0
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Communities, Harvesting, and CGIF: Building the Research Data Graph at NFDI4Culture

  • 1. Academy of Sciences and Literature Mainz, Germany
  • 2. Karlsruhe Institute of Technology (AIFB), Germany
  • 3. FIZ Karlsruhe - Leibniz Institute for Information Infrastructure, Germany
  • 4. Karlsruhe Institute of Technology
  • 5. FIZ Karlsruhe – Leibniz-Institut für Informationsinfrastruktur GmbH
  • 6. Karlsruher Institut für Technologie


NFDI4Culture provides the Culture Knowledge Graph to facilitate FAIRness in its communities. It provides a lightweight infrastructure that interconnects research data from diverse domains such as architectural studies, art history, musicology, performing arts, and media studies. To allow further exploration of resources across individual knowledge silos, the graph is designed to be compatible with other research areas as well. If data providers have a website but do not use any of the common community standards such as LIDO, they can implement the Culture Graph Interchange Format, a subset of classes and properties, either as embedded metadata or an API that can be harvested, or as an RDF data dump. Connections between resources are established via controlled vocabularies, and ingested data is made available via the Culture Information Portal's SPARQL endpoint. After introducing the infrastructural need, the presentation reviews comparable solutions, describes the graph, discusses technical choices, and outlines our engagement within and beyond NFDI4Culture.


DHd 2024 - Research Data Graph - Slides.pdf

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Conference paper: 10.5281/zenodo.10698301 (DOI)


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