Communities, Harvesting, and CGIF: Building the Research Data Graph at NFDI4Culture

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. It requires data providers to implement the Culture Graph Interchange Format, a subset of schema.org classes and properties, either as embedded metadata, an API, or a SPARQL endpoint 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\u27s SPARQL endpoint. After introducing the infrastructural need, the paper reviews comparable solutions, describes the graph, discusses technical choices, and outlines our engagement within and beyond NFDI4Culture

Culture Graph Interchange Format Specification

For the federated acquisition of data for the Culture Knowledge Graph we propose an easy to use, lightweight interchange format based on schema.org for the harvesting of resources from data collections with key attributes (IRIs, names, dates and terms from controlled vocabularies). The Culture Graph Interchange Format (CGIF) has the added benefit of automatically making the data eligible for Google Dataset Search and to significantly improve the findability of websites and datasets through search engine optimization. This is the data publication (source files, figures, post-use materials) of the CGIF specification. The web version is available at https://nfdi4culture.de/go/E3712Funded by the German Research Foundation (DFG) – 441958017 (NFDI4Culture

From Floppy Disks to 5-Star LOD: FAIR Research Infrastructure for NFDI4Culture

NFDI4Culture is establishing an infrastructure for research data on material and immaterial cultural heritage in the context of the German National Research Data Infrastructure (NFDI) in compliance with the FAIR principles. The NFDI4Culture Knowledge Graph is developed and integrated with the Culture Information Portal to aggregate diverse and isolated data from the culture research landscape and thereby increase the discoverability, interoperability and reusability of cultural heritage data. This paper presents the research data management strategy in the long-term project NFDI4Culture, which combines a CMS and a Knowledge Graph-based infrastructure to enable an intuitive and meaningful interaction with research resources in the cultural heritage domain