These guidelines provide comprehensive guidance for the provision of cultural heritage datasets for AI research. They present a checklist for the publication of cultural data, emphasise the importance of transparent documentation through datasheets and compliance with the FAIR principles, and refer to practical tools and examples for implementing these. Key aspects of dataset creation such as structuring, curation and quality assurance are presented, as are common repositories and the selection of suitable formats and standards.
| Persistent URI: | https://commons.nfdi4objects.net/resources/95ca33c4-8e83-42d6-9a52-53c562ea6971/ |
| DOI: | 10.5281/zenodo.15878098 |
| License | Creative Commons Attribution 4.0 (CC BY 4.0) |
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| Categories | Recommendation Tutorials |
| Tags | Data analysis Training FAIR |