Focused Tutorial on Capturing, Enriching, Disseminating Research Data Objects
24. bis 25. November 2022
Hybrid: Online & Universität Mannheim
Vortragende Person/Vortragende Personen:
Use Cases from Text+, NFDI4Culture and BERD@NFDI
This cross-disciplinary tutorial on tools and methods provides brief introductions to use cases from NFDI4Culture, Text+ and BERD@NFDI.
Presented use cases address capture, enrichment and dissemination of research data objects. Capture involves the creation of digital surrogates (e.g. with OCR) or the representation of existing artefacts in a digital representation (e.g. transcription). This is followed by the enrichment (e.g. annotation, tagging and association) of research data objects and is summarised with their dissemination, i.e. making them available and sharing them to support collaboration and reuse.
This Focused Tutorial will provide knowledge, methodological and technical expertise in the areas of data, metadata, taxonomies and standards with a view to the FAIR principles, and promotes a cross-disciplinary exchange and networking between the participating consortia.
Capturing Research Data Objects
- “Extracting research data from historical documents with eScriptorium and Python” by Jan Kamlah, Thomas Schmidt and Renat Shigapov
- “Mixing and matching: Combining HTR and manual transcription for heterogeneous collections” by Melanie Seltmann and Stefan Büdenbender
- “Derived text formats and their evaluation” by Keli Du
Enriching Research Data Objects
- “Generic vocabularies for RDM: Use and reuse of TaDiRAH” by Luise Borek and Canan Hastik
- “Editions and Linked Data: Some modes of application” by Philipp Hegel
- “Linked open data management with WissKI” by Mark Fichtner and Robert Nasarek
Disseminating Research Data Objects
- “Wikibase+ Semantic enrichment of media” by Lozana Rossenova
- “Semantic dissemination by Wikibase knowledge graphs” by Renat Shigapov
- “Scholarly Information Extraction for research knowledge graphs” by Stefan Dietze
- *Keynote to be announced