European Association for Digital Humanities 2026
15-19 September 2026
Jagiellonian University, Kraków, Poland
Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions on that day or at that location. Please select a single session for detailed view (with abstracts and downloads if available).
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Daily Overview |
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SP5: Curating Culture: Open Data and Infrastructure for Literature and Museums Location: Room 401, al. Mickiewicza 9b Session Chair: Lucija Mandić | |
| Presentation 4 | |
Database of the Czech Literary Awards: From the Proprietary Solution to the FAIRified Dataset Czech Academy of Sciences, Institute of Czech Literature, Czech Republic (Czechia) Literary awards constitute a significant entity within literary communication, functioning as indicators of symbolic capital and professional recognition within the literary field (Bourdieu 1992). As outcomes of collective expert judgement, prizes shape authors’ careers, influence publishing strategies, and affect the reception and visibility of literary works. The so-called ‘Nobel effect’ represents the most widely discussed example of this phenomenon, yet recent scholarship has examined literary awards from a broader range of perspectives, including language, gender, categorisation, and market dynamics. This paper introduces the Database of Czech Literary Awards (CLA), developed within the Czech Literary Bibliography research infrastructure. The database currently records 120 prizes, approximately 1,500 annual instalments, over 4,000 associated individuals, and nearly 3,000 awarded works, thereby providing near-comprehensive coverage of Czech literary prizes. Organised around three core entities — awards, persons, and literary works — the data model (based on an adapted MARC21 authority format) enables the systematic recording of award histories, prize categories, committee memberships, and awarded titles, including distinctions and rankings. Since 2026, the CLA has undergone FAIRification within the national Open Science II project and is being made available in standardised formats, with Linked Open Data representation planned. Its integration into the broader CLB data ecosystem enables interoperability with related knowledge bases and facilitates large-scale analyses of institutional networks, publishing patterns, and the role of literary awards in both historical and contemporary literary communication. | |
