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Dataset Context(ualisation) in Documentation: Best Practices, Recommendations and Open Questions Cover

Dataset Context(ualisation) in Documentation: Best Practices, Recommendations and Open Questions

Open Access
|Jun 2026

Authors

Henk Alkemade

henkalkemade66@gmail.com

EuropeanaTech Community, Europeana Network Association, The Hague, The Netherlands; CARARE, Dublin

Gustavo Candela

gcandela@ua.es

University of Alicante, Alicante

Steven Claeyssens

steven.claeyssens@kb.nl

KB, National Library of the Netherlands, The Hague; Europeana Research Community, Europeana Network Association, The Hague

Selda Eren

selda@hum.ku.dk

Centre for Digital and Computational Humanities, University of Copenhagen

Maria Eskevich

maria.eskevich@huygens.knaw.nl

Huygens Institute, Koninklijke Nederlandse Akademie van Wetenschappen (KNAW), Amsterdam

Nuno Freire

nuno.freire@europeana.eu

Europeana Foundation, The Hague

Antoine Isaac

antoine.isaac@europeana.eu

Europeana Foundation, The Hague

Jörg Lehmann

joerg.lehmann@sbb.spk-berlin.de

Staatsbibliothek zu Berlin – Berlin State Library, Berlin

Giulia Osti

giulia.osti@ucdconnect.ie

University College Dublin

Mari Wigham

mari.wigham@huygens.knaw.nl

Huygens Institute, Koninklijke Nederlandse Akademie van Wetenschappen (KNAW), Amsterdam
DOI: https://doi.org/10.5334/johd.571 | Journal eISSN: 2059-481X
Language: English
Page range: 79 - 79
Submitted on: Apr 18, 2026
Accepted on: May 22, 2026
Published on: Jun 22, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services

© 2026 Henk Alkemade, Gustavo Candela, Steven Claeyssens, Selda Eren, Maria Eskevich, Nuno Freire, Antoine Isaac, Jörg Lehmann, Giulia Osti, Mari Wigham, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.