Knowledge Organization (KO) is published by IMR Press from Volume 52 Issue 1 (2025). Previous articles were published by another publisher under the CC-BY licence, and they are hosted by IMR Press on imrpress.com as a courtesy and upon agreement.
1 The Open University – Walton Hall, Milton Keynes MK7 6AA, United Kingdom
Abstract
Digital archives of memory institutions are typically concerned with the cataloguing of artefacts of artistic, historical, and cultural value. However, experiencing cultural heritage requires engaging with the so-called cultural background (historical, social) but also, and possibly more importantly, relating the objects (artefacts, artworks, …) to our own experiences and, eventually, the experiences of others, which cannot be forced into a unique, objective meaning. Recently, new forms of citizen participation in cultural heritage have emerged, producing a wealth of material spanning from visitors’ experiential feedback on exhibitions and cultural artefacts to digitally mediated interactions like those on social media platforms. Citizen curation promotes the adoption of intelligent, extended technologies for cultural heritage engagement that mediate the production, collection, interpretation, and archiving of people’s responses to cultural objects, favouring the emergence of multiple, sometimes conflicting viewpoints and motivating the users and memory institutions to reflect upon them. There are good reasons for institutions to archive people’s responses to cultural objects. Therefore, here we focus on the impact of integrating citizen experiences in cultural heritage archives. As we rely on complex systems to support the management of cultural heritage collections and digitally mediated systems to enable innovative engagement applications, it becomes vital to equip underlying infrastructures with means for monitoring, capturing, and explaining what users do with those systems. By analysing the case studies of the EU-funded SPICE project, we argue that a knowledge organisation system for “data journeys” can help disentangle problems that include distribution, sense-making, ownership, sensitivity, privacy, and rights management.
