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Moving towards Linked Open Data in Libraries: A case study from the National Library of Sweden and the National Library of Finland
Högskolan i Borås, Akademin för bibliotek, information, pedagogik och IT.
2024 (Engelska)Självständigt arbete på avancerad nivå (masterexamen), 20 poäng / 30 hpStudentuppsats (Examensarbete)
Abstract [en]

Linked Open Data (LOD) gives libraries the opportunity to open up their data to the web, making it discoverable and reusable. To do this, libraries need to transform their vast amounts of existing data into LOD and move towards creating LOD. Unfortunately, there are many challenges, such as a lack of expertise and mapping problems between formats. This can lead to a feeling of being overwhelmed, which in turn can lead to libraries sticking to traditional ways of cataloguing and presenting their data. It is therefore important that libraries have access to detailed project presentations. Therefore, this master’s thesis presents the reasons for adoption, the steps taken, the challenges encountered, and the solutions used for the two cases of the National Library of Sweden and the National Library of Finland. For this case study, a content analysis of existing documents, such as recordings, articles, and reports, was carried out. In addition, interviews were conducted with people who were involved in the projects to gain further insight. The information found was then presented and analysed using the Diffusion of Innovation theory. In a further step, the two cases and other project reports were compared in order to analyse which (organisational) factors may have led to the early adoption by the National Library of Sweden and whether additional challenges were met due to the early adoption. This may also provide some insight into the challenges that may arise in the early adoption of innovations in general.

Ort, förlag, år, upplaga, sidor
2024.
Nyckelord [en]
Linked Open Data, libraries, case study, content analysis, Diffusion of Innovation
Nationell ämneskategori
Biblioteks- och informationsvetenskap
Identifikatorer
URN: urn:nbn:se:hb:diva-32932OAI: oai:DiVA.org:hb-32932DiVA, id: diva2:1921437
Tillgänglig från: 2024-12-30 Skapad: 2024-12-16 Senast uppdaterad: 2025-09-24Bibliografiskt granskad

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Akademin för bibliotek, information, pedagogik och IT
Biblioteks- och informationsvetenskap

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