Exploring Library Loan Data for Modelling the Reading Culture: Project LibDat

A4 Konferenspublikationer

Interna författare/redaktörer

Publikationens författare: Mats Neovius, Kati Launis, Olli Nurmi
Redaktörer: Eetu Mäkelä, Mikko Tolonen, Jouni Tuominen
Publiceringsår: 2018
Förläggare: CEUR Workshop Proceedings
Moderpublikationens namn: Proceedings of the Digital Humanities in the Nordic Countries 3rd Conference
Volym: 2084
Artikelns första sida, sidnummer: 386
Artikelns sista sida, sidnummer: 393
ISSN: 1613-0073


Reading is evidently a part of the cultural heritage. With respect to
nourishing this, Finland is exceptional in the sense that it has a
unique library system, used regularly by 80% of the population. The
Finnish library system is publicly funded and free-of-charge. On this,
the consortium “LibDat: Towards a More Advanced Loaning and Reading
Culture and its Information Service” (2017–2021, Academy of Finland)
sets out to explore the loaning and reading culture and its information
service to the end that this project’s results would help officials to
elaborate upon Finnish public library services. The project, as well as
the data-analysis, has just started, so the paper contains more
hypotheses than final results. The project is part of the constantly
growing field of Digital Humanities, and its most important scientific
benefit is to show how large “born digital“ material, new computational
methods and literary-sociological research questions can be integrated
into the study of contemporary literary culture. The project’s
collaborator, Vantaa City Library, has collected daily loan data since
July 27, 2016. This loan data is objective, crisp, and big. In this
position paper, the main contribution is a discussion on the limitations
that the data poses and the literary questions that may be explored by
computational means. For this, we describe the data structure of a loan
event and outline the dimensions of how to interpret the data.

Senast uppdaterad 2020-23-09 vid 05:51