Envisioning the Future of Finnish Library Data with BIBFRAME and RDA

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Date

2025-02-20

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Publisher

International Federation of Library Associations and Institutions (IFLA)

Abstract

The National Library of Finland published our Metadata Vision in 2020. It is a white paper style vision of how metadata is going to develop during this decade in the GLAM sector. It was written to be a start of a conversation with a focus on descriptive metadata. The vision emphasized the importance of identifiers, the use of common authorized metadata repositories, international interoperability, multilingualism, and semantic interoperability. A key message of the vision is that siloed systems are limited by the needs of the data they contain while interoperable systems allow for services tailored to the needs of the users. All of this motivates the development and use of linked data in library context. In 2022 the National Library began their Linked Library Data project aiming for the adaptation of BIBFRAME for the needs of Finnish cataloguing. In essence this meant developing a flavour of BIBFRAME that allows for cataloguing using Official RDA as well as taking into account the characteristics of existing Finnish MARC data and cataloguing conventions. Examples of alterations to regular BIBFRAME include the use of both expressions and works as well as aggregates. Throughout the development special emphasis has been placed on maintaining interoperability with regular BIBFRAME. This presentation provides an overview of how we approached the long-term motivation of moving to linked data as well as specific and concrete examples of our work. We demonstrate our data model through examples of our national discography Viola which is characterized by extensive use of component parts translating into rich aggregates for linked data representation. About the author: Matias Frosterus is an information systems manager at the National Library of Finland (NLF)

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Keywords

Linked data, Linked open data, Bibliographic data, National bibliographies, Authority data

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