Bibliographical Data Science: from Catalogues to Research Data

0581905 - ÚČL 2024 RIV AT eng O - Others
Vimr, Ondřej - Panušková, Charlotte - Tolonen, M. - Király, P.
Bibliographical Data Science: from Catalogues to Research Data.
2023
R&D Projects: GA MŠMT(CZ) LM2023043
Institutional support: RVO:68378068
Keywords : bibliography * digital collections * Collections as data
OECD category: Specific literatures
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Library catalogues have been identified as a crucial resource for studying different aspects of book production spanning from literature to intellectual history and to informatics. At the same time, using them requires addressing challenges of data quality, completeness, and interpretation. Important aspect of bibliographic data science workflow is that it is imagined as a multilingual and transnational way of approaching large humanities and social science data. This workflow provides a step-by-step guide for researchers eager to use bibliographical data for research. More specifically, it looks into common issues of data acquisition, preprocessing, harmonisation, analysis and validation as well as an array of dissemination options.
Permanent Link: https://hdl.handle.net/11104/0350184