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The purpose of this paper is to investigate how Swiss public libraries are experiencing a normative revolution connected to new cataloging standards, such as RDA and the FRBRization of catalogs.

Thanks to semi-structured interviews, the paper analyzes the current positioning of Swiss public libraries on the “bibliographic transition” issue by using a case study of the network of municipal libraries in Geneva.

In Switzerland, the federal and multi-linguistic structure of the library networks increases the organizational obstacles to the adoption of new cataloging principles and formats. At the local level, the Swiss municipal libraries have to cope with this complexity to transform their structures and continue to offer competitive and effective services to their users.

The paper proposes six scenarios of technology watershed for the analyzed case study and their consequences for cataloging standards and rules.

The paper shows how the adoption of technological and conceptual innovations has to be done in the face of real organizational and administrative constraints, especially in the case of public lending libraries.

The paper analyzes at the empirical and theoretical levels how, especially in Switzerland, the variety of governance levels and linguistic areas have made strategizing more complex for public lending libraries.

The purpose of this paper is to study what extent readers’ socio-demographic characteristics, literary preferences and search behavior predict success in fiction search in library catalogs.

In total, 80 readers searched for interesting novels in four differing search tasks. Their search actions were recorded with a Morae Recorder. Pre- and post-questionnaires elicited information about their background, literary preferences and search experience. Readers’ literary preferences were grouped into four orientations by a factor analysis. Linear regression analysis was applied for predicting search success as measured by books’ interest scores.

Most literary orientations contributed to search success, but in differing search tasks. The role of result examination was greater compared to querying in contributing search success almost in each task. The proportion of variance explained in books’ interest scores varied between 5 (open-ended browsing) and 50 percent (analogy search).

The distribution of participants was biased toward females, and the results are aggregated within search session, both reducing the variation of the phenomenon observed.

This study is one of the first to explore how readers’ literary preferences and searching are associated with finding interesting novels, i.e. search success, in library catalogs. The results expand and support the findings in Mikkonen and Vakkari (2017) concerning associations between reader characteristics and fiction search success.

This study aims to provide a systematic and complete knowledge map for use by researchers working in the field of research data. Additionally, the aim is to help them quickly understand the authors' collaboration characteristics, institutional collaboration characteristics, trending research topics, evolutionary trends and research frontiers of scholars from the perspective of library informatics.

The authors adopt the bibliometric method, and with the help of bibliometric analysis software CiteSpace and VOSviewer, quantitatively analyze the retrieved literature data. The analysis results are presented in the form of tables and visualization maps in this paper.

The research results from this study show that collaboration between scholars and institutions is weak. It also identified the current hotspots in the field of research data, these being: data literacy education, research data sharing, data integration management and joint library cataloguing and data research support services, among others. The important dimensions to consider for future research are the library's participation in a trans-organizational and trans-stage integration of research data, functional improvement of a research data sharing platform, practice of data literacy education methods and models, and improvement of research data service quality.

Previous literature reviews on research data are qualitative studies, while few are quantitative studies. Therefore, this paper uses quantitative research methods, such as bibliometrics, data mining and knowledge map, to reveal the research progress and trend systematically and intuitively on the research data topic based on published literature, and to provide a reference for the further study of this topic in the future.