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Background: Norwegian public health nurses prevent diseases and promote health in children and young people aged 0–20 and their families. Public health nursing programs prepare students for their practical role and provide relevant theoretical knowledge. Objectives: To gain knowledge of the literature in the Norwegian public health nursing curricula, and to examine further the nursing base in these curricula. Design: An explorative and descriptive design was chosen. Sample: Reading lists based on syllabus documents from the 10 higher educational institutions in Norway offering programs in public health nursing. Measurements: A summative content analysis and a categorization of content from reading lists were performed. Results: Numerical information on the content and categorization of reading lists shows that social science and humanities literature dominates, followed by psychology and medicine. Nursing texts, theories and philosophy comprise only a minor part of the curricula. Conclusion: The paper provides valuable data on the theoretical focus in Norwegian public health nursing and raises important questions about the paucity of nursing texts in the curriculum. The imbalance in reading lists in Norway should be studied further and similar studies conducted in other countries to encourage reflection on the theoretical content of public health nursing education globally. [ABSTRACT FROM AUTHOR]

The emergence of large multi‐institutional digital libraries has opened the door to aggregate‐level examinations of the published word. Such large‐scale analysis offers a new way to pursue traditional problems in the humanities and social sciences, using digital methods to ask routine questions of large corpora. However, inquiry into multiple centuries of books is constrained by the burdens of scale, where statistical inference is technically complex and limited by hurdles to access and flexibility. This work examines the role that exploratory data analysis and visualization tools may play in understanding large bibliographic datasets. We present one such tool, HathiTrust+Bookworm, which allows multifaceted exploration of the multimillion work HathiTrust Digital Library, and center it in the broader space of scholarly tools for exploratory data analysis. [ABSTRACT FROM AUTHOR]