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Discusses the emergence of general audience digital libraries (GADLs), a context that represents a hybrid of both traditional information retrieval, using primarily bibliographic resources provided by database vendors, and popular information retrieval such as public search systems on the Web. Reports findings of a study investigating end-user searching and response to a GADL. (Author/LRW)

Describes a study that compared a hypertext-based bibliographic retrieval system with a traditional Boolean-based system. Results, conducted with novice and experienced searchers, revealed that the Boolean system performed better for tasks with a large number of relevant items, and that searcher experience level did not play a significant role. (Author/LRW)

Outlines the file structure requirements for a microcomputer-based information retrieval system using FoxPro, a relational database management system (DBMS). Issues relating to the design and implementation of such systems are discussed, and two possible designs are examined in terms of space economy and practicality of implementation. (15 references) (LRW)

Frontiers in Research Metrics and Analytics (FRMA) is an open-access journal that was launched in 2016. Its mission is to provide a platform for scholars to learn, evaluate, and improve research and scholarship in various disciplines. The journal aims to advance meta-knowledge of research and innovation and promote new ways of conducting high-quality research. FRMA consists of six sections that cover topics such as assessment, evaluation, scholarly communication, and strategic management of research and innovation. The journal has published 369 articles so far and has been cited by other journals in related fields. The article provides an overview of the intellectual neighborhood of FRMA and highlights exemplary works published in the journal. [Extracted from the article]

Data citation, where products of research such as data sets, software, and tissue cultures are shared and acknowledged, is becoming more common in the era of Open Science. Currently, the practice of formal data citation—where data references are included alongside bibliographic references in the reference section of a publication—is uncommon. We examine the prevalence of data citation, documenting data sharing and reuse, in a sample of full text articles from the biological/biomedical sciences, the fields with the most public data sets available documented by the Data Citation Index (DCI). We develop a method that combines automated text extraction with human assessment for revealing candidate occurrences of data sharing and reuse by using terms that are most likely to indicate their occurrence. The analysis reveals that informal data citation in the main text of articles is far more common than formal data citations in the references of articles. As a result, data sharers do not receive documented credit for their data contributions in a similar way as authors do for their research articles because informal data citations are not recorded in sources such as the DCI. Ongoing challenges for the study of data citation are also outlined. [ABSTRACT FROM AUTHOR]