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Purpose: Predicting highly cited papers can enable an evaluation of the potential of papers and the early detection and determination of academic achievement value. However, most highly cited paper prediction studies consider early citation information, so predicting highly cited papers by publication is challenging. Therefore, the authors propose a method for predicting early highly cited papers based on their own features. Design/methodology/approach: This research analyzed academic papers published in the Journal of the Association for Computing Machinery (ACM) from 2000 to 2013. Five types of features were extracted: paper features, journal features, author features, reference features and semantic features. Subsequently, the authors applied a deep neural network (DNN), support vector machine (SVM), decision tree (DT) and logistic regression (LGR), and they predicted highly cited papers 1–3 years after publication. Findings: Experimental results showed that early highly cited academic papers are predictable when they are first published. The authors' prediction models showed considerable performance. This study further confirmed that the features of references and authors play an important role in predicting early highly cited papers. In addition, the proportion of high-quality journal references has a more significant impact on prediction. Originality/value: Based on the available information at the time of publication, this study proposed an effective early highly cited paper prediction model. This study facilitates the early discovery and realization of the value of scientific and technological achievements. [ABSTRACT FROM AUTHOR]

The study compared the bibliometric parameters of scholarly communications published in COLLNET Journal of Scientometrics & Information Management (CJSIM) and Journal of Scientometric Research (JSR) from 2012 to 2021. Different bibliometric parameters examined in the study are pattern of output during 2012 to 2021, identification of most prolific countries and their citation impact in terms of Citation Per Paper (CPP), i-10 index and Papers not Cited (PnC). Study also identified prolific institutions and authors and their citation impact besides examining pattern of citation. The study also examined the pattern of domestic and international collaboration. Findings of the study indicate that the pattern of output is inconsistent in both the journals. The output is scattered among 39 countries in CJSIM and 50 countries in JSR. India followed by Iran contributed the highest number of papers in both the journals. Most of the prolific institutions and authors were from India in both the journals. More number of papers remained uncited in CJSIM as compared to JSR. More number of papers were published in domestic collaboration in JSR as compared to CJSIM. However, papers published in international collaboration in both the journals was almost equal. Among all the countries, China published the highest number of papers in international collaboration in CJSIM, but no such trend was observed in JSR. [ABSTRACT FROM AUTHOR]

The aim of this article is to explore up to seven parameters related to the methodological quality and reproducibility of thematic bibliometric research published in the two most productive journals in bibliometrics, Sustainability (a journal outside the discipline) and Scientometrics, the flagship journal in the field. The study identifies the need for developing tailored tools for improving the quality of thematic bibliometric analyses, and presents a framework that can guide the development of such tools. A total of 508 papers are analysed, 77% of Sustainability, and 23% published in Scientometrics, for the 2019-2021 period. An average of 2.6 shortcomings per paper was found for the whole sample, with an almost identical number of flaws in both journals. Sustainability has more flaws than Scientometrics in four of the seven parameters studied, while Scientometrics has more shortcomings in the remaining three variables. The first limitation of this work is that it is a study of two scientific journals, so the results cannot be directly extrapolated to the set of thematic bibliometric analyses published in journals from all fields. We propose the adoption of protocols, guidelines, and other similar tools, adapted to bibliometric practice, which could increase the thoroughness, transparency, and reproducibility of this type of research. These results show considerable room for improvement in terms of the adequate use and breakdown of methodological procedures in thematic bibliometric research, both in journals in the Information Science area and journals outside the discipline. [ABSTRACT FROM AUTHOR]

The correction practice of scientific publications is usually used to correct publication errors by issuing correction notices, and it is less explored compared to retraction practice. The aim of this study is to present an overview of correction practice and to explore the citation situation of correction notices in library and information science (LIS) journals, using 720 correction notices in the Web of Science from 2001–2020. Through bibliometrics and content analysis, we found the correcting rate of LIS was relatively low. The main types of corrected errors occurred in authorship, figure or table, references, etc. Most corrected errors were trivial or minor. The citation situation of correction notices was more complex than expected and could be classified into five types. It was relatively rare to cite both the corrected paper and correction notice in a standardized manner. The remaining four types of citation were unreasonable, which could influence citation practice and reduce the citations of corrected papers. We concluded that the appearance of the correction notice had affected the citation of the corrected papers to some extent, and researchers and databases needed to pay attention to this problem. We also provided some suggestions for improving correction practice. [ABSTRACT FROM AUTHOR]

Value co‐creation as a research topic has been a critical proposition of interest to a wide range of disciplines. In recent years, the field of cultural heritage has also developed a range of information practices to promote different forms of value co‐creation. While the body of literature has begun to accumulate, we still lack a comprehensive understanding of conceptual foundations and how value co‐creation is implemented in cultural heritage information practices. This paper conducted a hermeneutic literature review to understand and conceptualize the core aspects of value co‐creation in various cultural heritage information works. In particular, this paper provides a research mapping of the genres of co‐creation in cultural heritage information practices, the actors, and the roles played by the stakeholders. Further, this review provides an overview of the dominant value co‐creation models in the cultural heritage field. It distills the drivers of value co‐creation and the core value consequences that arise from a process perspective. Finally, this paper puts forward a thematic, theoretical, and methodological agenda for future work based on these findings. The review contributes to the literature by proposing an integrated conceptual framework that summarizes the core elements of value co‐creation in cultural heritage information practices. The framework also serves as a call for action, providing a general understanding of the conceptual foundation for future research. [ABSTRACT FROM AUTHOR]

Identifying factors that associate with more cited or higher quality research may be useful to improve science or to support research evaluation. This article reviews evidence for the existence of such factors in article text and metadata. It also reviews studies attempting to estimate article quality or predict long‐term citation counts using statistical regression or machine learning for journal articles or conference papers. Although the primary focus is on document‐level evidence, the related task of estimating the average quality scores of entire departments from bibliometric information is also considered. The review lists a huge range of factors that associate with higher quality or more cited research in some contexts (fields, years, journals) but the strength and direction of association often depends on the set of papers examined, with little systematic pattern and rarely any cause‐and‐effect evidence. The strongest patterns found include the near universal usefulness of journal citation rates, author numbers, reference properties, and international collaboration in predicting (or associating with) higher citation counts, and the greater usefulness of citation‐related information for predicting article quality in the medical, health and physical sciences than in engineering, social sciences, arts, and humanities. [ABSTRACT FROM AUTHOR]

Science as a whole is organized into broad fields, and as a consequence, research, resources, students, etc., are also classified, assigned, or invited following a similar structure. Some fields have been established for centuries, and some others are just flourishing. Funding, staff, etc., to support fields are offered if there is some activity on it, commonly measured in terms of the number of published scientific papers. How to find them? There exist well-respected listings where scientific journals are ascribed to one or more knowledge fields. Such lists are human-made, but the complexity begins when a field covers more than one area of knowledge. How to discern if a particular paper is devoted to a field not considered in such lists? In this work, we propose a methodology able to classify the universe of papers into two classes; those belonging to the field of interest, and those that do not. This proposed procedure learns from the title and abstract of papers published in monothematic or "pure" journals. Provided that such journals exist, the procedure could be applied to any field of knowledge. We tested the process with Geographic Information Science. The field has contacts with Computer Science, Mathematics, Cartography, and others, a fact which makes the task very difficult. We also tested our procedure and analyzed its results with three different criteria, illustrating its power and capabilities. Interesting findings were found, where our proposed solution reached similar results as human taggers also similar results compared with state-of-the-art related work. [ABSTRACT FROM AUTHOR]

The gig economy and gig work have grown quickly in recent years and have drawn much attention from researchers in different fields. Because the platform mediated gig economy is a relatively new phenomenon, studies have produced a range of interesting findings; of interest here are the socio‐technical issues that this work has surfaced. This systematic literature review (SLR) provides a snapshot of a range of socio‐technical issues raised in the last 12 years of literature focused on the platform mediated gig economy. Based on a sample of 515 papers gathered from nine databases in multiple disciplines, 132 were coded that specifically studied the gig economy, gig work, and gig workers. Three main socio‐technical themes were identified: (1) the digital workplace, which includes information infrastructure and digital labor that are related to the nature of gig work and the user agency; (2) algorithmic management, which includes platform governance, performance management, information asymmetry, power asymmetry, and system manipulation, relying on a diverse set of technological tools including algorithms and big data analytics; (3) ethical design, as a relevant value set that gig workers expect from the platform, which includes trust, fairness, equality, privacy, and transparency. A social informatics perspective is used to rethink the relationship between gig workers and platforms, extract the socio‐technical issues noted in prior research, and discuss the underexplored aspects of the platform mediated gig economy. The results draw attention to understudied yet critically important socio‐technical issues in the gig economy that suggest short‐ and long‐term opportunities for future research directions. [ABSTRACT FROM AUTHOR]

While bibliographic classifications are traditionally based on disciplines, the logical alternative is phenomenon‐based classification. Although not prevalent, this approach has been explored in the 20th century by J.D. Brown, the Classification Research Group, and others. Its principles have been stated in the León Manifesto (2007) and are currently represented by such general schemes as the Basic Concepts Classification and the Integrative Levels Classification. A phenomenon‐based classification lists classes of phenomena, including things and processes irrespective of the discipline studying them (which can optionally be specified as an additional facet). Facets can work in a phenomenon‐based system much as in a disciplinary one. This kind of system will promote the identification of potential relationships between research in different disciplines, and will especially benefit interdisciplinary work. The paper reviews the theory, history, structure, advantages, applications, and evaluation of phenomenon‐based classification systems. [ABSTRACT FROM AUTHOR]

As the proper noun for geographical entities, place names provide an intuitive way to identify and access specific geographic locations, playing a key role in semantic expression and spatial retrieval. However, existing research has insufficiently explored the spatio-temporal derivation relationships of place names, failing to fully utilize these relationships to enhance the connectivity between place names and improve spatial retrieval capabilities. Therefore, this paper conducts research on the spatio-temporal derivation relationships of place names, defines them in a standardized manner, clarifies the boundary conditions and identification methods, and then constructs a spatio-temporal derivation network of place names for expression and uses this network to carry out reasoning research on spatial adjacency relationships. Experiments and results showed that using the theory and methods of this paper to identify the spatio-temporal derivation relationships of Canadian place names achieves an accuracy rate of 98.5% and a recall rate of 93.4%, and the reasoning results can effectively improve the accuracy of query results. The research enriches the theoretical framework of spatio-temporal derivation relationships of place names, solves the current problems of unclear definition and inability to automatically identify spatio-temporal derivation relationships, and provides new perspectives and tools for the application practice in the field of geographical information science. [ABSTRACT FROM AUTHOR]

Purpose: The aim of this paper is to review the psychological literature on curiosity and its relationship to information-seeking behaviour, and compare this with the information science literature on the same subject. Design/methodology/approach: The approach adopted is that of a comparative literature review, with an analysis of the papers retrieved in terms of their theoretical approach, context, study population and research method. Findings: Curiosity is understood as a multi-faceted cognitive trait in humans and the relationship to information-seeking behaviour is explored through an exploration of other personality characteristics. There is very little citation of the information science literature in the psychological papers, and only a little more citation of the psychological literature in the information science papers. Originality/value: The author is not aware of any similar exploration of the literature on curiosity. [ABSTRACT FROM AUTHOR]

The Journal of Geographical Systems (JGS) has announced two initiatives to recognize outstanding research published in the journal. The first initiative is the JGS Best Paper Award, which aims to encourage and acknowledge excellent scholarship in the field of GIScience and spatial planning. The second initiative is the Editors' Choice, where the editors select their favorite paper from each issue. The winners of these awards are listed on the journal's website and their papers are made freely accessible for a certain period of time. The 2023 JGS Best Paper Award was given to Luyu Liu, Adam Porr, and Harvey J. Miller for their research on evaluating the reliability of public transit accessibility using real-time data. The paper demonstrates how even small levels of unreliability in transit services can significantly impact accessibility levels, particularly for lower income populations. The paper also promotes open and reproducible research practices. The Editors' Choice for Volume 26(1) is a paper by Chris Jacobs-Crisioni, Ana I. Moreno-Monroy, Mert Kompil, and Lewis Dijkstra, which proposes a sequential approach to estimate school provision, cost, and access using open databases of student counts. The paper provides valuable insights into the balance between cost, access, and residential values in school provision. Both papers are recognized for their significant contributions to the field. [Extracted from the article]

Artificial intelligence (AI) has emerged as an innovative technology with the potential to revolutionize various industries including libraries and information science. Academic libraries are increasingly adopting artificial intelligence (AI) to enhance services, improve efficiency, and enhance user experience. This study utilizes a bibliometric approach to comprehensively analyze current research on AI in academic libraries (AI in ALs). This study employed bibliometric indicators to identify key trends, patterns, and research gaps in the existing literature. A comprehensive dataset of 373 research papers on AI in ALs published between 2002 and 2022 was collected and analyzed using the Scopus database. Various bibliometric tools, such as Biblioshiny, VOSviewer, and BibExcel, have enhanced this analysis. The findings of this study provide important insights. By 2022, there were 64 publications, constituting 17.16% of the total corpus, accompanied by 65 citations. In contrast, 2019 witnessed only 33 publications yet accumulated a substantial number of citations, amounting to 294, representing 8.85% of the overall citations. Conference papers exhibited the highest frequency among different publication types, with 165 publications, whereas journal articles had the highest citation count, accumulating 217 citations. Geographically, China emerged as the leading contributor with 119 publications, and Wuhan University stood out as the most prominent affiliation. Notably, the "Lecture Notes in Computer Science" series emerged as the most prolific source title, publishing 15 articles, of which eight were cited. The authors Wang J., Wang C., and Wang X. from China demonstrated significant contributions, consistently publishing four papers annually from 2010 to 2022. [ABSTRACT FROM AUTHOR]

Reviews have long been recognized as among the most important forms of scientific communication. The rapid growth of the primary literature has further increased the need for reviews to distill and interpret the literature. This review on Reviews and Reviewing: Approaches to Research Synthesis encompasses the evolution of the review literature, taxonomy of review literature, uses and users of reviews, the process of preparing reviews, assessment of review quality and impact, the impact of information technology on the preparation of reviews, and research opportunities for information science related to reviews and reviewing. In addition to providing a synthesis of prior research, this review seeks to identify gaps in the published research and to suggest possible future research directions. [ABSTRACT FROM AUTHOR]

Death is an inevitable part of life and highly relevant to information management: its approach often requires preparation, and its occurrence often demands a response. Many works in information science have acknowledged so much, and yet death is rarely a focused topic, appearing instead sporadically and disconnected across research. As a result there is no introduction to, overview of, or synthesis across studies on death and information. We therefore conducted an extensive literature search and reviewed nearly 300 scholarly publications at the intersection of death and information (and data) management. Covering seven topics in total, we review two groups of work directly engaging information management in relation to death (digital possessions, inheritance, and legacy; information behavior, needs, and practices around death), three engaging death and technology that require information and its management (death and the Internet, thanatosensitive design and technology‐augmented death practices, and the digital afterlife and digital immortality), and two reflecting the ethical and legal dimensions unique to death and information. We then integrate the collective findings to summarize the landscape of death‐related information research, outline remaining challenges for individuals, families, institutions, and society, and identify promising directions for future information science research. [ABSTRACT FROM AUTHOR]

Data culture/s as a research topic has begun to attract attention from a wide range of disciplines, albeit with inconsistent application of definitions, dimensions, and applications. This work builds on a call to investigate data culture/s within the information studies domain as a topic related to, but distinct from, information culture. The purpose of this study is to explore what is known about data culture/s in greater depth. We apply a retroductive approach to select and consider likely dimensions, inputs, and aspects of data culture/s in order to further map this construct to the literature, and thereby highlight gaps and opportunities to add to this body of knowledge. The initial candidate dimensions explored below include data‐related skills and attitudes, data sharing, data use/reuse, data ethics and governance, and a specific focus on Indigenous perspectives to provide insights on why and how a group may contest the emergent dominant discourse of data culture/s. Our conclusion highlights areas needing further research to fully define and examine the dimensions, inputs, and aspects of data culture/s, and calls for greater understanding and engagement with data culture/s from the information studies community. [ABSTRACT FROM AUTHOR]

The employment of the positivist paradigm in Library and Information Science (LIS) research is commonplace, by at least those who have cared to declare their research paradigms, especially at masters and doctoral levels of their studies. Inspired by such widespread use of positivism in LIS, this paper interrogates the applicability and appropriateness of this paradigm as a philosophical bearing for LIS researchers. Although the thrust of the paper is to critique the applicability of positivism to LIS research, it is itself not a lampoon on the scientific nature of LIS, neither is it in the interest of the paper to challenge any researchers who have employed positivism in the conduct of their research in the area of LIS. Instead, it is a critical reflection on some of the glaring challenges of employing positivism in LIS research, and warns against falling into the trap of what the author calls "positivist paradigmatic sophistry." The paper is not prescriptive or conclusive, but opens new opportunities for critically reflecting on the utility of positivism in LIS research, and a more careful use of this paradigm by LIS scholars and researchers. The discussion unfolds by first putting LIS into perspective by way of briefly tracing the development of the sciences through the lens of Comte. It proceeds by way of explaining the nature of LIS in order to put it into perspective and goes on to unpack the concept of a paradigm before zeroing in on positivism as a paradigm of research. The paper finally presents some challenges that are associated with the application of positivism to LIS research. It argues that positivism is largely incompatible with LIS as a social science and concludes by imploring LIS researchers to engage in a deliberative and progressive discourse on whether positivism is appropriate for LIS research. [ABSTRACT FROM AUTHOR]

This paper presents an analysis of a hundred and one handwritten essays by master students in Informatics. The students reflected on their experiences of working with pen and paper for reading and writing as a mandatory assignment for the duration of a five-week intensive course. Taking an inductive approach, reflexive thematic analysis was used to identify patterns of meaning across the full dataset. The essays elicited insightful student reflections on learning, knowing, and being. One overarching theme, New connections, and four sub-theses were identified: Handwriting as note making, Being present for learning, Freedom to think, and Materiality of reading and writing. This study contributes to an improved understanding of the affordances of paper and laptops in the lecture room, based on a student-centred approach, and reflects on how student perspectives can be implemented during lectures. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is twofold: first, to provide a nuanced understanding of the information concept that encapsulates both its universal foundations and context-dependent intricacies, and second, to propose a theoretical framework that integrates these diverse viewpoints, thereby contributing to the theoretical discourse and practical applications in information science/studies (IS). Design/methodology/approach: The aim of this paper is to explore the relationship between universalism and pluralism in connection with semiotics. The paper adopts a conceptual approach based on semiotics to address the long-standing debate over the definition of information in IS. By engaging with two foundational semiotic theories—C.S. Peirce's pragmatic semiotics and Ferdinand de Saussure's structuralist semiotics – the research seeks to bridge the conflicting perspectives of universalism and pluralism within the field. Findings: The findings reveal that Peirce's semiotics, with its universalist core, views information as dynamic and shaped by context, while Saussure's approach, which is rooted in linguistics, emphasizes the relational aspects of sign systems and connects them to pluralism. This comparative analysis facilitates a broad understanding of information that transcends the limitations of singular perspectives. In conclusion, the paper seeks to demonstrate that the integration of universalist and pluralist perspectives through semiotics offers a more holistic approach to the study of information in IS. It contributes to the field by suggesting that the tension between these perspectives is not only reconcilable but also essential for a richer and more complete understanding of information. This theoretical foundation paves the way for future research and practical advancements in IS and advocates for approaches that recognize the complexity and multifaceted nature of information. Research limitations/implications: The study engages with theoretical frameworks, predominantly semiotic theories by C.S. Peirce and Ferdinand de Saussure. While this provides a deep conceptual understanding, the lack of empirical data may limit the practical applicability of the findings. The research focuses on two semiotic perspectives, which, although foundational, do not represent the entirety of semiotics or information theory. Other significant semiotic theories and perspectives could provide alternative or complementary insights. The concepts of universalism and pluralism in information science are highly intricate and multifaceted. This study's approach to synthesizing these concepts, while comprehensive, might oversimplify some aspects of these complex paradigms. Originality/value: The paper's originality lies in its unique integration of semiotic theories into the discourse of IS. This integration offers a novel perspective on understanding the concept of information, bridging the gap between universalist and pluralist approaches. The study presents a new conceptual framework for understanding information that combines elements of universalism (consistent, objective understanding of information) and pluralism (context-dependent, subjective interpretations). This dual approach is relatively unexplored in IS literature, providing fresh insights into the complex nature of information. [ABSTRACT FROM AUTHOR]

Classifying papers according to the fields of knowledge is critical to clearly understand the dynamics of scientific (sub)fields, their leading questions, and trends. Most studies rely on journal categories defined by popular databases such as WoS or Scopus, but some experts find that those categories may not correctly map the existing subfields nor identify the subfield of a specific article. This study addresses the classification problem using data from each paper (Abstract, Title, Keywords, and the KeyWords Plus) and the help of experts to identify the existing subfields and journals exclusive of each subfield. These "exclusive journals" are critical to obtain, through a pattern detection procedure that uses machine learning techniques (from software NVivo), a list of the frequent terms that are specific to each subfield. With that list of terms and with the help of optimization procedures, we can identify to which subfield each paper most likely belongs. This study can contribute to support scientific policy‐makers, funding, and research institutions—via more accurate academic performance evaluations—, to support editors in their tasks to redefine the scopes of journals, and to support popular databases in their processes of refining categories. [ABSTRACT FROM AUTHOR]

Subject to various restrictive requirements on project application and completion, funded projects are often affected by funding policies for the selection of research objects. This study explored the impact of scientific research funding policies on the funding and research by comparing the topic distribution of awards and papers. A total of 1,870 awards and 16,491 papers of the National Social Science Foundation of China (NSSFC) in library and information science (LIS) were collected from a Chinese research project database. According to the results, the growth rate of awards on most topics is higher than that of papers, while the growth rate of papers on the relevant topics to users, technology, and metrology is higher than that of awards. It was found out in the study that the topics funded by NSSFC were imbalanced. NSSFC provides much more funding to traditional topics rather than emerging topics. As indicated by the funding provided to the projects on traditional topics for research on a large number of papers on emerging topics, however, the innovation and diversity of academic research have yet to be restricted. This study demonstrated that the effect of funding policies on the research topics in LIS is significant. Topic suggestions and funding structure of NSSFC have more impacts on award topics than on paper topics. The influence of NSSFC-recommended topics on paper topics is declining year by year. Additionally, awards with high funding intensity are more susceptible to topic suggestions. [ABSTRACT FROM AUTHOR]

This study explores the publishing success of less experienced researchers including early career researchers in a selection of library and information science journals. The study includes all authors of articles and reviews published in 10 library and information science journals during a 20-year period (2001–2020). The prior publication of each author is determined at the time of publication in one of the ten journals. The analysis includes 14,612 publications and publication histories of 36,417 authors. The results show that there are considerable differences between journals, and that the share of publications by less experienced researchers has generally decreased over time. Library automation journals publish considerably more publications by early career researchers than information science journals do. Publications in these 10 library and information science journals are being published by authors with an increasing publishing experience and fewer papers are being published by author teams with little experience. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of the paper is to analyze how the Neo-documentalist movement, initiated in 1996 by Michael Buckland, Boyd Rayward and Niels Lund, has evolved in its 27 years history, how the choice of documentation as name of the new program in Tromsø has made a difference in the LIS field and how different documentation scholars around the world has participated and approached the movement until now. Design/methodology/approach: The paper has approached the "Neo-documentalist movement" in a historical perspective from 1996 to 2023 discussing what difference does the choice of a concept make, when the concept of documentation is chosen instead of information in the name of a program and for the general discussion of the object of an academic field like Library and Information Science. Findings: The analysis shows that it did make a difference to choose the concept of documentation as name of the program in Tromsø and the Neo-documentalist movement contributed to a new focus and discussion of the informative objects, the documents and their creation, not only in Tromsø, but in different parts of the world across linguistic borders. Originality/value: The paper is original by the fact that it is the first time that the neo documentalist movement has been reviewed on a global scale across linguistic barriers. It has value by a discussion of the ways in which a choice of concept matter in relation to defining a field and the research agenda. [ABSTRACT FROM AUTHOR]

Purpose: The main purpose of the paper is to offer a personal view on the development of documentation/information and documentation (IuD) in Germany, while pointing out the need to further investigate the specific features of its development paths. The methodology is based on critical review of the available literature sources in the German language. Design/methodology/approach: The paper uses the method of critical review of published documents in journals (especially in Nachrichten für Dokumentation), books and reports of state and provincial administrations that are directly related to monitoring and/or encouraging the development of the young field of documentation. Findings: The paper offers a review and interpretation of the most significant development phases, the contributions of individuals and the influence of the official state and information policy based on the consulted sources. Research limitations/implications: This research is limited to the literature written in German language. Practical implications: The paper could be of interest to researchers and professionals who are interested in the development of documentation. Social implications: The paper covers the period after the World War II until the end of 1980s that is especially interesting from the social point of view in divided Germany. Originality/value: To the author's knowledge, there is no comprehensive history of documentation in German-speaking countries written in English. This paper is the result of a research project started three years ago with colleagues from Germany, Austria and Switzerland, that aims to cover all phases of the appearance and development of information science in German-speaking countries and could be understood as a kind of introduction to papers planned to follow. [ABSTRACT FROM AUTHOR]

This text is a guest editorial that reflects on the influence and mentorship of Michael Buckland, a prominent figure in the field of library and information science. The author shares their personal experience of discovering Buckland's work and how it shaped their own research and career. They highlight Buckland's humility, curiosity, and willingness to take chances on others. The text also includes a brief mention of Buckland's concept of "information as thing" and its impact on the author's understanding of museum objects as documents. Overall, the text serves as a tribute to Buckland's mentorship and the lasting impact he has had on the field. [Extracted from the article]

Purpose: This paper offers a definition of the core of information science, which encompasses most research in the field. The definition provides a unique identity for information science and positions it in the disciplinary universe. Design/methodology/approach: After motivating the objective, a definition of the core and an explanation of its key aspects are provided. The definition is related to other definitions of information science before controversial discourse aspects are briefly addressed: discipline vs. field, science vs. humanities, library vs. information science and application vs. theory. Interdisciplinarity as an often-assumed foundation of information science is challenged. Findings: Information science is concerned with how information is manifested across space and time. Information is manifested to facilitate and support the representation, access, documentation and preservation of ideas, activities, or practices, and to enable different types of interactions. Research and professional practice encompass the infrastructures – institutions and technology –and phenomena and practices around manifested information across space and time as its core contribution to the scholarly landscape. Information science collaborates with other disciplines to work on complex information problems that need multi- and interdisciplinary approaches to address them. Originality/value: The paper argues that new information problems may change the core of the field, but throughout its existence, the discipline has remained quite stable in its central focus, yet proved to be highly adaptive to the tremendous changes in the forms, practices, institutions and technologies around and for manifested information. [ABSTRACT FROM AUTHOR]

This paper incorporates scholarly articles, conference papers, and published books, analyzing these sources to explore how topic modeling is used to uncover trends, identify research areas, and contribute to understanding the digital economy. The study utilizes bibliography data and Python libraries for topic modeling to examine 8,321 documents from the Scopus database. Through rigorous analysis, three distinct topics were identified, and their development trends were traced, providing insights into the shifting focus within the field. The study also validates the classification proposed by the coherence coefficient and contributes theoretically and methodologically by employing Latent Dirichlet Allocation (LDA) topic modeling technology within text analytics. The results of this study indicated that "Digital Transformation" emerged as the most popular, accounting for 56.6% of tokens. However, the "Digitalization" topic exhibited relatively lower popularity, representing only 21.2% of tokens. The findings help enhance the understanding of global research trends and offer a valuable framework for comprehending digital economy research. Furthermore, the study emphasizes the significance of analyzing digitalization, data governance, and digital transformation, highlighting the efficacy of LDA as a powerful tool for efficient and accurate text analytics. The research findings are especially pertinent for scholars in information science, data mining, econometrics, and bibliometrics. They offer a foundational understanding of topic modeling, facilitating further investigation and exploration in these fields. However, the study identifies two limitations, including the limited dataset extracted solely from Scopus and the restriction to abstracts rather than full texts. Future research should consider expanding data sources and incorporating full texts from authoritative articles in multiple languages to attain more comprehensive outcomes. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to characterize library and information science (LIS) as fragmenting discipline both historically and by applying Whitley's (1984) theory about the organization of sciences and Fuchs' (1993) theory about scientific change. Design/methodology/approach: The study combines historical source analysis with conceptual and theoretical analysis for characterizing LIS. An attempt is made to empirically validate the distinction between LIS context, L&I services and information seeking as fragmented adhocracies and information retrieval and scientific communication (scientometrics) as technologically integrated bureaucracies. Findings: The origin of fragmentation in LIS due the contributions of other disciplines can be traced in the 1960s and 1970s for solving the problems produced by the growth of scientific literature. Computer science and business established academic programs and started research relevant to LIS community focusing on information retrieval and bibliometrics. This has led to differing research interests between LIS and other disciplines concerning research topics and methods. LIS has been characterized as fragmented adhocracy as a whole, but we make a distinction between research topics LIS context, L&I services and information seeking as fragmented adhocracies and information retrieval and scientific communication (scientometrics) as technologically integrated bureaucracies. Originality/value: The paper provides an elaborated historical perspective on the fragmentation of LIS in the pressure of other disciplines. It also characterizes LIS as discipline in a fresh way by applying Whitley's (1984) theory. [ABSTRACT FROM AUTHOR]

This is a lightly copy-edited version of the paper given by Bill Ross (1964–2022) at the "Michel Serres and the Social" Colloquium held at Queens' College, Cambridge, in June 2022. The editor has maintained the language of "paper" rather than "article" throughout. The paper addresses the respective stances of Michel Serres and Jean-François Lyotard to the prospect of the end of the world. Considering this end in relation to technology, evolution, and information throws into relief how each thinker regards its significance for humankind, its connection with the Earth, and what succeeds such an end. For Lyotard, the story is ultimately one of the inhuman, a possible version of the human continued elsewhere in the universe but where the characteristics we associate with humanity are threatened – or worse – by the necessity of adapting to a different environment. By contrast, Serres is shown to regard the prospect of the end as an impetus to renew our contract with the Earth. [ABSTRACT FROM AUTHOR]

Purpose: The study examined the comprehensive assessment of the efficacy of Library and Information Science (LIS) CPD programmes in the particular setting of Indian academic libraries in Northern India. The study systematically assessed the programmes' impact on four levels: behaviour, reaction, learning, and results, using Donald Kirkpatrick's widely recognised evaluation model. Design/methodology/approach: The research employed a census sampling method and a questionnaire to gather information from 177 respondents employed in university libraries. Findings: The findings demonstrated that professionals were satisfied with the CPD programmes, eager to learn more and apply their newly acquired knowledge and skills at their workplaces, and interested in applying learning to get results. Moreover, the significant factors that hindered the implementation of learning in the workplace were a lack of management support and poor IT infrastructure. Originality/value: The paper's uniqueness and significance come from carefully examining the effects of CPD programmes in LIS within the particular setting of university libraries in Northern India. [ABSTRACT FROM AUTHOR]

This study examines recent publishing trends in geographic information science (GIScience) journals. The study considers citable items (research articles, reviews) in 24 selected journals, and assesses them for the period between 2018 and 2023. The study begins by providing an overview of GIScience journal publishing trends, including growth in absolute numbers and the proportion in which they disseminate research as open access (OA). The geographic footprint of GIScience authors and international collaboration are also explored. Journals and their impact, reputation, and perceived quality are assessed using common journal metrics, including impact factor, 5-year impact factor, CiteScore, source normalized impact per paper (SNIP), SCImago Journal Rank (SJR), immediacy index, article influence score and normalized Eigenfactor. A composite index consisting of all these metrics from 2022 is established. The paper finds that GIScience is increasingly disseminated as OA. There is evidence that the Global South is underrepresented in GIScience, which necessitates greater inclusion and support in these regions. Finally, the assessment of journal metrics helps researchers identify prominent GIScience journals for disseminating their work effectively. This paper contributes to the knowledge and understanding of recent publishing trends in GIScience, offering valuable insights to researchers, practitioners and journal editors. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this paper is to provide a new and useful formulation of relevance. Design/methodology/approach: This paper is formulated as a conceptual argument. It makes the case for the utility of considering relevance to be function of use in creative processes. Findings: There are several corollaries to formulating relevance as a function of use. These include the idea that objects by themselves cannot be relevant since use assumes interaction; the affordances of objects and how they are perceived can affect what becomes relevant but are not in themselves relevant; relevance is not an essential characteristic of objects; relevance is transient; potential relevance (what might be relevant in the future) can be distinguished from what is relevant in use and from what has been relevant in the past. Originality/value: The paper shows that its new formulation of relevance brings improved conceptual and terminological clarity to the discourse about relevance in information science. It demonstrates that how relevance is articulated conceptually is important as its conceptualization can affect the ways that users are able to make use of information systems and, by extension, how information systems can facilitate or disable the co-production of creative outcomes. The paper also usefully expands investigative opportunities by suggesting relevance and creativity are interrelated. [ABSTRACT FROM AUTHOR]

Purpose: This bibliometric study is steered to compute the impact of literature published on cloud computing within the fields of information science and library science. The research has been conducted on concentrating the term "Cloud Computing" to search the literature published in both fields, i.e. information science and library science from the time span 2007 to August 2023. This study aims to investigate the top productive country, organizations and highly cited publications. Design/methodology/approach: The period of the exploration was from 2007 to August 2023 for bibliometric analysis and data was collected from the ISI Web of Science. Total 401 documents were retrieved and analyzed to highlight the year-wise distribution of documents type, year-wise most cited articles, prominent journals of the subjects, productivity of organizations, impact of countries and cooccurrences of keywords. The results are grounded on the basis of documents types (articles, early access articles, proceeding papers, book review, editorial material, news items and reviews). Findings: The findings reveal that the most productive year of publication on cloud computing services was 2013. The top productive source is "International Journal of Information Management." The articles entitled "Assessing the determinants of cloud computing adoption: An analysis of the manufacturing and services sectors" found as the most cited article and the significant increase in citations is also noteworthy. The most productive organizations on the topic include "Islamic Azad University of Iran," "University Cologne of Germany" and "University Nova Lisboa of Portugal." The results confirmed that the USA dominates in the production of research on "Cloud Computing Services" and the most repeated keyword in the literature is cloud computing. The research articles are the most cited sources of research. Originality/value: This bibliometric research is an original piece of work that has been conducted to measure the research production in the field of information science and library science during 2007−2023. This piece of work is valuable for those who want to study the literature on cloud computing in the area of information science and library science. [ABSTRACT FROM AUTHOR]

Data integration is considered a classic research field and a pressing need within the information science community. Ontologies play a critical role in such processes by providing well-consolidated support to link and semantically integrate datasets via interoperability. This paper approaches data integration from an application perspective by looking at ontology matching techniques. As the manual matching of different sources of information becomes unrealistic once the system scales up, the automation of the matching process becomes a compelling need. Therefore, we have conducted experiments on actual non-semantically enriched relational data with the support of existing tools (pre-LLM technology) for automatic ontology matching from the scientific community. Even considering a relatively simple case study—i.e., the spatio–temporal alignment of macro indicators—outcomes clearly show significant uncertainty resulting from errors and inaccuracies along the automated matching process. More concretely, this paper aims to test on real-world data a bottom-up knowledge-building approach, discuss the lessons learned from the experimental results of the case study, and draw conclusions about uncertainty and uncertainty management in an automated ontology matching process. While the most common evaluation metrics clearly demonstrate the unreliability of fully automated matching solutions, properly designed semi-supervised approaches seem to be mature for more generalized application. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to show that the neo-documentary – or complimentary – approach in Library and Information Science by no means is conservative, but highly necessary also in today's digitized media landscape. An example from a digitized photo archive is chosen to demonstrate the importance of a complimentary analysis that considers both material aspects as well as social and mental ones. Design/methodology/approach: By taking Jenna Hartel's description of the neo-documentary turn as point of departure, the paper focuses on one case, the portrait of Johannes Abrahamsen Motka taken by Sophus Tromholt in 1883 and discusses different versions of the photograph from glass plate negatives to digitized versions in different contexts and media. Findings: Many of the same paratextual elements can be found in different versions, also the digitized ones, to help the viewer to establish a historical context, but the images exhibited today are nevertheless no longer the same ones taken by Tromholt at the end of the 19th century. Not only have the material properties changed, but also – and probably even more important in most cases – the social and mental aspects. More re-contextualization is needed for today's audiences to recognize and understand a historical photograph taken in a colonial context. Focusing on document's material elements is not novel within the LIS-field, but the so-called neo-documentary turn was also a reaction on political and technological developments during the 1980s and 1990s. The increased focus on understanding a document in a complimentary way has demonstrated its impact during the last decades and is, at the same time, still work in progress. Research limitations/implications: As a scholar in the humanities the author can only relate to and therefore analyze what the author can experience and observe on screen level. Originality/value: In providing a case study, this article illustrates the necessity of employing a complimentary approach when analyzing documents. This also implicates the claim that the neo-documentary turn – or complimentary as it rather should be called – by no means is a conservative one, but a highly necessary one in today's digitized media landscape. [ABSTRACT FROM AUTHOR]

Purpose: The effectiveness of rhetorical structure is essential to communicate key messages in research articles (RAs). The interdisciplinary nature of library and information science (LIS) has led to unclear patterns and practice of using rhetorical structures. Understanding how RAs are constructed in LIS to facilitate effective scholarly communication is important. Numerous studies investigated the rhetorical structure of RAs in a range of disciplines, but LIS articles have not been well studied. Design/methodology/approach: In this study, the authors encoded rhetorical structures to 2,216 articles in the Journal of the Association for Information Science and Technology covering a period from 2001 to 2018 with the approaches of co-word analysis and visualization. The results show that the predominant rhetorical structures used by LIS researchers follow the sequence of Introduction-Literature Review-Methodology-Result-Discussion-Conclusion (ILMRDC). Findings: The authors' temporal examination reveals the shifts of evolutionary pattern of rhetorical structure in 2008 and 2014. More importantly, the authors' study demonstrates that rhetorical structures have varied greatly across research areas in LIS community. For example, scholarly communication and scientometrics studies tend to exclude literature review in articles. Originality/value: The present paper offers a first systematic examination of how rhetorical structures are used in a representative sample of a LIS journal, especially from a temporal perspective. [ABSTRACT FROM AUTHOR]

Purpose: The purpose of this study is to identify the research fronts by analysing highly cited core papers adjusted with the age of a paper in library and information science (LIS) where natural language processing (NLP) is being applied significantly. Design/methodology/approach: By excavating international databases, 3,087 core papers that received at least 5% of the total citations have been identified. By calculating the average mean years of these core papers, and total citations received, a CPT (citation/publication/time) value was calculated in all 20 fronts to understand how a front is relatively receiving greater attention among peers within a course of time. One theme article has been finally identified from each of these 20 fronts. Findings: Bidirectional encoder representations from transformers with CPT value 1.608 followed by sentiment analysis with CPT 1.292 received highest attention in NLP research. Columbia University New York, in terms of University, Journal of the American Medical Informatics Association, in terms of journals, USA followed by People Republic of China, in terms of country and Xu, H., University of Texas, in terms of author are the top in these fronts. It is identified that the NLP applications boost the performance of digital libraries and automated library systems in the digital environment. Practical implications: Any research fronts that are identified in the findings of this paper may be used as a base for researchers who intended to perform extensive research on NLP. Originality/value: To the best of the authors' knowledge, the methodology adopted in this paper is the first of its kind where meta-analysis approach has been used for understanding the research fronts in sub field like NLP for a broad domain like LIS. [ABSTRACT FROM AUTHOR]

Compared to previous studies that generally detect scientific breakthroughs based on citation patterns, this article proposes a knowledge entity‐based disruption indicator by quantifying the change of knowledge directly created and inspired by scientific breakthroughs to their evolutionary trajectories. Two groups of analytic units, including MeSH terms and their co‐occurrences, are employed independently by the indicator to measure the change of knowledge. The effectiveness of the proposed indicators was evaluated against the four datasets of scientific breakthroughs derived from four recognition trials. In terms of identifying scientific breakthroughs, the proposed disruption indicator based on MeSH co‐occurrences outperforms that based on MeSH terms and three earlier citation‐based disruption indicators. It is also shown that in our indicator, measuring the change of knowledge inspired by the focal paper in its evolutionary trajectory is a larger contributor than measuring the change created by the focal paper. Our study not only offers empirical insights into conceptual understanding of scientific breakthroughs but also provides practical disruption indicator for scientists and science management agencies searching for valuable research. [ABSTRACT FROM AUTHOR]

Scientific publication is one of the main channels for disseminating research results and one of the most important means of determining the presence of women in scientific research. This article aims to conduct a bibliometric analysis in the Library and Information Science (LIS) field, from a gender perspective, by analysing Journal of Information Science (2015–2020). To reach this goal, the research has been developed in several stages (data collection, gender authors' identification, validation of authorities, contact by email and analysis of results) to identify 326 contributions and 697 authors finally. Analysis patterns showed outcomes on gender (single and multiple authors), scientific collaboration, authorship time-course, authorship productivity as well as institutional and geographic affiliation. Some conclusions show that male and female authors are not equally represented in the journal, with a great difference in the case of collective authorship. Overall, there is a clear trend of single and multiple male authorship. [ABSTRACT FROM AUTHOR]