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This study analyzes the relation between author affiliation reputation and uncitedness. We use 2015 U.S. News Best Global University Subject rankings as representative of affiliation reputation and collect uncited papers from 24 journals in six subjects from WoS. Preliminary correlation analysis results indicate that: (1) there is a significant correlation between affiliation reputation and uncitedness. (2) their relation is negatively and weakly correlated. And secondary data collection and correlation analysis proved that relation between affiliation reputation and uncitedness vary in different subjects. The findings of this study would attract scientists' attention to avoid Matthew Effect and focus more on research papers rather than reputation when citing references. [ABSTRACT FROM AUTHOR]

This paper proposes a network analytic-based method in order to better facilitate interdisciplinary dialogue at conferences. Using a network composed of papers and subject headings of the 2013 ASIS&T Conference Proceedings, its structure is first analyzed by applying a community detection algorithm and two major centrality measures: betweenness and degree centralities. A combination of degree centrality measurements, along with a qualitative evaluation of the results of those measurements, form a novel method that could potentially connect collections whose content may have been previously "siloed" into separate tracks. [ABSTRACT FROM AUTHOR]

The paper examines the concept of participation in co‐design practices with children and youth. Rooted in Participatory Design and Participatory Action Research frameworks, the paper draws from multi‐disciplinary literature to survey existing definitions of the relationships, roles, and types of human interactions in participatory co‐design. The paper advocates for the active role of children and youth in the co‐design process and presents models of youth participation. The paper highlights the importance of understanding and clearly communicating various degrees of participation, with the ultimate goal of empowering youth and involving them in brainstorming, planning, decision‐making, and interpretation stages of the design process. We introduce the concept of conscious co‐design and the need to reflect on the design process at a meta level in Participatory Design and Participatory Action Research. [ABSTRACT FROM AUTHOR]

ABSTRACT This poster presents how Chinese researchers use research information management (RIM) systems (e.g., ResearchGate, Google Scholar). Findings include a typology of activities in which Chinese researchers engage in RIM systems. The findings indicate that obtaining English papers and connecting with scholars from other countries motivate Chinese researchers to use specific RIM systems, while the language barrier and the Great Firewall of China discourage them to use or engage in those systems. [ABSTRACT FROM AUTHOR]

Based on publications in Chemistry in 2015, this paper investigated the citation impact on domestic and foreign scholarly communities of Chinese and US publications, and to what extent does such impact relate to international collaboration and government funding. First‐ or corresponding authorship in international collaboration is defined as dominance and is taken into consideration. Citations to publications are designated as domestic citations (Chinese or US citations), partner citations or other citations according to overlap of countries of citing and cited publications. Significant difference exists in the two countries. Most citations of Chinese publications are from domestic and partner countries, with domestic citations being the mainstay. In contrast, US papers receive more other citations than domestic or partner citations, and citations from partner countries contribute significantly. US papers have higher global impact than those of China. High domestic citation propensity is associated with non‐international collaboration, dominance of focal country in international collaboration, and national funding support. Such phenomenon is more pronounced in Chinese papers. In other words, citation impact of Chinese publications is more limited in domestic community, whereas that of the US is more global. [ABSTRACT FROM AUTHOR]

Academic conferences can promote academic exchanges among researchers. As the core of academic conferences, they inject soul into academic conferences. Here, we put forward the evaluation of researchers' academic conference active degree from the perspective of participation. This paper mainly proposes to apply the "h‐index" and the "p‐index" to the active degree evaluation of researchers, which is a particularly simple and useful method to describe the scientific output of a researcher in academic meetings. The relevant indices are extended to the participation indices, forming the p‐index of participation. Introduce the participation rate to improve the original h‐index and form the h‐index of participation. The evaluation effect of each index is analyzed from the consistency, difference and correlation between them. The results support the conclusion that the p(p)‐index can well reflect the value of researchers' lifetime contribution, and the h(p)‐index can reflect the degree of loyalty of researchers better. [ABSTRACT FROM AUTHOR]

This bibliometric pilot study presents a modified assessment taxonomy devised originally by Leeder, Markey, and Yakel (2012) and demonstrates how to apply it to assess the resources used in the construction of student academic research papers. Besides discussing this assessment tool, we present empirical data of its application, the result of a pilot study conducted at a medium sized Midwestern American university, based on the analysis of a sample of papers written for a freshman level English composition class. Our findings, among many, demonstrate that just one in 700 academic resources cited in these papers comes from a resource like Wikipedia, and that 52% of resources cited in student papers fall into the five taxonomic category combinations. Besides being used for assessment, this taxonomy may reveal models of information usage in future research. [ABSTRACT FROM AUTHOR]

This paper investigates the relationships between scientists' international mobility and their academic disruptiveness, by using data collected from the ORCID website and the Web of Science database (2008‐2017). Specifically, our observations contain 1,388 scholars who joined "brain gain" and "brain drain" and moved to China in the past decades. Results illustrate that scientists' disruptiveness significantly increased after they moved to China. [ABSTRACT FROM AUTHOR]

This paper reports the results of a user study comparing the use of a traditional hierarchical tree interface with an associative graphical interface to select controlled vocabulary terms for document classification. The results suggest that users prefer to have both the hierarchical and associative map rather than the hierarchical tree alone and tend to ascribe more categories when using the experimental interface. [ABSTRACT FROM AUTHOR]

The underrepresentation of women in academia and industries is a hot topic in many research fields. Studies of some occupations showed that neutral names help change the inferior positions of women. Using the publication data of the Web of Science from 2009 to 2015, this paper analyzed citations within 3 years after publication, to investigate whether a neutral name has an impact on the research impact of a scientist. The findings show that: (a) a paper is cited significantly more when the author's name sounds more neutral; (b) the effect of single author's name neutralization degree on citations shows no significant difference in different fields except "Engineering & Technology"; (c) for both men and women, first and last authors with relatively gender‐neutral names have higher scientific impact, in the fields of "Clinical, Pre‐Clinical & Health", "Engineering & Technology", "Life Sciences" and "Physical Sciences". Implications of these findings are provided at the end of the manuscript. [ABSTRACT FROM AUTHOR]

We carried out a bibliometric study on web activism, given their absence, for the period between 2007 and 2018, using as a source the Cibermov bibliographic database, created by the documentation service linked to the R&D project Cyber‐activism, digital citizenship and new urban movements, funded by the Government of Spain, as a tool for its members. [ABSTRACT FROM AUTHOR]

This paper outlines the complexity of the psychological construct of individuals' subjective well‐being (SWB) and argues for the importance of examining behaviours and linguistic expression of individuals online social interactions in relation to self‐reported SWB. This paper calls for a systematic review of the psychology research which examines SWB and its association with various character strengths, personality traits, and behaviours. While the Big Five personality traits (OCEAN) have an underlying neuropsychological basis and are considered as universal dimensions of personality along which humans differ one from another, minimal research has attempted to evaluate the relationship between personality traits, SWB, and online interactions. [ABSTRACT FROM AUTHOR]

As social media becomes more present in the lives of people worldwide, it pervades their deaths as well. Before the Civil War, death and mourning rituals in the United States were largely considered the province of the deceased's loved ones. Following shifts in funerary customs, 21st century Americans are more removed from death care than ever before. Despite this, social media usage patterns have prompted increasingly public digital expressions of grief and mourning. The medium has transformed into a cathartic space for bereaved individuals, with memorialization functions of social media platforms also recasting platforms as sites of preservation. This paper examines account memorialization features of Facebook and Instagram, exploring social media memorialization as archival practice, with a particular focus on the concept of continued use as preservation. By delving into social media phenomena such as context collapse, the paper considers ways public perceptions of death may be shifting in the digital age. In merging the fields of information science and death studies, this paper intends to raise new questions about the potential impact of social media archival practices on the development of more public reckonings with death in mainstream U.S. culture. [ABSTRACT FROM AUTHOR]

The research reported in this paper is part of an ongoing project on promoting Aboriginal cultural storytelling using mobile participatory mapping applications and web‐based interactive storymaps. This paper presents a conceptual framework for developing a co‐designed participatory storymap. The storymap aims to ubiquitously collect location‐based knowledge and stories in both online and offline modes, as well as present an interactive web map that dynamically integrates information recorded as georeferenced texts, images, audios, and videos. The participatory mapping has a potential to allow Aboriginal communities to capture and preserve their cultural heritage on their own using a smartphone or tablet. Ethical co‐designing process of implementing the storymaps is also discussed. [ABSTRACT FROM AUTHOR]

Authority and Agency have been central concepts in information science since its beginnings in 19th century documentalism. This paper begins with a brief historical overview of how these concepts have been constructed in the traditional and user‐centred paradigms. It will then explore how an information practices perspective affords the possibility of seeing authority and agency not as oppositional but rather as synergistic: two sides of the same theoretical coin. This exploration will be contextualised by examples drawn from the author's own research over more than two decades across a range of studies. This body of research includes studies of academic, artistic and serious leisure communities. [ABSTRACT FROM AUTHOR]

The diversity of social media platforms, users and uses has long been a challenge for social media research. The difficulty of inferring meaning from social media acts is also, and perhaps more importantly, due to the fact the even identical acts that are in appearance identical and that occur on the same platforms and contexts can have diverse meanings. This paper proposes a model based on the concepts of social and topical distance that can help shed light on the possible meanings of a social media act. The model considers the social relationship between the content creator and the user, as well as the topical relationship between the content the user's main topics of interest. It is demonstrated by analyzing a set of papers published in JASIST that were tweeted by researchers. The results show that the model can help differentiate between different types of heterogeneous social media acts and users or be used to characterize the attention that a specific content has received on social media. [ABSTRACT FROM AUTHOR]

This paper argues that relational privacy can be used as a starting point for conceptualizing privacy in Eastern cultures for it aligns with an Eastern philosophical conception of person. This paper starts with one of the main conceptions of privacy as one having control over personal information, and leverages the criticisms toward control‐based privacy and its foundation in individual autonomy, to introduce the concept of relational autonomy from the perspectives of feminist theory and Confucianism. It concludes by discussing the implications for conceptualizing privacy from these two foundations. The paper contributes to privacy research in that it provides an initial suggestion of how the conception of privacy might be characterized by the Western and Eastern philosophical traditions; it explicitly relates the conception of privacy to the conception of the person, and it deliberately phrases the discussion within an intercultural environment. [ABSTRACT FROM AUTHOR]

In prior work, we proposed a family of metrics as a tool to quantify adherence to or deviation from good citation practices in scholarly research and publishing. We called this family of metrics FAIR as an acronym for Fair Attribution to Indexed Reports and Fair Acknowledgment of Information Records, and introduced definitions for these metrics with counts of instances of correct or incorrect attribution or nonattribution in primary research articles with citations for previously published references. In the present work, we extend our FAIR family of metrics by introducing a collection of ratio‐based metrics to accompany the count‐based metrics described previously. We illustrate the mathematical properties of the ratio‐based metrics with various simulated examples in order to assess their suitability as a means of identifying papers under peer review as more or less likely to be suspicious for plagiarism. These FAIR metrics would alert peer reviewers to prioritize low‐scoring manuscripts for closer scrutiny. Finally, we outline our planned strategy for future validation of the FAIR metrics with an approach using both expert human analysts and automated algorithms for computerized analysis. [ABSTRACT FROM AUTHOR]

Synthesis is a foundational scholarly product that generates new conceptual wholes from independent intellectual sources. But effective synthesis products—such as literature reviews—are rare, in part due to inadequate support from existing tools and information systems. A detailed, situated understanding of the work practices behind synthesis is necessary to inform the development of synthesis tools. Previous work in scholarly primitives, active reading, and sensemaking provide partial explanations of aspects of synthesis, but a detailed explanation of scholarly synthesis, specifically, is lacking. This paper presents a foundational empirical examination of the work practices behind synthesis to address the gap, focusing on unpacking the intermediate products, processes, and tools through in‐depth contextual interviews with scholars. Results shed light on the distinctive intermediate products generated during synthesis—including in‐source annotations, per‐source summaries, and cross‐source syntheses—as well as effortful processes for nonlinear progression of these intermediate products towards a final synthesis product. These products and practices were also embedded in a complex ecology of creative re‐appropriated tools. This work enriches understanding of the complex scholarly practices that produce synthesis and opens up a research agenda for understanding and supporting scholarly synthesis more generally. [ABSTRACT FROM AUTHOR]

As a data intensive field that unites researchers from many disciplines, Earth System Science (ESS) is an ideal site for examining evolving cross‐disciplinary data practices. This paper reports on results from a survey examining data sharing, data reuse, and research reproducibility practices of ESS researchers, aimed at informing improvements in data services for interdisciplinary sciences. Data reuse was found to be very high for new and comparative analyses but very limited for reproducing research. Data sharing was also strong, mostly through supplements to published papers, with moderate use of open access repositories. At the same time, there was interesting variability in both data sharing and reuse among ESS disciplines. The most pronounced challenges to reuse and reproducibility stem from limited documentation on how data are collected and managed, practices that are poorly supported by institutions, funders, and publishers. A more refined approach to "reproducibility" is needed that aligns with priorities and practices within the research community. Just as importantly, advances in data service models for ESS and other interdisciplinary fields need to account for the diverse and distributed system of repositories and build a workforce with deeper knowledge of the complex data and methods that drive integrative systems science. [ABSTRACT FROM AUTHOR]

In scientific research, laboratory (lab) notebooks have traditionally been used to record experiments and their results. Lab notebooks also act as an important record of the generation, processing and analysis of data over the research data lifecycle. As research data becomes increasingly digitized and voluminous, it becomes harder to record and describe research data, especially in paper lab notebooks (PLNs). This paper addresses the challenges of recording contemporary research data in lab notebooks and discusses the requirements in lab notebooks for describing research data. Two basic requirements of lab notebooks are the completeness of the data description and the ability to link the experiment records with their corresponding research datasets. Descriptions of research data should also document the provenance of the research data so that the original data can be retrieved. Guidelines for consistent file naming and systematic directory structures for saved research data can support efficient research data retrieval. [ABSTRACT FROM AUTHOR]

Professional academic writing skills can improve the validity of scholarly communication. Aiming to reveal the generational differences of academic writing patterns, by applying quantitative linguistic analysis to explore 53 information scientists in China and 2,328 papers of them, we found that (1) the writing pattern evolves smoothly, (2) sentences that scientists compose in a paper have become longer and longer, and syntax has become more and more complex as time goes by, and (3) scientists tend to be more and more cautious on choosing expression manners and norm words. This research will continue the matters of exact relationships between the age differences and writing patterns, and will be extended to other languages. [ABSTRACT FROM AUTHOR]

This study identifies immediate impact disciplines and journals by using a new indicator, which combines the journal impact factor (JIF), five‐year impact factor (5‐year IF), and immediacy index (II). Although the numbers of immediate impact journals in both the natural sciences (NS) and social sciences (SS) have increased, NS disciplines have a higher average level of immediate impact than SS disciplines. Among 12,272 NS and SS journals indexed by the 2020 version of Journal Citation Reports, most (62.7%) exhibited the highest value of journal impact in 5‐year IF and lowest value in II, followed by journals with a JIF value higher than that of 5‐year IF (34.3%). Although only 113 journals (0.9%), including SS journals, had the highest value in II and the lowest value in 5‐year IF, the finding rejects the stereotype regarding the nonimmediate impact of SS journals. [ABSTRACT FROM AUTHOR]

This poster describes a research project in progress to map the historical and current published and grey literature of the field of knowledge management/knowledge sciences. The research describes the mapping of 11,820 JASIS papers to the landscape of knowledge sciences. The mapping is grounded on the automated classification and automated indexing of the individual papers leveraging a semantic profile and the SAS Content Categorization Suite. The semantic profile was created from the knowledge sciences classification scheme and thesaurus developed by Bedford (2015). The results suggest that JASIS papers and the research being published by ASIST members have some alignment with the field of knowledge sciences. The research is concentrated in three primary facets, including (1) Knowledge Asset Management; (2) Knowledge Technologies; and (3) Communities and Collaboration. Within these three facets there are clear pockets of concentration. The results further suggest that the research methodology can be applied to other sources. [ABSTRACT FROM AUTHOR]

Scientific literature is one of the most significant resources for sharing knowledge. Researchers turn to scientific literature as a first step in designing an experiment. Given the extensive and growing volume of literature, the common approach of reading and manually extracting knowledge is too time consuming, creating a bottleneck in the research cycle. This challenge spans nearly every scientific domain. For the materials science, experimental data distributed across millions of publications are extremely helpful for predicting materials properties and the design of novel materials. However, only recently researchers have explored computational approaches for knowledge extraction primarily for inorganic materials. This study aims to explore knowledge extraction for organic materials. We built a research dataset composed of 855 annotated and 708,376 unannotated sentences drawn from 92,667 abstracts. We used named‐entity‐recognition (NER) with BiLSTM‐CNN‐CRF deep learning model to automatically extract key knowledge from literature. Early‐phase results show a high potential for automated knowledge extraction. The paper presents our findings and a framework for supervised knowledge extraction that can be adapted to other scientific domains. [ABSTRACT FROM AUTHOR]

Representing archival metadata as linked data can increase the findability and usability of items, and linked data sources such as Wikidata can be used to further enrich existing collection metadata. However, a central challenge to this process is the named entity disambiguation or entity linking that is required to ensure that the named entities in a collection are being properly matched to Wikidata entities so that any additional metadata is applied correctly. This paper details our experimentation with one entity linking system called OpenTapioca, which was chosen for its use of Wikidata and its accessibility to librarians and archivists with minimal technical intervention. We discuss the results of using OpenTapioca for named entity disambiguation on the Belfer Cylinders Collection from the Special Collections Research Center at Syracuse University, highlighting the successes and limitations of the system and of using Wikidata as a knowledge base. [ABSTRACT FROM AUTHOR]

This paper is the initial discussion of a larger project Tattoo and Information, exploring tattoos as an information and communication phenomenon from multicultural perspectives and various use purposes. The overall purpose of the project is to provide insight into information seeking and experience in the context of tattoos to identify information literacy, visual literacy and cultural literacy skills as well as communications skills necessary for a successful tattoo experience in Aotearoa New Zealand. In this paper, we present findings from the literature review accompanied by preliminary insights from four interviews. The findings reflect thematic areas of research focusing on tattoos and gaps that exist. We used interviews to capture what topics emerge from tattoo narratives and whether they align with topics and gaps identified in the literature review. Based on the findings, we identify areas for future research. [ABSTRACT FROM AUTHOR]

This paper describes a method for improved access to publisher references in linked data RDF editors using data mining techniques and a large corpus of library metadata encoded in the MARC21 standard. The corpus is comprised of clustered sets of publishers and publisher locations from the library MARC21 records found in the Platform for Open Data (POD). POD is a data aggregation project involving member institutions of the IvyPlus Library Confederation and contains seventy million MARC21 records, forty million of which are unique. The discovery of publisher entity sets described forms the basis for the streamlined description of BIBFRAME Instance entities. The result of this work includes a database of association rules and RDF editor improvements. The association rules are the basis of a prototype autosuggestion feature of BIBFRAME Instance entity description properties designed specifically to support the auto‐population of publisher entities in linked data RDF editors. [ABSTRACT FROM AUTHOR]

Artificial Intelligence (AI) systems are embedded in institutions that are not diverse, that are inequitable, unjust, and exclusionary. How do we address the interface between AI systems and an unjust world, in service to human flourishing? One mechanism for addressing AI Ethics is AI Ethics Education: training those who will build, use, and/or be subject to AI systems to have clear moral reasoning, make responsible decisions, and take right actions. This paper presents, as part of a larger project, work on what AI Ethics instructors currently do and how they describe their motivating concerns. I find that although AI Ethics content and pedagogy is varied, there are some common motivating concerns particular to this kind of teaching, which may be useful in structuring future guidance for new AI Ethics teachers, evaluating existing pedagogy, guiding research on new pedagogies, and promoting discussion with the AI Ethics community. [ABSTRACT FROM AUTHOR]

This paper is among the first to investigate information work concepts in the archival context. A qualitative case study, it relies on two rounds of semi‐structured interviews with information professionals at medical history collections in Philadelphia. These interviews bracketed the six months before and after COVID‐19's onset. We analyze three lines of information work that evolved as these archivists shifted the work context to their home environments: affective effort, information management, and hybrid onsite‐remote work performance. Findings suggest that tasks such as processing, digitizing, and curating resources (invisible pre‐pandemic) and reference services (visible pre‐pandemic) overlap in archivists' hybrid onsite‐remote work performance during the pandemic. In recognizing the links between archivists' information work and work performance as a holistic approach to studies of the information‐intensive archival context, this research has implications for the centrality of work context, purpose, and value in the archival context. [ABSTRACT FROM AUTHOR]

Members of the Lesbian, Gay, Bisexual, Transgender, Queer/Questioning, plus (LGBTQ+) community may face discrimination in healthcare, which can subsequently impact information and care‐seeking patterns. A tendency to avoid or delay health care is particularly concerning for LGBTQ+ people who face both physical and mental health disparities. This paper presents a literature review of literature on healthcare discrimination, LGBTQ+ care‐seeking, and associated information behaviors in order to generate a preliminary model of LGBTQ+ decision‐making around care and well‐being, called the Model of the Pathways to LGBTQ+ Well‐Being. This model can be used to investigate links between information behavior and relevant health behaviors and outcomes in a marginalized population. [ABSTRACT FROM AUTHOR]

There is an increasing uptake of digital technologies across African countries. Public, private, and government services have adopted and utilized digital technologies to improve work processes, productivity, create jobs, and better service delivery. This short paper seeks to answer these questions: What is the current state of digital readiness in African countries? Do existing digital readiness assessment tools, indicators, or metrics, help to assess the digital readiness of countries in Africa? Analysis of publicly available data from Cisco index of readiness score and Broadband speed ranking by cable.co.uk, reveal that: 1) African countries' digital readiness score is below the global average of 11.96, on a scale of 0 to 25 (except Tunisia with readiness average score of 12.05); and 2) African countries' broadband speed is below the global mean speed of 25Mbps (mean speed of 4.51 and 3.80 Mbps for sub‐Saharan Africa and North Africa, respectively). Second, analysis of various assessment tools show that the existing metrics can't be used as is to diagnose and evaluate Africa's digital readiness. Instead factors such as availability of adequate infrastructure; last‐mile connectivity to homes, schools, businesses, and government agencies; and skill gaps should be considered. The implications of this study are to show the need for an appropriate assessment tools so countries in Africa prioritize efforts to embrace digital readiness. [ABSTRACT FROM AUTHOR]

This paper reports on the development of a metadata application profile (AP), MetaFAIR, designed to support research data management (RDM) to make research data findable, accessible, interoperable, and reusable. The development of MetaFAIR followed a three‐step process that included learning about the characteristics of datasets from researchers to establish their context and requirements, as well as iterative design and testing with researchers' feedback. Guided by the FAIR principles (Findability, Accessibility, Interoperability, and Reusability), MetaFAIR focuses on accommodating description needs particular to computational social science datasets while seeking to provide general enough elements to describe data collections across many different domains. In this paper, MetaFAIR is placed in the context of historical and recent developments in the areas of RDM and application profile creation; following this contextualization, the paper describes the central considerations and challenges of the MetaFAIR development process and discusses its significance for future work in RDM. [ABSTRACT FROM AUTHOR]

This paper examines clinical notes to identify reported symptoms and investigate patient‐provider communication processes in alpha‐gal syndrome (AGS). Clinical notes appear to be a credible and stable source of research where the researcher can find information regarding both symptoms and environmental factors of AGS. Compilation of notes could be used for a checklist to aid in diagnosis. This study analyzed clinicians' notes in patient records retrieved from the Electronic Medical Record Search Engine (EMERSE). The most reported symptoms fell into four general categories: skin (42%), inflammation (17%), gastrointestinal (20%), and anaphylaxis (21%). Environmental triggers were also commonly reported. This in‐depth analysis of clinical notes of AGS can serve as a basis for future automation of rare disease analysis; moreover, it provides a basic understanding of the granularity of information that an electronic health record (EHR) may provide for rare disease identification. [ABSTRACT FROM AUTHOR]

Much of the literature in knowledge discovery from data (KDD) focuses on algorithms that are faster and more accurate at capturing patterns in a given data set. However, answering a research question is fundamentally connected with how well the data is aligned with the questions being asked. Thus, data selection is one of the most important steps to ensure that models produced from the KDD process are useful in practice. A lack of documentation about the data selection rationale and the transformations needed to semantically align the data streams prevents others from reproducing the research and obfuscates development of best practices in data integration. Our goal in this paper is to provide KDD practitioners with a framework that brings together theories in provenance, information quality, and contextual reasoning, to enable researchers to achieve a semantically aligned dataset with data selection, description, and documentation based on an application‐focused assessment. [ABSTRACT FROM AUTHOR]

What is the thermal conductivity of copper? This straightforward question leads to a fascinating instance of the production of scientific facts through documentation practices. Ho, Powell and Liley's 1974 The Thermal Conductivity of the Elements: A Comprehensive Review is examined as an artifact of scientific reference data production, and its answer to the initial question is traced to modern‐day search engine results. A short history of the Center that produced the book and some initial research into its authors is provided. Kuhn's concepts of normal science and normic lexical structures are utilized to clarify the Comprehensive Review's functioning within the broader scientific fields in which it is utilized. Bowker's concepts of memory practices and the jussive Archive help identify the forgetting embedded in the production of reference data, producing what Star called global certainty. Far from impugning the internal validity of these scientific facts, this forgetting is shown to be licensed by scientific rigor. This paper presents a novel historically informed investigation of how documentation practices produce scientific facts, and connect these activities to modern‐day knowledge graph information retrieval. The theoretical analyses provided show how scientifically licensed forgetting is a key mechanism of fact production, what Hayles termed constrained constructivism. [ABSTRACT FROM AUTHOR]

Youth information interaction (YII) research has focused on challenges youth encounter when interacting with information across different contexts. Although these studies have been fundamental to outline youth information behaviour, the absence of YII theoretical frameworks might limit our approach to contemporary issues, such as the increased use of apps and mobile devices for information searching. This paper presents a conceptual analysis of studies conducted between 1997–2020 to explore predominant epistemological stances and cognitive frameworks in YII. The conceptual analysis generated five typologies operationalizing YII studies in seven categories: epistemological stance, knowledge assumption, cognitive framework, study type, study design, theoretical framework, study outcomes, and applications. The findings suggest that YII research have converged to empiricist and rationalist stances supporting exploratory approaches. These findings elicit the urgency for the development of theoretical frameworks that support the validity of YII phenomena with the purpose of developing a new agenda for YII research. [ABSTRACT FROM AUTHOR]

This paper brings concepts from social practice theory into conversation with the question of how information practices relate to one another. In doing so, this paper speaks to the persistent challenge of articulating interconnections among information practices. To illustrate these interconnections, the paper presents the concept of embodied mutual constitution, which results from a recent empirical study of everyday information practices. This concept holds potential as a next step in identifying how multiple co‐existing information practices can be explored. By contributing in this way to the advancement of information practices theory, this paper supports our expanding understanding of the nature and role of information in diverse life experiences. [ABSTRACT FROM AUTHOR]

The digitization, curation, and utilization of Chinese ancient books are crucial to the digital humanities. Despite progress in these areas, issues with data interoperability, data sharing, and data linkage persist due to a lack of standardized annotated ancient corpus and a general description framework for ancient books. To overcome these challenges, this paper proposes an ontology‐based description framework that integrates catalogs of Chinese ancient books from various institutions, creating a standardized, interpretable, and researchable knowledge base. The framework combines general standards with unique ancient book characteristics, revealing complex relationships between books and books, books and people, and books and times, providing a more comprehensive understanding of the knowledge contained within ancient books. Additionally, this paper applied the framework to The National Rare Ancient Book Directory, a catalog containing 13,026 books from over 400 institutes, to develop an interactive system. The system is available at https://rarebib.pkudh.org/. Our results demonstrate that the framework standardizes data and provides a sophisticated and nuanced understanding of the knowledge within ancient books. This has noteworthy implications for individuals engaged in research, scholarship, and reading in the digital age. [ABSTRACT FROM AUTHOR]

The research reported in this paper is part of a larger project focusing on the iSchools' identity and interactions in a globalized world. This paper presents the research management strategy for conducting a global research project among international research communities, and for investigating the current research focus of iSchools members based on the insights of global iSchools' leaders. It found that information management was the dominant research area and that digital humanities, data science, and "informatics+ scenarios" are the key growth points. The most significant contribution of iSchools to society lies in social services. The research focuses on and benefits worldwide iSchools by outlining development strategies and strengthening the connection between research and society to increase social awareness, influence and reputation. [ABSTRACT FROM AUTHOR]

While accessibility is a core part of diversity, equity, inclusion, accessibility, and social justice (DEIASJ) considerations, disability and accessibility are rarely centered in Library and Information Science (LIS) curricula. The lack of disability and accessibility coverage is problematic since information professionals must have the required knowledge and skills to effectively serve patrons with disabilities. This paper presents preliminary findings from a content analysis of 39 pre‐filtered syllabi examining how disability and accessibility topics are covered in LIS courses. While nearly all of the syllabi analyzed contained a high level of detail, only 13 were ultimately determined to contain a "partial" depth of coverage of disability‐ and accessibility‐related content and two a "detailed" level of coverage. Even fewer syllabi included a conceptualization of disability or accessibility beyond simply including the words alone. The paper offers suggestions for LIS instructors to better address disability and accessibility within their syllabi and course content. [ABSTRACT FROM AUTHOR]

This short paper presents an analysis of the distribution of downloads in medical literature, with the aim of understanding the specific conditions unique to the medical research field that necessitate the use of black open access sources such as Sci‐Hub. The dataset used in this analysis was obtained by scraping the official Sci‐Hub domains during the summer of 2022, and it provides valuable insights into user behavior and interaction with the website. The results demonstrate that a significant portion of the downloads from Sci‐Hub during the period were related to medical journals, indicating the acute needs and time‐sensitive nature of medical research. The data further highlights that most of the downloaded papers were related to medicine or medical subjects, underscoring the importance of easy and immediate access to the latest research and literature. The study emphasizes the pressing need for universal access to essential health‐care information and the importance of continued efforts to democratize access to medical literature. The use of black open access sources like Sci‐Hub serves as a reminder of the urgency to find alternative solutions that ensure medical professionals have the necessary resources to provide the best possible care for their patients [ABSTRACT FROM AUTHOR]

This paper presents the history, internal processes, and finalized report of the Trans Metadata Collective (TMDC), founded to address the lack of attention paid to trans and gender diverse issues in galleries, archives, libraries, museums, and special collections (GLAMS). The TMDC, an ad‐hoc group of nearly a hundred information professionals, developed best practices for the description and classification of trans and gender diverse information resources. These guidelines prioritize transparency, cultural sensitivity, correct identification, explicit descriptions of transphobia, and regular assessment of trans‐related content. It examines the effects of commonly used standards and controlled vocabularies such as Resource Description and Access (RDA) and Library of Congress Subject Headings (LCSH) on trans and gender diverse people and critiques the inadequacy of these standards' representation of those communities. The TMDC provides guidance for using existing LCSHs, recommends alternative subject vocabularies, and proposes revisions to improve representation. The paper advocates individual agency in naming and gender identification, with recommendations on contacting creators and documenting their preferences. The TMDC emphasizes the importance of minimizing potential harm and protecting privacy in metadata creation. Overall, the report aims to enhance the representation and inclusion of trans and gender diverse communities in GLAMS institutions. [ABSTRACT FROM AUTHOR]

As part of a larger project, this paper reports on preliminary findings of a study exploring use cases of ChatGPT and associated behaviors and experiences among users of an online forum. Posts on a ChatGPT‐related forum on Reddit (n = 452) were analyzed using qualitative content analysis. This paper reports on themes relevant to this study, including the types of tasks for which users used ChatGPT, user experiences, and perceived impacts of ChatGPT. ChatGPT was often used to facilitate various writing tasks (e.g., writing an essay), academic tasks (e.g., finding scientific references for a research paper), everyday tasks (e.g., creating a meal plan), and conversational purposes (e.g., having a simulated conversation about a past event). Users expressed positive (e.g., excited, amazed) and negative (e.g., fooled, concerned) feelings toward the technology. They raised various issues and problems with ChatGPT at the content (e.g., inaccuracy, incompletes) and system (e.g., unavailability, instability) levels. Users discussed the perceived impacts of ChatGPT on individuals (e.g., unemployment) and society (e.g., AI divide). Study findings can inform the design of policies and guidelines for mitigating AI problems and promoting the effective and ethical use of emerging AI technologies. [ABSTRACT FROM AUTHOR]

In this concept paper, we make the case that variables related to reading and comprehension are relevant to the design of searching as learning environments. We propose that measures of cohesion – the lexical and grammatical connectedness within and between texts – be used as signals in retrieval and ranking algorithms for such environments, as cohesion is an important factor in text comprehension and learning. In illustrating this concept, we introduce a use case for learning‐oriented search in which the task is to retrieve a multi‐document set that functions as a spontaneous learning environment. For this task, features of the document set as a whole are important in addition to features of individual documents. In this paper, we focus on the goals of achieving a mid‐range level of readability and cohesion across a set of texts in order to balance comprehensibility with challenge and stimulation. [ABSTRACT FROM AUTHOR]

The citation of scientific papers is considered a simple and direct indicator of papers' impact. This paper predicts papers' citations through team‐related variables, team composition, and team structure. Team composition includes team size, male/female dominance, academia/industry collaboration, unique race number, and unique country number. Team structures are made up of team power level and team power hierarchy. Team members' previous citation number, H‐index, previous collaborators, career age, and previous paper numbers are a proxy of team power. We calculated the mean value and Gini coefficient to represent team power level (the collective team capability) and team power hierarchy (the vertical difference of power distribution within a team). Taking 1,675,035 CS teams in the DBLP dataset, we trained the XGBoost model to predict high/low citation. Our model has reached 0.71 in AUC and 70.45% in accuracy rate. Utilizing Explainable AI method SHAP to evaluate features' relative importance in predicting team citation categories, we found that team structure plays a more critical role than team composition in predicting team citation. High team power level, flat team power structure, diverse race background, large team, collaboration with industry, and male‐dominated teams can bring higher team citations. Our project can provide insights into how to form the best scientific teams and maximize team impact from team composition and team structure. [ABSTRACT FROM AUTHOR]

The cross‐domain knowledge diffusion from science to policy is a prevalent phenomenon that demands academic attention. To investigate the characteristics of cross‐domain knowledge diffusion from science to policy, this study suggests using the citation of policies to scientific articles as a basis for quantifying the diffusion strength, breadth, and speed. The study reveals that the strength and breadth of cross‐domain knowledge diffusion from scientific papers to policies conform to a power‐law distribution, while the speed follows a logarithmic normal distribution. Moreover, the papers with the highest diffusion strength, breadth, and fastest diffusion speed are predominantly from world‐renowned universities, scholars, and top journals. The papers with the highest diffusion strength and breadth are mostly from social sciences, especially economics, those with the fastest diffusion speed are mainly from medical and life sciences, followed by social sciences. The findings indicate that cross‐domain knowledge diffusion from science to policy follows the Matthew effect, whereby individuals or institutions with high academic achievements are more likely to achieve successful cross‐domain knowledge diffusion. Furthermore, papers in the field of economics tend to have the higher cross‐domain knowledge diffusion strength and breadth, while those in medical and life sciences have the faster cross‐domain knowledge diffusion speed. [ABSTRACT FROM AUTHOR]

This paper explores the social and technical perceptions of physical and digital formats as they relate to work in the recovery and reuse of scientific data, specifically historical, archival, and defunct data sources. Proprietary and obsolete formats, or formats that need significant transformation work, stand out as central challenges for scientists and data curators who are recovering reusable data from archival or legacy data sources. The challenges confronting data sharing and reuse of contemporary scientific data are already known to be myriad; formats often pose a major, compounding challenge to retrospective data curation research and practice. Based on 23 qualitative interviews with practitioners conducting data recovery and reuse, ranging from marine biologists to data librarians, we study how they understand, engage with, and utilize formats within their data curation work. This paper enumerates the formats deployed throughout the scientific data curation process and explores how practitioners creating and curating scientific data based on historical and archival materials encounter, make sense of, and utilize formats. The paper focuses on practitioner perceptions of formats around the following themes: how practitioners' historical relationships to certain challenging formats inform their ongoing curation practices; the importance of contexts in prioritizing or ignoring formats within scientific curation work; and how formats reveal larger sociotechnical issues. The paper concludes by with practical and theoretical implications of navigating formats within the recovery and reuse of scientific data and offers suggestions for reconfiguring formats within broader data curation lifecycles. [ABSTRACT FROM AUTHOR]

The goals of open science are driven by policies requiring data management, sharing, and accessibility. One way of measuring the impact of open science policies on scientific knowledge is to access data that has been prepared for re‐use. But how accessible/available are data resources? In this paper, we discuss a method for exploring and locating datasets made available by scientists from federally funded projects in the US. The data pathways method was tested on federal awards. Here we describe the method and the results from analyzing fifty federal awards granted by the National Science Foundation to pursue data resources and their availability in publications, data repositories, or institutional repositories. The data pathways approach contributes to the development of a practical approach on availability that captures the current ways in which data are accessible from federally funded science projects –ranging from institutional repositories, journal data deposit, PI and project web pages, and science data platforms, among other found possibilities. This paper discusses some background and motivations for such a method, the method, research design, barriers encountered when searching for data resources from projects, and how this method can be useful to future studies of data availability. [ABSTRACT FROM AUTHOR]