bluuebunny/crossref_metadata_2025_split huggingface dataset:
Thermo‐mechanical properties of rosin‐modified o‐cresol novolac epoxy thermosets comprising rosin‐based imidoamine curing agents
Authors: Thakur Tamanna , Jaswal Shipra , Gaur Bharti , Singha Amar Singh 
Published: October 2020

AbstractRosin‐modified o‐cresol novolac epoxy resin (AEOCN) was synthesized by condensation of rosin acid with o‐cresol formaldehyde novolac resin (AOCN). The AEOCN resin was further epoxidized using epichlorohydrin and sodium hydroxide. Rosin‐based imidoamine curing agents (IAMDK, IASDK, and IAEDK) were also prepared by reacting dimaleopimaryl ketone (DMPK), a dimerized rosin product with aromatic diamines. The chemical structures of all synthesized products were confirmed by FTIR,1H‐NMR,13C‐NMR, and DEPT‐135° spectroscopic techniques. The curing process of rosin‐modified epoxy cured with imidoamine crosslinkers was studied using differential scanning calorimetry (DSC) and the results were compared to o‐cresol novolac epoxy resin (EOCN) and some previously reported commercial‐based systems. The thermal and mechanical properties of the cured epoxy thermosets were determined using a thermogravimetric analyzer (TGA) and a universal testing machine (UTM), respectively. The chemical resistance analysis was carried out by immersing cured epoxy coated panels in 1M NaOH, 1MHCl, and 1M NaCl solutions. The results were evaluated in terms of % weight loss method and the morphological changes that appeared due to chemical exposure were also investigated via scanning electron microscopy (SEM). This study presents the economical synthetic approach towards high‐performance bio‐based epoxy coating materials impending to replace some of the petrochemical compounds in coating industries.
An exploration of determinants of cyberchondria: A moderated mediation analysis
Authors: Zheng Han , Chen Xiaoyu , Fu Shaoxiong 
Published: October 2020

AbstractCyberchondria describes excessive or repeated health‐related information seeking on the Internet that is associated with increased emotional distress. Research on cyberchondria is still nascent. This study aims to propose a moderated mediation model to examine the relationships among intolerance of uncertainty, affective responses, e‐health literacy, and cyberchondria. Based on an online survey of 426 participants in China, the results suggest that intolerance of uncertainty is positively associated with cyberchondria, and affective responses partially mediate this association. Additionally, e‐health literacy negatively moderates the effect of affective responses on cyberchondria. Implications and limitations of this study are discussed.
Cross‐disciplinary data practices in earth system science: Aligning services with reuse and reproducibility priorities
Authors: Yan An , Huang Caihong , Lee Jian‐Sin , Palmer Carole L. 
Published: October 2020

AbstractAs 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.
Journal of the Association for Information Science and Technology: Analysis of two decades of published research
Authors: Agarwal Naresh K. , Islam Md Anwarul 
Published: October 2020

AbstractThe Journal of the Association for Information Science & Technology (JASIST) is a leading information science journal, recognized by many ranking metrics. Understanding patterns in articles published would be helpful to new researchers seeking to publish with the journal. However, the last comprehensive bibliometric analysis on JASIST is more than a decade old. The objective of this paper is to analyze the bibliographic information of full‐length research articles published in JASIST during the last two decades. This includes metrics such as article count, authorship, international collaboration, citations, and topical areas. Data was collected from SCOPUS, JASIST website, and Scimago. The findings show that JASIST published 3,052 articles during 2000–2020, which got cited 180,608 times (59.18 times per article) to date. Joint authorship and international collaboration has been increasing. Authors from institutions in 70 countries have published, with most articles from USA, with authorship from China steadily increasing in recent years. The detailed findings in the paper would help information science researchers and practitioners to assess the areas of focus, and various patterns in a top journal of the field. Such historical understanding is critical in charting agendas and directions for future research.
Uncovering temporal differences in COVID‐19 tweets
Authors: Zheng Han , Goh Dion H.‐L. , Lee Chei S. , Lee Edmund W. J. , Theng Yin L. 
Published: October 2020

AbstractIn the fight against the COVID‐19 pandemic, understanding how the public responds to various initiatives is an important step in assessing current and future policy implementations. In this paper, we analyzed Twitter tweets using topic modeling to uncover the issues surrounding people's discussion of the disease. Our focus was on temporal differences in topics, prior and after the declaration of COVID‐19 as a pandemic. Nine topics were identified in our analysis, each of which showed distinct levels of discussion over time. Our results suggest that as the pandemic progresses, the concerns of the public vary as new developments come to light.
Libraries and the UN Sustainable Development Goals: The past, present, and future
Authors: Cyr Christopher , Connaway Lynn Silipigni 
Published: October 2020

AbstractThis paper presents initial research from a broader project about the impact of libraries on the United Nations (UN) Sustainable Development Goals (SDGs). In 2015, the UN launched the SDGs, a set of 17 goals for global development by the year 2030. Librarians helped shape the inclusion of access to information in these goals and are involved in furthering them through providing access to information. The OCLC Global Council has selected the SDGs as its area of focus for 2020 and is formulating a research program that will identify and advocate for the ways that libraries can help further the SDGs. This paper details the history of the SDGs and the role that librarians played in shaping them. It shows examples of ways that librarians and library initiatives have helped further them through providing access to information and information literacy skills. Finally, it offers suggestions for ways that library leaders could structure their information activates around the SDGs, based on data from a survey of OCLC Global Council delegates.
An ontology automation construction scheme for Chinese e‐government thesaurus optimizing
Authors: Wang Hao , Zhang Wei , Deng Sanhong , Zhang Baolong 
Published: October 2020

AbstractTo optimize the term hierarchy in the manual e‐government thesaurus, we combine the mainstream knowledge organization technology to form a complete set of ontology automation construction scheme. We build an e‐government knowledge base by using subject words in the Comprehensive E‐government Thesaurus as the term set and encyclopedia text as the corpus. The specific work includes the extraction of semantic features from the bag‐of‐words model, determination of the number of clusters by linear and nonlinear dimensionality reduction, division of terms by spectral clustering, social network analysis to determine the class label, and storing knowledge ontology via OWL. The recall rate of term hierarchy in the ontology is excellent, indicating the ontology has good knowledge extensibility, and also proving the efficiency of the scheme proposed in this work. Besides, the application model of a term hierarchy in information retrieval can show a richer semantic relation than the original thesaurus to guide the retrieval extension of government information resources.
What we can learn from information flows about COVID‐19: Implications for research and practice
Authors: Afzal Waseem 
Published: October 2020

ABSTRACTCOVID‐19 has become a global pandemic affecting billions of people. Its impact on societies worldwide will be felt for years to come. The purpose of this research is to examine information flows about COVID‐19 to understand the information‐specific underpinnings that are shaping understandings of this crisis. As a starting point, this research analyzes information about COVID‐19 from a selection of information sources, including the World Health Organization (WHO), the National Health Commission of the People's Republic of China (NHCPRC), and three news outlets with vast global coverage. The analysis reveals some distinctive information underpinnings about COVID‐19, including (a) flows of information becoming regular and larger around certain dates, (b) preponderance of information imperfections such as incomplete information, misinformation, and disinformation, and (c) absence of information about some key turning points. The implications of these information imperfections in that they create information failures and, hence, ineffective approaches to dealing with this crisis warrant further investigation.
Searching Covid‐19 by linguistic register: Parallels and warrant for a new retrieval model
Authors: Benoît G. 
Published: October 2020

AbstractKeeping informed given rapid trend in data and resources about covid‐19 is a new challenge. Different user groups (researchers/doctors, practitioners, public) vary in linguistic expression and vocabulary so a new retrieval framework might likewise vary to improve retrieval, expose unanticipated concepts, and establish a sustainable research stream. In this project a document collection about covid‐19 was created, parsed according to ISO12620's definition of linguistic register, and retrieval sets compared. Results suggest trends from other fields parallel register‐oriented criteria; project exposes unexpected concepts across groups, uses of visualization, and warrants ling‐register as a sustainable IR research stream.
“Predictive ads are not doctors”: Mental health tracking and technology companies
Authors: Costello Kaitlin L. , Floegel Diana 
Published: October 2020

AbstractAlthough using mobile phone apps to track and monitor mental health is increasingly popular, we know little about how and why people with mental health diagnoses use such technologies, nor do we know of concerns they may express about these apps. Further, automated assessments of mental health status, or digital phenotyping, are also on the rise; how people with mental health conditions feel about such technologies is also an underexplored area of research. This paper presents an exploratory interview study with 12 people that begins to address these gaps. We focus specifically on how participants, who all have been diagnosed mental health conditions, perceive tech companies' involvement with existing mental health apps and mental health digital phenotyping. We find that participants satisfice in order to interact with existing mood tracking apps, and that they are wary of digital phenotyping for mental health diagnostics. Participants raise concerns related to profit motives, distrust, and fatalism in both cases, and they recommend regulations that may be put in place to keep tech companies in check. Though participants describe regulatory policies that may mitigate their concerns, we question whether regulations can truly foster sustainable interactions with mental health apps operated by technology companies.
Data to knowledge in action: A longitudinal analysis of GenBank metadata
Authors: Hemsley Jeff , Qin Jian , Bratt Sarah E. 
Published: October 2020

AbstractStudies typically use publication‐based authorship data to study the relationships between collaboration networks and knowledge diffusion. However, collaboration in research often starts long before publication with data production efforts. In this project we ask how collaboration in data production networks affects and contributes to knowledge diffusion, as represented by patents, another form of knowledge diffusion. We drew our data from the metadata associated with genetic sequence records stored in the National Institutes of Health's GenBank database. After constructing networks for each year and aggregating summary statistics, regressions were used to test several hypotheses. Key among our findings is that data production team size is positively related to the number of patents each year. Also, when actors on average have more links, we tend to see more patents. Our study contributes in the area of science of science by highlighting the important role of data production in the diffusion of knowledge as measured by patents.
Do neutral names have an influence on scientists' research impact
Authors: Zhang Ning , Li Jiang 
Published: October 2020

AbstractThe 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.
Information science identity: Students' perspective
Authors: Ma Yuanye , Goray Cami 
Published: October 2020

AbstractWe present a qualitative study that maps Library and Information Science (LIS) students' understanding of their information science identity. The mapping is achieved through exploring multiple aspects of this identity, including students' conceptualization of the field and related disciplines, their evaluation of coursework, and their future career expectations. Twelve semi‐structured interviews were conducted with undergraduate and graduate LIS students in the spring of 2020. Five themes were identified through the coding process, which include: how students conceptualized the field in general, the people focus in information science, students' explicit expression of difficulty in describing the field, coursework representative of information science, and how students relate information science studies to their intended career path. Leveraging the students' perspective to frame this identity question is valuable, because it offers an opportunity to understand the Library and Information Science identity in its formative stages.
Transforming and sustaining information science education: A conversation to begin the asistED podcast
Authors: Pollock Danielle , Demasson Andrew , Zhang Mei , Williams Rachel , Maurici Arthur 
Published: October 2020

AbstractThe COVID‐19 global pandemic necessitated sudden, large scale transformations in higher education, as many institutions and programs were forced to leverage their existing technological resources and expertise to manage a rapid shift to delivering education in an online‐only environment. In the short term, the shift required creativity, quick thinking, and in many cases, adaptations that were less than ideal. In wake of that semester, the conversation has now shifted to how to best manage sustained transformation of higher education in the face of these new realities. This, too, will take creativity and leveraging of technology and expertise. This alternative event represents an interactive conversation with information science education professionals about transformation experiences, the leveraging of new technologies, and the future of information science education. This event will also be the first episode of SIG ED's new podcast, asistED: The Information Science Education Podcast, itself developed as a creative new way to offer a forum for conversation, connection, and continuing professional development focused on issues related to information science education. This event will be recorded for later download.
The role of the data paper in scholarly communication
Authors: Jiao Chenyue , Darch Peter T. 
Published: October 2020

AbstractData sharing and reuse promise many benefits to science, but many researchers are reluctant to share and reuse data. Data papers, published as peer‐reviewed articles that provide descriptive information about specific datasets, are a potential solution as they may incentivize sharing by providing a mechanism for data producers to get citation credit and support reuse by providing contextual information about dataset production. Data papers can receive many citations. However, does citation of a data paper mean reuse of the underlying dataset? This paper presents preliminary findings from a content‐based citation analysis of data papers (n = 103) published in two specialized data journals, one in earth sciences and one in physical and chemical sciences. We conclude that while the genre of data papers facilitates some data sharing and reuse, they fail to live up to their full potential. Further, practices of reuse of datasets from data papers vary considerably between disciplines. We propose measures for academic publishers to enhance the data paper's role in scholarly communication to attract more attention from researchers and to inform discipline‐specific policy and practices related to data publication.
Adapting research process models for the design of knowledge engineering applications
Authors: Keefer Donald A. , Wickett Karen M. 
Published: October 2020

AbstractTo design knowledge bases that effectively address desired reasoning goals, knowledge engineering requires a detailed description of information flow throughout the reasoning processes. Most existing workflow modeling technologies do not provide sufficient detail for projects where cognitive reasoning and field‐ or lab‐based data collection are important components. Research Process Modeling (RPM) was developed to support curation and data lifecycle needs, providing user‐targeted documentation on processes, agents, and artifacts, within research projects that include both computational and field‐ or lab‐based processes. We demonstrate the value of RPM to support the design of a knowledge engineering application within 3‐D geologic mapping, by documenting and describing information flow through a complex research project involving field‐, computation‐, and cognitive process‐generated data.
Mind the gap: Exploring differences between librarians’ and students’ perceptions of information literacy instruction
Authors: Julien Heidi , Gross Melissa , Latham Don 
Published: October 2020

AbstractA study of information literacy instruction (ILI) practices in community college libraries in the United States has included a survey of instructional librarians and interviews with students. The goals of the study were to examine how librarians’ ILI is being impacted by the ACRL Framework for Information Literacy in the community college context; to understand librarians’ perceptions of their students’ information literacy (IL) abilities; and, to explore students’ experiences of ILI and their perceptions of their IL abilities. The study revealed challenges facing community college librarians, as well as gaps between the librarians’ and students’ perceptions, pinpointing opportunities for instructional improvements.
Rural librarians' perspectives on makerspaces and community engagement
Authors: Kim Soo Hyeon , Copeland Andrea 
Published: October 2020

AbstractThis study investigates eight rural librarians' perspectives related to makerspaces, community engagement, and youth informal learning through cultural probes and semi‐structured interviews. Preliminary findings through content analysis suggest the importance of aligning the librarians and the youths' interests in making to support learning within library‐based makerspaces and highlight the need to support rural librarians to develop STEM competencies and strategic partnerships.
Effects of mobile instant messaging applications in the workplace
Authors: Lee Chei Sian , Ker Ernie Seng , Ng Chee Hong , Ye Jialing , Watson‐Manheim Mary‐Beth 
Published: October 2020

AbstractDespite the popularity of MIM applications in the workplace, little research has been done to understand the use of MIM applications at work. This initial study attempts to explore the effects of MIM on communication quality and Work‐Life‐Balance. Preliminary analysis from 166 participants indicated that the use of MIM did not compromise communication quality or Work‐Life‐Balance. Additionally, we also found that MIM applications facilitate information flow between work and personal domains.
Is it real? A study on detecting deepfake videos
Authors: Thaw Nyein Nyein , July Thin , Wai Aye Nu , Goh Dion Hoe‐Lian , Chua Alton Y.K. 
Published: October 2020

AbstractWe present an exploratory study of how people detect deepfake videos. Through watching a set of real and fake videos, and semi‐structured interviews, participants identified a set of characteristics such as blurred faces and unnatural voices, present in deepfake videos. A list of verification strategies, including checking other sources and repeated viewing, were also derived.
Collaborative information monitoring: Preliminary results of a systematic mixed studies review and a framework synthesis
Authors: Granikov Vera , El Sherif Reem , Bouthillier France , Pluye Pierre 
Published: October 2020

AbstractKeeping up to date is essential across professional fields, yet it remains a challenge. Collaboration may act as a facilitator, yet more knowledge is needed to see if, how, and why it could overcome the challenges of keeping up to date. This systematic mixed studies review, a work in progress, bridges the conceptual fields of information monitoring/environmental scanning with collaborative information seeking. Specifically, a “best fit” framework synthesis approach is used to identify potential factors and outcomes, and to adapt a model of environmental scanning to collaborative information monitoring.