bluuebunny/crossref_metadata_2025_split huggingface dataset:
U.S. state and state capital open government data (OGD): A content examination and heuristic evaluation of data processing capabilities of OGD sites
Authors: Tang Rong , Gregg Will , Hirsh Sandra , Hall Elaine 
Published: October 2019

ABSTRACTThis paper reports the results of a multi‐phased investigation into Open Government Data (OGD) sites in the United States. Upon searching and examining OGD sites by state and state capital, we outlined current OGD practice in the US. An inventory of data processing capabilities of 50 OGD sites uncovered the most frequently occurring data categories, search and filter options, raw datasets, data visualization displays, data extraction formats, interactive and map tools, and help functions provided through the OGD sites. Heuristic evaluation of 15 sites containing “Transportation” datasets revealed that main usability problems were violations to the principles of “Flexibility and Efficiency of Use,” “Help and Documentation,” and “Help users to recognize, diagnose and recover from errors.” Findings suggest that in order to sustain and achieve a good usage of OGD sites, a significantly better understanding of user populations, their data needs, and their data literacy levels is needed.
Exploring older adults' health information seeking behavior: Evidence from urban China
Authors: Zhao Dongxiang 
Published: October 2019

ABSTRACTIn order to achieve health self‐management and healthy aging, it has become an obvious trend for older adults to seek health information. The purpose of this poster is to present the results of a study implemented with thirty‐five older adults in urban China, designed to explore their health information seeking behavior. Semi‐structured interview and qualitative analysis were employed. The research results revealed the different preferences of older adults in urban China on the popularity and credibility of health information sources. The obstacles to their health information seeking behavior were mainly manifested in individual factors and social support. Additionally, the conceptual model was established, which described the factors influencing older adults' health information seeking behaviors and their relationships.
Argument ontology for describing scientific articles: A statistical study based on articles from two research areas
Authors: Zhou Huimin , Song Ningyuan , Cheng Hanghang , Wang Xiaoguang 
Published: October 2019

ABSTRACTThe research provides (1) an account of the construction of a new Scientific Argument Ontology (SAO), (2) a statistical analysis of 40 articles from both fields of Library and Information Science and Biomedical Research, and (3) a summary of important differences between the article structures common to each respective field of study and characteristics of their contents as revealed by applying SAO to conduct qualitative analysis. Ontology coverage ratios as well as the ratios of different classes and evidence types were calculated in the analysis. The results show a comprehensive coverage of SAO, while also indicate that the ontological construction of scientific arguments should fully consider the characteristics of their disciplines and fields in order to better facilitate extraction, discovery and retrieval.
Linking the thoughts within scientific papers: Construction and visualization of argumentation graph
Authors: Zhou Huimin , Song Ningyuan , Chang Wanli , Wang Xiaoguang 
Published: October 2019

ABSTRACTArgumentation structure within the content of scientific paper is the fundamental for proving scientific findings. Constructing the argumentation graph is an effective way to realize the visualization of argumentation structure and help users quickly understand the logical of papers. This study presents the method for constructing argumentation graph of scientific papers, includes an ontology for describing the scientific papers' argumentation structure, a process for deep semantic annotation and a mapping protocols for transforming the annotation results into graph structure by using Neo4J. The method was applied to construct an argumentation graph and the argumentation process retrieval was also realized. The result suggest that the argumentation graph could be benefit for the argumentation visualization and strategic reading of scientific papers.
“Computer what's your favourite colour?” children's information‐seeking strategies in the classroom
Authors: Vanderschantz Nicholas , Hinze Annika 
Published: October 2019

ABSTRACTThis research investigates children's information seeking in primary and intermediate school classrooms as seen by their teachers. We report the results of a series of semi‐structured interviews with teachers of pre‐teen children. The teachers discussed specific issues that children encounter during information search, including query construction and information triage difficulties. Further issues were identified during the interviews regarding motivation, frustration and poor strategies for overcoming barriers. We compare the results of our teacher interviews reported here with the results of an interview study with children. This paper concludes that even with significant advancements in technology, teachers and children still require further assistance in order to succeed in their inquiry practices.
Exploration of information organization in language archives
Authors: Burke Mary , Zavalina Oksana 
Published: October 2019

ABSTRACTThis submission reports preliminary results of the first stage of a research project that seeks to identify the information organization methods and techniques currently offered in the language data archives and the gaps between the tools and techniques available and the needs of actual and potential users of language data archives. We conducted an exploratory content analysis of the websites of the language archives (LAs) hosted by the institutions located in the United States and several other countries. The focus of our exploratory content analysis is on the information organization, including documentation on metadata standards, displaying of individual metadata records and availability of harvesting sets of metadata records, provision of advanced discovery and navigation options powered by metadata such as availability of adaptive and personalized search or social tagging functionality. Here, we report our preliminary findings and describe our plan for Stage 2 of the.
How were science mapping tools applied? the application of science mapping tools in LIS and non‐LIS domains
Authors: He Jiangen , Lou Wen , Li Kai 
Published: October 2019

ABSTRACTAs a scientific field, scientific mapping offers a set of standardized methods and tools that can be consistently adopted by researchers in different knowledge domains to answer their own research questions. This study examined scientific articles that applied science mapping tools (SMTs) to analyze scientific domains and the citations of these application articles. To understand the roles of these application articles in scholarly communication, we analyzed them and their citations by classifying them into library and information science (LIS) and other fields (non‐LIS) in terms of both publication venues and analyzed domains. Through our preliminary study, we found that science mapping, a topic that is deeply situated in the LIS field, has gained increasing attention from various non‐LIS scientific fields over the past few years. The application articles within and outside of the LIS fields played different roles in advancing the application of science mapping.
Modeling and representation of intangible cultural heritage knowledge using linked data and ontology
Authors: Hou Xilong , Wang Xiaoguang 
Published: October 2019

ABSTRACTIntangible cultural heritage (ICH) contains rich knowledge, and the effective organization and management of ICH knowledge is the foundation for the protection and inheritance of ICH. The development of semantic Web technology changes the way of knowledge representation and expression and provides new ideas and methods for the organizing and sharing of ICH knowledge. This paper describes a research project: to model and manage the ICH knowledge by publishing the knowledge as linked data. Firstly, a knowledge ontology was designed to reveal and standardize the concept, attribute and relationship of ICH knowledge elements. Then, we converted the knowledge to RDF data basted on the knowledge ontology and linked the entities with DBpedia and GeoNames. Finally, taking the ICH in Hubei province as an example, the methodology was used to create an RDF dataset which published as linked open data, and develop a knowledge service platform based on the linked data service. The research has promoted the standardization of knowledge management of ICH in China, which is of great significance for the protection and dissemination of ICH.
VR creation experience in cultural heritage education: A preliminary exploration
Authors: Hu Xiao , Ng Jeremy , Lee Jin Ha 
Published: October 2019

ABSTRACTDespite an increasing adoption of virtual reality (VR) in education, few studies have explored VR creation in cultural heritage education. This study aims to investigate students' experience of creating VR content featuring cultural heritage in an undergraduate general education course repurposed from a digital collection course. A survey was conducted with 87 students, collecting both close‐ended and open‐ended responses. A coding framework was designed to analyze students' open‐ended responses. Preliminary findings show that students were largely satisfied with the experience, which helped learners from diverse academic backgrounds toward acquiring technological skills that are essential for the 21st century workforce. The VR creation experience also motivated the students to learn more about cultural heritage. Technical issues regarding spherical photo‐taking and the online VR creation tool were identified, which may call for new alternative tools and devices. Findings offer empirical evidence on the value of integrating VR creation into cultural heritage education, as well as implications for pedagogical design and educational applications of VR creation.
Transitions and social interaction: Making sense of self and situation through engagement with others
Authors: McKenzie Pam , Willson Rebekah 
Published: October 2019

ABSTRACTThis short paper examines social interaction (e.g. asking colleagues for help in the lunchroom) as an informative experience, a way to understand oneself and situation. The process of coming to an understanding is frequently hidden, but may be brought to light by examining the experiences of individuals undergoing a transition – a change that requires them to redefine their sense of self and situation. Using exemplars from previous research and drawing on Lave and Wenger's (1991) theory of situated learning, this paper explores the importance of social interaction to information practices. The role of social interaction will be discussed, including: information seeking to become part of a community, and social interaction as a source of information and as a site for information comparison (a type of information use) to situate oneself in a new environment. The paper proposes making social interaction a focus of study to better understand how individuals use information to change perception about and situate themselves.
Designing feedback information to encourage users' participation performances in citizen science projects
Authors: Tang Jian , Zhou Xinxue , Yu Meihua 
Published: October 2019

ABSTRACTProviding feedback is a design intervention that can enhance users' motivation and engagement in various contexts. Yet, prior research on citizen science has not specifically investigated how the design of feedback information can influence user experience and contribution. Furthermore, whether the presentation of feedback information may affect the quantity and quality of user contribution also requires further investigation. Drawing upon the feedback intervention theory, we propose a research model to depict the influence of feedback types (descriptive vs. evaluative) and feedback valences (positive vs. negative) on self‐efficacy and enjoyment, which then affect the quantity and quality of contribution. We have developed an experiment website and will conduct an online experiment to validate our research model. The findings will provide the groundwork for feedback information design to enhance users' participation performance in citizen science projects.
From free to fee: Exploring the factors that influence the askers' switching behavior on online Q&A platforms
Authors: Zhao Yuxiang (Chris) , Liu Zhouying , Chen Si , Zhu Qinghua 
Published: October 2019

ABSTRACTMore and more social Q&A platforms are launching new business models to monetize online knowledge. Many users of the traditional free Q&A are gradually adopting the payment‐based Q&A services. Previous studies have focused more on askers' participation behaviors in the free Q&A context, while few of them explored the switching behavior of askers from free‐ to payment‐based Q&A platforms. Based on the push‐pull‐mooring (PPM) model, this paper aims at exploring the influencing factors of askers' switching behavior using the critical incident technique. The classification scheme of the factors that influence the askers' switching behaviors includes 5 categories and 16 subcategories. We also use the entropy‐weight method to calculate the weight of each factor. The findings suggest that the psychological characteristics, cognitive needs, and financial incentives have great impacts on askers' switching behavior in the Q&A context.
Information encountering in the humanities: Embeddedness, temporality, and altruism
Authors: Buchanan Sarah A. , Erdelez Sanda 
Published: October 2019

ABSTRACTHumanities research informs people's movements across time and reshapes cultural worldviews. While we know that humanists integrate information resources into their research program and that serendipitous discoveries enable truly transformative knowledge creation, our picture of discovery in the humanities is unclear. There is an important role for information professionals to better support humanistic discovery as routine practice. To fully comprehend the complex research activities of humanities scholars it is necessary to expand upon existing models of information encountering (IE) by analyzing discovery episodes and the temporal and topical factors in play. We take particular interest in studying how scholars in the art history and archeology disciplines conceptualize, pursue, and often complete research projects. Ultimately we present an amended IE model that reveals intricate connections between IE, rediscovery, and altruistic collaboration mutually evolving over distinct timespans.
How scientists interact with bacteria: Creating new knowledge
Authors: Forero Giovanni 
Published: October 2019

ABSTRACTThis paper presents a current investigation analyzing the interactions between scientists and their objects of study, specifically bacteria, to understand the role of physical objects during informational processes of investigation and research; it focuses on the techniques that the scientists deployed in the laboratory during the course of their investigation in order to generate information and build knowledge. This investigation is carried out in a micro‐biology laboratory at an Australasian university that studies particular bacteria and how they become resistant to antibiotics. This study uses Latour's Actor Network Theory (ANT) as a conceptual framework and methodological approach, in order to understand the associations and interactions enacted in the laboratory as a mechanism to produce scientific papers, and how these interactions are mediated by a range of actors including technology, practices and personal events. This study also discusses some of the implications of using ANT as a conceptual framework and methodological approach, and its potential value as a theoretical foundation for future research in information studies.
The landscape of archived studies in a social science data infrastructure: Investigating the ICPSR metadata records
Authors: Lee Jian‐Sin , Jeng Wei 
Published: October 2019

ABSTRACTData sharing and reuse practices in social sciences have changed in the past few decades with the continuing development of cyber‐infrastructures. However, little is known about how such practices chronically change over time. Via the lens of 35 years' worth of archived data on the world's largest social science data infrastructure, ICPSR, this study aims to reveal data characteristics (e.g., archived data themes and temporal distribution) that shape and represent the trend of social science data sharing and reuse. After a preliminary analysis on metadata of 10,362 studies and 159,616 associated citation records, an upward trend is found regarding the number of studies archived on ICPSR and their citation counts. We also report problems with metadata standards and the challenges of reusing data derived from these studies. Our results can be a cornerstone to investigate the roles of ICPSR as a research data infrastructure within the context of open science.
Understanding early research experiences through the lens of connected learning
Authors: Magee Rachel M. , Simpson Amari T. 
Published: October 2019

ABSTRACTThis paper examines the early research experiences of eighteen researchers from a variety of scholarly fields to identify key factors in effective, successful experiences. Applying thematic analysis to semi‐structured interviews, and using the Connected Learning framework as a lens to examine early research experiences, we identify three factors that are common in successful experiences: exposure to key events early in researchers' lives, mentorship from a variety of sources that proactively connects early researchers to opportunities and models support, and experiences that prompt curiosity and joy, sparking the interests of those who go on to become researchers. This work has implications for the design of early research experiences and demonstrates how connecting youth to research opportunities early in their learning allows them to pursue their interests, build relationships with mentors/mentees, and access opportunities to develop as researchers and critical thinkers.
Investigating users' affective load in collaborative search
Authors: Huang Kun , Yuan Xin , Li Lei , Ye Edwin Mouda 
Published: October 2019

ABSTRACTThis paper draws on affective load theory to explore the characteristics of users' affective load in collaborative searching. In this experimental study, a total of 32 participants were recruited and divided into 16 pair‐groups. Each pair‐group collaboratively completed three search tasks in the Coagmento system. Users reported more irritation than anxiety, frustration, and rage. Moreover, the greater a task's perceived difficulty, the higher the irritation, anxiety and frustration felt by users. Users' affective load was higher when they spent more time on a search than they expected to. Conversely, their sense of retrieval success, self‐motivation to search contributed to reducing users' perceived affective load, but not as much as satisfaction with collaborative search results, and satisfaction with collaborative task outcomes did.
There is a method to it: Making meaning in information research through a mix of paradigms and methods
Authors: Connaway Lynn Silipigni , Faniel Ixchel M. , Narayan Bhuva , Sayyed‐Abdi Elham 
Published: October 2019

ABSTRACTThe current information environment provides many options for individuals in finding information and acquiring resources. It is increasingly necessary for Information Science (IS) researchers to employ user‐centered research methods in order to better identify individuals' information behaviors within their contextual worlds. This panel will provide an overview of some of the novel user‐centered research methods being used globally in information research within various contexts. Focusing on some recent innovative projects ranging from information discovery and access, refugee information behaviors, and cyberbullying, to personal health information management, the panel will examine the benefits, challenges, and implications for IS researchers. The panel will have an interactive component for participants to learn how to incorporate new methodologies in innovative ways within their research to make new meaning from their user studies.
Data Science Education in Library and Information Science Schools
Authors: Hagen Loni , Andrews James , Federer Lisa , Benoit Gerald 
Published: October 2019

ABSTRACTThe need for data science education has grown recently among Library and Information Science schools to better prepare information professionals for the world of big data. However, there are many challenges to providing education on data science in Library and Information Science schools. For example, developing curricula and models for managing faculty resources (full‐time teaching, buy‐out, or specialized faculty) are some initial, common challenges. Participants will present their experiences and insights regarding data science education, which may include curricula, barriers, and best practices in the panel presentations. The panel session then will open up to an active discussion session with the audience, who will be encouraged to share their experiences and insights. This panel session is part of an ongoing effort by the organizers to establish sustainable data science education in Information Science schools. Developing a framework and curricula of data science education in Information Science schools, based on best practices and informed by experience, is the optimal goal of this ongoing effort. The success of this effort depends on active participation of the participants. This panel is sponsored by SIG ED.
Bridging the library and information science research – practice gap: A panel discussion
Authors: Partridge Helen , Given Lisa M. , Abdi Elham Sayyad , Buchanan George , Bunker Kate , Luca Edward , McKay Dana , Narayan Bhuva 
Published: October 2019

ABSTRACTThe panel will explore the challenges and opportunities for bridging the library and information science (LIS) research practice gap in Australia. The panel brings together participants from the Research Assistance and Development for Australian Researchers (RADAR) Grant, an initiative of the Library and Information Science Research Australia (LISRA) project. The LISRA project is a three‐year project aimed at encouraging and enabling research culture and practice within the Australian LIS sector.
Data science research and practice: High time for synergy
Authors: Rorissa Abebe , Federer Lisa , Hagen Loni , Kim Jeonghyun (Annie) , Andrews James 
Published: October 2019

ABSTRACTRapid increase in the rate of information and communication technology innovations resulted in the Big Data phenomenon and, in turn, led to challenges in data curation, management, processing, access, preservation, and dissemination. To effectively address these challenges, synergistic collaborations and partnerships between researchers and practitioners need to be established. For research to inform practice, and vice versa, the ASIS&T community, specifically those engaged in data science research and practice, need to regularly share their ideas, issues, findings, and best practices so that this young sub‐discipline can grow and thrive. We believe a suitable time has arrived for all stakeholders to deliberate on how best to create synergy between researchers and practitioners in order to help set the agenda for the near and distant future. To that end, we are proposing an interactive panel where panelists will lead a discussion by researchers and practitioners to identify any gaps with respect to data science research and practice to collaboratively find ways to address them.