bluuebunny/crossref_metadata_2025_split huggingface dataset:
Community‐based data integration of course and job data in support of personalized career‐education recommendations
Authors: Zhu Guoqing , Kopalle Naga Anjaneyulu , Wang Yongzhen , Liu Xiaozhong , Jona Kemi , Börner Katy 
Published: October 2020

AbstractHow does your education impact your professional career? Ideally, the courses you take help you identify, get hired for, and perform the job you always wanted. However, not all courses provide skills that transfer to existing and future jobs; skill terms used in course descriptions might be different from those listed in job advertisements; and there might exist a considerable skill gap between what is taught in courses and what is needed for a job. In this study, we propose a novel method to integrate extensive course description and job advertisement data by leveraging heterogeneous data integration and community detection. The innovative heterogeneous graph approach along with identified skill communities enables cross‐domain information recommendation, for example, given an educational profile, job recommendations can be provided together with suggestions on education opportunities for re‐ and upskilling in support of lifelong learning. Note: This work was partially supported by the National Science Foundation under award 1,936,656. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the NSF.
The role of virtual reality in preparing graduate students for community engagement
Authors: Alshathri Iman , Ulla Damaruka Priya , Komlodi Anita , Wolff Michele , Schmitz Hannah 
Published: October 2020

AbstractCommunity engagement (CE) experiences in higher education have been shown to lead to greater student engagement and graduation rates. Students also develop learning, personal, and social competencies in the affective domain through CE activities (Simonet, Minnesota Campus Compact, 2008, 1, 1–13). Some of the CE programs are focused on addressing the needs of individuals experiencing homelessness. Typically, STEM students’ rates of CE participation lag behind those of students in other disciplines. The goal of this pilot study is to determine the effectiveness of virtual reality (VR) to change the attitudes of STEM graduate students towards homelessness and CE. Additionally, it aims to increase students’ awareness of the life experiences of people who are homeless and encourage them to participate in community‐based engagement. In this qualitative pilot study, we sought to explore the impact of both interactive VR applications and 360° documentaries on four STEM graduate students. The results suggest that the use of VR technology with STEM students not only changed their perception but is also feasible as a preparation tool for CE activities. The potential of this technology to change attitudes makes them useful tools to incorporate in CE preparation.
Unmet information needs regarding cannabis decisions in pregnancy
Authors: Greyson Devon 
Published: October 2020

AbstractDespite recommendations to abstain, cannabis is the most used illicit drug during pregnancy in the United States. This poster considers the information needs of eight women interviewed in a pilot study about cannabis decision‐making during pregnancy. Need for more and better information was universal, but specific needs and barriers to seeking information varied based on medical history and social locations of participants.
Does hierarchical badges system affect users’ efforts and opinions? A preliminary study
Authors: Ma Dandan , Li Shuqing , Du Jia Tina , Lu Chao , Sun Jianjun 
Published: October 2020

AbstractHierarchical badges system is often used to encourage user contribution in many user‐generated content (UGC) platforms. But little is known whether this mechanism is effective in inducing users to provide more substantial and useful contents. In this research, we aim to study how the badge levels impact users’ contribution behavior such as their efforts and opinions, using data from a large online review platform. Our preliminary results show that users increase their efforts such as review frequency and review length as their badge levels upgrade. In terms of opinions they express, users with higher badges are less likely to post extreme ratings. Our finding has important implications for business modes that rely on UGC, such as social question‐and‐answering, social media, and crowdsourcing.
Exploring the criteria for self‐guided tourists to evaluate satisfaction with online travel information
Authors: Li Lei , Wang Ao , Huang Kun 
Published: October 2020

AbstractAs the number of self‐guided tours has risen in recent years, more travelers use online information sources to collect information and make their travel plans prior to travel. This study addresses the important issue of how to evaluate user satisfaction with various online tourist information sources. In this study, we recruited participants who intended to travel on the self‐guided way. Information retrieval experiments and interviews were conducted to identify the criteria that affected their satisfaction with various types of online travel information. Through content analysis of the interview data, 19 criteria were obtained. This study provides a theoretical basis for optimizing methods of automatic evaluation of users' satisfaction with tourism information.
Social media and COVID‐19: Characterizing anti‐quarantine comments on Twitter
Authors: Karami Amir , Anderson Mackenzie 
Published: October 2020

AbstractSocial media has become a mainstream channel of communication during the COVID‐19 pandemic. While some studies have been developed on investigating public opinion on social media data regarding COVID‐19 pandemic, there is no study analyzing anti‐quarantine comments on social media. This study has collected and analyzed near 80,000 tweets to understand anti‐quarantine social comments. Using text mining, we found 11 topics representing different issues such as comparing COVID‐19 and flu and health side effects of quarantine. We believe that this study shines a light on public opinion of people who are against quarantine.
The influence of positive or negative impacts on information behavior
Authors: Bank Nicole L. 
Published: October 2020

AbstractIn recent progress in information behavior research, people have been at the center of investigations. Thomas Wilson's popular general model of information behavior has evolved from the growing realization that information behavior occurs across many contexts. The current proposal suggests adding the influence of impacts to Wilson's general model of information processing and use. By accounting for past experiences with information sources, information scientists are better able to tackle society's grand challenges.
Through the magnifying glass: Exploring aggregations of COVID‐19 datasets by county, state, and taxonomies of U.S. regions
Authors: Cheng Yi‐Yun , Ludäscher Bertram 
Published: October 2020

AbstractIn this preliminary study, we investigate the case of COVID‐19 United States confirmed cases datasets, and perform experiments with aggregations of data by county, state, and different taxonomies for U.S. regions. The overarching goals of this study is to uncover potential data quality issues due to different levels of geospatial aggregation of data.
U.S. state libraries as strong institutions: Supporting justice for LGBTQ+ patrons?
Authors: Winberry Joseph , Mehra Bharat 
Published: October 2020

AbstractOne hundred and ninety‐three countries have ratified the United Nations 2030 Agenda for Sustainable Development outlining 17 goals to promote prosperity of people and the planet in a peaceful and sustainable way. Despite hate crimes and marginalization around the world, LGBTQ+ communities are missing from conceptualization and description of these goals. This poster recognizes state libraries in the United States as potentially strong institutions to promote peace and justice for sexual minorities (i.e., Sustainable Development Goal 16). It presents illustrative examples from a website content analysis of four state libraries in Colorado, Maine, Oklahoma, and Texas, regions that the Human Rights Campaign has recognized as exemplar in six law and policy development areas (i.e., parenting, relationship recognition/religious refusal, hate crimes and criminal justice, youth, and health and safety). The findings—selectively described in the narrative and fully viewable through a weblink—serve as a first step towards identifying best practices that state libraries can take to better serve LGBTQ+ patrons.
Network typology, information sources, and messages of the infodemic twitter network under COVID‐19
Authors: Chong Miyoung 
Published: October 2020

AbstractDuring the COVID‐19 crisis, fake news, conspiracy theories, and backlash against specific groups emerged and were largely diffused via social media. This phenomenon has been described as an “infodemic,” and this study examined that the characteristics of infodemic on Twitter. Typological attributes of the infodemic Twitter network presented the features of “community clusters.” The frequently shard domains and URLs demonstrated coherent characteristics within the network. Top domains and URLs were trustworthy information sources, popular blogs, and public health research institutions. Interestingly, the most shard conversational content of the network was a COVID‐19 relevant incident occurred at a church in Korea based on misinformation and false belief.
Linking mechanisms in data repositories: A case study of BioSample database
Authors: Qin Jian , Leathers Alicia , Tompkins Vivian 
Published: October 2020

AbstractThis poster reports upon a case study of the linking mechanisms in the NCBI BioSample database and its immediate connections, examining the types of links, their functions, and implications according to the FAIR data principles. The study allowed the authors to conduct a more detailed analysis of one area of data management by focusing on one database's linking mechanisms, providing a glimpse into the role of linking mechanisms to support biomedical research and discovery and serving as a model for future studies.
Social media and COVID‐19: Can social distancing be quantified without measuring human movements?
Authors: Anderson Mackenzie , Karami Amir , Bozorgi Parisa 
Published: October 2020

AbstractThe COVID‐19 outbreak has posed significant threats to international health and the economy. In the absence of treatment for this virus, public health officials asked the public to practice social distancing to reduce the number of physical contacts. However, quantifying social distancing is a challenging task and current methods are based on human movements. We propose a time and cost‐effective approach to measure how people practice social distancing. This study proposes a new method based on utilizing the frequency of hashtags supporting and encouraging social distancing for measuring social distancing. We have identified 18 related hashtags and tracked their trends between Jan and May 2020. Our evaluation results show that there is a strong correlation (p < .05) between our findings and the Google social distancing report.
We are here and we are many: Using a telepresence robot for shared exploration and learning (and fun)
Authors: Lueg Christopher , Castles Meredith , Wong Ming Chao 
Published: October 2020

AbstractMobile remote presence bots (MRP) have emerged as a potential way of addressing the “tyranny of distance” when having to attend meetings at far away locations. In this contribution we report on how we used an MRP to share with two cohorts of postgraduate students at a regional university the formal “conferencing” and the informal “mingling” that takes place at quality academic conferences and that many would consider essential for effective networking and knowledge sharing. Simultaneously, students were able to experience and explore what it meant to be “different” in a room full of people interacting in “regular” ways, observing the conference attendees reacting to the MRP aka “ipad on a stick” in ways from genuine interest to forced indifference.
“Your personal health data can tell”: Exploring prediabetic adult's lifestyle self‐management with H‐IoT technology
Authors: Zou Ning , He Daqing , Liang Shaobo 
Published: October 2020

AbstractCould personal health data tracking have impacts on prediabetic adults' lifestyle self‐management? To provide answers, we conducted a preliminary study using a web survey to collect prediabetic adults' self‐tracking experience and their perceptions towards Healthcare‐related Internet of Things (H‐IoT) technology and data generated by H‐IoT. Putting user at the center of the data flow, our findings provide insights in terms of the interactions between individuals and the H‐IoT generated personal health data.
Investigating the information practices of parents of transgender or gender non‐conforming (GNC) youth: Preliminary findings
Authors: Ortiz‐Myers Maria 
Published: October 2020

AbstractThis poster presents preliminary results of a pilot study of the information practices of parents of gender non‐conforming (GNC) youth. Semi‐structured interviews with six parents of transgender or non‐binary youth (ages 12–25) were conducted. Parents prioritized their children, regardless of age, as epistemic and cognitive authorities. Secondarily, parents prized the lived experiences of other transgender people and the families that supported them. Data analysis is ongoing and is anticipated to produce a fuller explication of these findings.
Supporting inclusive gaming communities through fostering online‐offline hybrid spaces
Authors: Simons Rachel N. , Girard Rebekka , Elkins Aaron 
Published: October 2020

AbstractWhile being part of a supportive gaming community has many benefits, members of marginalized groups struggle to feel welcome in these spaces. Librarians and other information professionals are particularly experienced with serving marginalized groups and are already supporting the development of gaming communities within online and offline spaces. Increasingly, however, game‐play spaces are online‐offline hybrid communities utilizing both in‐person physical resources and information and communication technologies. In this virtual poster, we propose future research on the unique combinations of social and technical aspects within hybrid gaming communities, with the goal of allowing information professionals to better foster inclusive communities.
Information seeking behavior of cosplayers
Authors: Vardell Emily , Thomas Paul , Wang Ting 
Published: October 2020

AbstractThis qualitative study explores the information seeking behavior of cosplayers (i.e., individuals who create costumes from films, video games, anime, etc.). Interviewed participants outlined information practices including search strategy development, locating curated resources within a Facebook group, collaboration, and strategies for overcoming information hurdles. The findings demonstrate that fan communities are rich socio‐cultural environments, replete with sophisticated information practices.
Enhancing bibliographic records in academic library catalogs: An empirical study
Authors: Wu Shuheng 
Published: October 2020

AbstractThis poster presents preliminary findings of a study which examines users' needs and requirements for bibliographic enhancement data (B.E.D.) in academic library catalogs. Qualitative data were collected through eight participants' activity logs and follow‐up interviews. This study identified 17 types of B.E.D. useful for supporting the user tasks defined in the Library Reference Model and in six other contexts, such as enhancing users' reading interpretation. Participants reported nine quality criteria important for B.E.D. Findings suggest that adoption of BIBFRAME and Semantic Web technologies may enable academic library catalogs to provide B.E.D. to support users in various contexts.
Understanding how African‐American and Latinx youth evaluate their experiences with digital assistants
Authors: Yi Siqi , Slota Stephen C. , Bailey Jakki O. , Watkins S. Craig , Fleischmann Kenneth R. 
Published: October 2020

AbstractAs artificial intelligence (AI)‐driven devices play an increasingly important role in children's lives, there is a need for research considering how socioeconomic and cultural differences shape children's engagement with digital assistants. This paper reports results from 10 interviews, including five African‐American or Latinx parent/child dyads about how they use and evaluate digital assistants. We identified three key themes resulting from these interviews: usability, privacy, and digital literacy. We conclude that further study is needed to ensure that digital assistants are aligned with the values of children from underrepresented populations.
Mapping bf:Work to lrm:Work and lrm:Expression: Towards a set‐theoretical approach
Authors: Hahn Jim , Dousa Thomas M. 
Published: October 2020

AbstractThe two bibliographical models currently informing the design of systems for the representation of bibliographical data – the IFLA Library Reference Model (IFLA‐LRM) and BIBFRAME 2.0 – do not seamlessly map onto one another. In particular, there are conceptual problems in mapping between the bibliographical entity BIBFRAME:Work and its counterparts, IFLA‐LRM:Work and IFLA‐LRM:Expression. To mitigate these difficulties, we argue for applying a set‐theoretical framework to the mapping between BIBFRAME:Work and IFLA‐LRM:Work and IFLA‐LRM:Expression.
Does GDPR influence the hospital‐patient relationship? Trust and commitment between health data stakeholders
Authors: Chen Yu‐Jen , Jeng Wei 
Published: October 2020

AbstractGDPR influences the way people define and use personal data. This study aims to discuss how the relationship between data subjects and data controllers in the healthcare context would be influenced under GDPR. We adopt the Key Mediating Variable, as a conceptual model, to reveal potential changes in the hospital‐patient relationship, specifically in terms of trust and commitment, as influenced by GDPR in the following five precursors: relationship termination costs, benefits, shared values of data, communication, and opportunistic behavior.
Applying BIBFRAME in large‐scale digital libraries: The HathiTrust Research Center's experience
Authors: Jett Jacob , Kudeki Deren , Worhtley Glen , Cole Timothy W. , Downie J. Stephen 
Published: October 2020

AbstractIn 2018 the HathiTrust Research Center built an experimental triplestore of BIBFRAME RDF from the HathiTrust Digital Library's MARC metadata catalog. This poster describes processes used to convert from MARC to BIBFRAME, to enrich descriptions with links, and to visualize worksets using RDF created.
Data‐driven semantic indexing of digital assets documenting American football game action
Authors: MacCall Steven L. , Liu Huapu 
Published: October 2020

AbstractThis is a work‐in‐progress poster reporting on research investigating the item‐level semantic indexing of digital assets (i.e., images and video clips) that document action during American football games. Our data‐driven semantic indexing method is novel in that it is not based on the traditional asset‐by‐asset approach that results in the creation of individual metadata records for each asset; rather, our method inverts the traditional process by facilitating the organizing of each game on a play‐by‐play basis first by using play‐level statistical datasets for those games, and then “attaching” each digital asset to the appropriate play via an actual or simulated time‐based parameter. In this poster, we will report on the implementation of our MediaWiki/Wikibase instance, on key classes and properties from our data model, and we will provide a live demo of example SPARQL queries demonstrating the precision searches that are made possible by our data‐driven semantic indexing method.
University students' information behavior when experiencing mental health symptoms
Authors: Oh Chi Young , Kornfield Rachel , Lattie Emily G. , Mohr David C. , Reddy Madhu 
Published: October 2020

AbstractThis work‐in‐progress paper reports preliminary analysis of an online survey of 224 university students (undergraduate or graduate), examining their help‐seeking behavior, information needs, information‐seeking behavior, and information‐seeking satisfaction when experiencing stress, anxiety, or depression symptoms. Information on the Internet was the most commonly used source of help and information. While most demonstrated at least mild mental illness symptoms, students were inclined to seek information around self‐help/care rather than around professional help. This study extends information behavior research to the mental health context, and our future analyses will assess how students’ information behavior relates to their psychological and sociodemographic factors.
“I find myself wondering why I wanted to do this:” Identifying barriers for students of color in the LIS field
Authors: Iribe Ramirez Yvette , Tari Mina 
Published: October 2020

AbstractIn this pilot study we explored barriers graduate students of color experienced entering and during their Master of Library and Information Science program. Preliminary results indicate specific concerns students have about representation within the degree program, and the field as a whole. However, students are optimistic about their role in the field and feel that their experiences and voices will be valued moving into professional positions. Finally, this study helps our understanding of student's perceived barriers entering the LIS field, as we continue future work toward dismantling these barriers.
Investigating COVID‐19‐Related query logs of Chinese search engine users
Authors: Ye Ziyi , Mao Jiaxin , Liu Yiqun , Zhang Min , Ma Shaoping 
Published: October 2020

AbstractQuery logs include valuable information for understanding user intent and behavior in Web search. In this article, we investigate COVID‐19‐related query logs by dividing search sessions into different intent and analyzing the user behavior of groups and individuals. We believe it important to learn about the epidemic's influence on users' search behavior and refine search engine to confront similar epidemic outbreaks in the future.
A case report: Challenges in COVID‐19 modeling at a public health department
Authors: Rogers Monica 
Published: October 2020

AbstractIn response to the COVID‐19 public health emergency, the Tulsa Health Department created local models. This was an iterative process, with the focus predicting all infections (including asymptomatic and mild cases that would not meet testing criteria,) and deaths for the Tulsa area. SEIR‐type models were utilized. Developing infectious disease models is challenging due to data issues related to validity, and complex interrelated assumptions, and this was exacerbated with the COVID‐19 crisis. Directly related to these data challenges were challenges with communicating without spreading misinformation, and being clear about the model limitations.