bluuebunny/crossref_metadata_2025_split huggingface dataset:
Advancing LIS in iSchools: Building a Coalition To Ensure a Vibrant Future
Authors: Palmer Carole L. , Bonn Maria , Coward Chris , Knox Emily , Marzullo Keith , Ndumu Ana , Subramaniam Mega , Thomer Andrea 
Published: October 2023

ABSTRACTThe LIS Forward initiative is addressing the urgent question: As LIS evolves within the context of iSchools, how do we best position our research and education programs to lead the field and the future of libraries? The initiative stems from the recognition that the evolution of iSchools presents opportunities and challenges for LIS and that there is great value in iSchools working together on charting directions forward. The growing coalition of iSchools is working to support LIS in taking full advantage of the multidisciplinary knowledge and expertise within iSchools, foster future leaders who will champion LIS within iSchools, and confront the dynamic tensions in research intensive iSchools. This session aims to engage international, professional, and academic stakeholders to guide activities and coalition building that can continue to strengthen LIS in iSchools. A panel will present highlights from a recent position paper to catalyze interactive, facilitated dialogue within the ASIS&T community on critical issues in LIS research and education. Breakout sessions will generate responses and recommendations to advance collaborative planning and strategy of value to LIS academic programs and the profession.
Pathways to Positive Change: Exploring Research Engagement in Practice Contexts
Authors: Polkinghorne Sarah , Bowker Lynne , Detlor Brian , Greenshields Mary , Mckay Dana 
Published: October 2023

ABSTRACTBringing library and information science (LIS) research into practice often means identifying ways for our work to effect positive change within information institutions. Such change is more likely if it is well‐grounded in understanding of how practitioners engage with research, and how research influences change within institutions. This panel addresses these issues through the diverse perspectives of its international panelists, who all bring diverse and substantial experience working in both research and practice contexts. Panelists will speak to lessons from experiences such as research co‐design, researcher‐in‐residence programs, mentorship, and community‐based research. Attendees will have opportunities to discuss strategies for enhancing the impact of their own research on practice.
Strategies for Conducting Critical Research in Information Science by Designing Social Justice Research Informed by Intersectionality
Authors: Senteio Charles , Chancellor Renate , Brewer Robin , Gray LaVerne , Threats Megan 
Published: October 2023

ABSTRACTThis panel will present examples of how to conduct critical social justice research in Information Science (IS) that acknowledges intersectionality. Each of the panelists has extensive experience in designing and conducting IS investigations with communities underrepresented in research who may belong to various, interdependent social identities. The panelists will present their specific empirical research and/or make a theoretical contribution that applies the intersectionality framework. Each of the panelists will give a presentation followed by a Q&A session.
Multispecies Information Science
Authors: Solhjoo Niloofar , Fuller Steve , Hartel Jenna , Lueg Christopher , van der Linden Dirk 
Published: October 2023

ABSTRACTInformation is not just for humans. And humans do not only live with, care for or interact with other humans. Information Science, lagging behind most other social sciences, has not yet broached a public conversation about the multispecies turn. This panel aims to attract attention to the timely and important question of “What is Multispecies Information Science?” An introduction to the topic and key concepts will be established, followed by the provocative reflections on theoretical, methodological, ethical, and practical aspects of the topic. Panelists will bring their own examples of multispecies research, teaching, and design in Information Science and related fields. The discussion about the potential and implications of including Multispecies in Information Science would encourage empathy to non‐human animals we live with, and start a new turn in the field.
From Data to Action: Leveraging Open Data to Drive Knowledge‐Based Intelligent Governance
Authors: Wang Fang , Zhu Hongzhi , Wu Yejun , He Daqing , Liu Xiaozhong 
Published: October 2023

ABSTRACTLeveraging open data to drive knowledge‐based intelligent governance is crucial because it enables evidence‐based decision‐making, improves service delivery, increases transparency and accountability, and enhances citizen engagement. However, there are challenges associated with the use of data and technology in intelligent governance, including departmental data sharing and openness, practicality and user engagement of government platforms, and security issues. Therefore, our panel invited experts from multiple universities to discuss and provide solutions to these theoretical and practical challenges. We aim to deeply analyze the existing problems in theory and practice, and provide solutions to promote the development of knowledge‐based intelligent governance. The importance of this panel lies in the promotion of evidence‐based decision‐making and the development of innovative digital public service capabilities to improve government responsiveness and citizen trust.
Data‐Driven Decision‐Making Practice in Higher Education Institutions in Ethiopia
Authors: Asfaw Zelalem , Alemneh Daniel , Jimma Worku , Ferede Bekalu 
Published: October 2023

ABSTRACTThis study investigates the practice of data‐driven decision‐making in higher education institutions in Ethiopia. It presents the results of a mixed‐methods investigation that was conducted at two public universities in Ethiopia. Data was collected via a survey questionnaire from 91 faculty members, nine ICT experts, four higher education registrar experts, and 194 graduating undergraduate students. The study also involved interviews with two directors from the university's education program relevance and enhancement office and four senior officers from library departments. The findings revealed that the majority of the instructors used manual data analysis and basic software, such as MS Excel, to analyze student performance, achievement, and assessment data. Institutions use many disconnected in‐house systems for different activities without intelligent tools or data warehouses to support data analytics. The results indicate deficiency in activities that promote data analytics and data‐driven decision‐making, such as capacity‐building training and leadership support within institutions.
Zooming into the Future: Implementing Theory into Practice for Educational Crisis Times
Authors: Ayalon Ayelet , Aharony Noa 
Published: October 2023

ABSTRACTThe abrupt transition from face‐to‐face classes to online learning during March 2020 occurred as a result of the Covid‐19 pandemic. Teachers were forced to shift to online teaching with no prior training, while students had to adapt to a new learning format. The physical distance between students and teachers led to changes in interactions. The current study examines the instructional approaches used for online teaching and learning during the Covid‐19 crisis. The research focuses on using the Covid‐19 pandemic as a case study to explore crisis events and their impact on education system. The study uses a qualitative approach, with three junior and high schools participating. Thirteen teachers were interviewed, and 27 students participated in three focus groups, one from each school. The study's theoretical framework is based on the Transactional Distance Theory (TDT) and the Connectivism Learning Theory (CLT). The main finding focuses on teachers' use of autonomy to vary their teaching approaches, while students felt they did not know how to cope with the autonomy given to them and even felt neglected by their teachers. Therefore, in order to strengthen learners' autonomy, teachers need to design and monitor the scaffoldings by both structure (curriculum) and dialog (teacher‐student and student–student).
Developing Critical Information Literacy Pedagogies in the Face of Scholarly Misconduct
Authors: Batool Shahid Syeda Hina , Sinnamon Luanne 
Published: October 2023

ABSTRACTDrawing on the need to shift from competency‐based information literacy instruction to critical information literacy instruction, this study examines scholarly communication and scholarly misconduct in the health sciences based on literary evidence. We report on a qualitative systematic review of forms of scholarly misconduct in the health sciences and participants' attitudes towards these phenomena, with the goal of developing new, critical, approaches to information literacy instruction. The data synthesis process indicates there are four major areas of misconduct in health science research: in conducting research, publishing, following research protocols and determining authority. This categorization informs a framework for critical information literacy dispositions and pedagogies for researchers across health disciplines and geographies.
Translating Research into Practice: Plain Language and Writing for Machine Translation Guidelines
Authors: Bowker Lynne 
Published: October 2023

ABSTRACTScholars seek to translate research into practice through science communication, but the overwhelming use of English makes it challenging for some local community actors to access research findings. Machine translation (MT) tools can help, but the underlying data‐driven approach does not work equally well for all languages and domains. If plain language summaries can be rendered more MT‐friendly, this could make it easier for speakers of other languages to access research. This poster compares guidelines for plain language and guidelines for writing for MT to determine their compatibility and potential usefulness for creating reader‐ and MT‐friendly summaries.
Understanding Deepfake Research and Trends through Topic Modelling
Authors: Chen Chen , Goh Dion Hoe‐Lian 
Published: October 2023

ABSTRACTDeepfake research has gained traction in recent years. Surveys have been conducted to summarize work on the detection and generation of deepfakes. However, a more comprehensive and quantitative overview that encompasses both technical and non‐technical areas is lacking. We address this gap using topic modelling to discover deepfake research topics in academic publications. Our results show that while detection techniques topics dominate the research field, other areas, such as privacy and legal research, offer potential avenues for further exploration.
Differences in Researcher Rankings in Multiple Authorship–Oriented Research Fields Determined by Full Counting and Harmonic Counting
Authors: Cheng Tung‐Wen , Chang Yu‐Wei 
Published: October 2023

ABSTRACTThis study explored whether harmonic counting, which emphasizes the position and role of authors in the author byline, produces researcher rankings (based on the number of articles published) that differ from those produced through full counting in multiple authorship–oriented research fields. An analysis of articles published during a 10‐year period (2012–2021) by 377 chemical engineering professors or associate professors revealed a significant and positive correlation between full counting rankings and harmonic counting rankings. This finding indicates that when multiple authorship is the predominant trend for researchers within a given field, full counting can be performed to quickly determine researcher productivity rankings because it is more straightforward than harmonic counting. Future research should explore other research fields with diverse publishing trends.
A Text Mining Approach to Uncover the Structure of Subject Metadata in the Biodiversity Heritage Library
Authors: Cheng Yi‐Yun , Parulian Nikolaus Nova , Dinh Ly 
Published: October 2023

ABSTRACTWe propose a bottom‐up, data‐driven pipeline to uncover the structure of biodiversity subject metadata using a combination of text mining approaches. In this study, we analyze 721,035 subject terms in the Biodiversity Heritage Library (BHL). We utilize named entity recognition and word‐embedding methods to systematically label and group terms based on their vector‐space distances. The results show that the subject terms from BHL are clustered into several prominent themes relating to environmental regulations, geographic locations, organisms, and subject access points. We hope that our approach can serve as a first step to group similar subject terms together in large‐scale, constant growing digital collections with aggregated metadata from multiple sources. Ultimately, we hope the next phases of this project can become a basis for biodiversity digital libraries to standardize their vocabularies.
Tracing Information Use Over Time: A Comparative Study of Undergraduate Engineers
Authors: Dodson Samuel 
Published: October 2023

ABSTRACTThis study investigated the patterns of undergraduate engineers' information use as they transition from students to emerging professionals. We administered a questionnaire to 54 undergraduate engineers at a large research university, and compared the information use of 2nd and 4th year students. The results showed that 4th year students reported using more genres associated with professional contexts, such as technical reports, and fewer classroom‐based genres, such as textbooks, than 2nd year students. However, a significant proportion of all students reported that they do not frequently use professional genres. These findings have implications for information literacy instruction by highlighting students' need for further training on the relationship between genres and tasks.
Vocational Education and Training Data in Twitter: Making German Twitter Data Interoperable
Authors: Dörpinghaus Jens , Tiemann Michael 
Published: October 2023

ABSTRACTThere are many valuable insights on jobs and professions in different sectors of society based on their imminent and ascribed characteristics. Studying such characteristics traditionally was done by action research, surveys, questionnaires, etc. which typically take much time and resources to be concluded. In this study we examine vocational education and training data on Twitter. While we present a generic framework to retrieve, process and analyze tweets, we will discuss two research questions from computational social science: First, how can we make Twitter data interoperable to other available resources, e.g. classifications of occupations, tools and skills? Second, do we have enough data to process job collocational prestige analysis on a geographical basis? This presents a novel approach towards labor market research, making novel data interoperable which has not been considered in previous literature. Our approach and pipeline is generic and could be easily extended to other languages. It also contributes to prestige research by widening the question of ascribed prestige to the question how information on occupations is collocated and what these contextualisations tell us about how occupations are seen.
Evaluating the Effectiveness of VR Training for Crisis Communication Skills Development Among LIS Graduate Students
Authors: Dumas Catherine , Williams Rachel D. , Ogden Lydia P. , Flanagan Joanna , Porwol Luke , Tillinghast Julia 
Published: October 2023

ABSTRACTThis research analyzes the results of a study that is part of a larger, interdisciplinary, and multi‐institutional project that examines the usability and effectiveness of virtual reality (VR) training for library and information science (LIS) graduate students and professionals in gaining skills for interacting effectively with patrons in crisis. This paper reports on key findings related to the effectiveness of VR training for teaching empathy, confidence, and de‐escalation skills for LIS graduate students. The findings illustrate that VR has the potential to impact LIS graduate education by reaching a wider audience that introduces training in low‐stakes, immersive environments and that does not pose harm to patrons in crisis. This study also contributes innovative approaches that support training in skills including empathy, confidence, and de‐escalation.
Navigating Higher Education: Insights from First‐Generation Doctoral Students
Authors: Ekmekcioglu Cansu 
Published: October 2023

ABSTRACTAccess to higher education is a form of capital that is not always equally distributed. First‐generation doctoral students (FGDSs) face unique challenges and barriers which can make it difficult for them to navigate academic and institutional structures and access key resources and support. We present preliminary findings from interviews with 8 FGDS participants who pursue doctoral degrees in the field of information science in Canada. Interviews focused on identifying FGDSs' information practices in their pursuit of higher education. An inductive thematic analysis revealed the diverse information needs and sources utilized by this understudied population. The results provide insights about affective dimensions of information seeking and the role of mentors as key information intermediaries in supporting more diverse, inclusive, and equitable space for FGDSs. The poster concludes with implications for practice to improve the interfaces between FGDSs and higher education institutions as well as the broader academic landscape.
From Research to Practice: Strengthening the Irish National Code of Professional and Ethical Frameworks for Librarianship
Authors: Havelka Stefanie , Dumbleton Odile 
Published: October 2023

ABSTRACTAll over the world, libraries are facing fraught political and economically insecure times; books are being banned, marginalised communities are being protested, and Library and Information Professionals (LIPs) are struggling to narrow the digital divide to support a well‐informed society. This poster explores the connection between the competencies required by two professional library organisations and the reality of Irish library and information professionals in their actual work context. Our initial data collection consisted of a quantitative survey with 897 Irish library‐based participants. The preliminary analysis suggests the need for the strengthening of an Irish national code of professional and ethical framework, which would be of benefit to LIPs and Irish society. These ethics and values statements are the foundational pillars on which knowledge, skills, and professional abilities are built.
How Digital Events Promote Intangible Cultural Heritage? A User Experience Perspective
Authors: He Yan , Chen Xiaoyu , Wang Lihua 
Published: October 2023

ABSTRACTThis poster proposes a conceptual model to understand how digital events promote intangible cultural heritage (ICH) from a user experience perspective. The model is tested using survey data from 149 valid respondents. Our results indicate that two important attributes of digital events (event design and historical re‐enactment) significantly contribute to users' positive perception of ICH promotions. This positive perception further leads to increased attraction, user satisfaction, and engagement with ICH promotions. The value perception of ICH promotions includes three components: perceived utilitarian value, perceived hedonic value, and perceived symbolic value. We also discuss the theoretical and practical implications of our findings.
Document Conflation of a Large Scholarly Full‐text Dataset
Authors: Hsiao Tzu‐Kun 
Published: October 2023

ABSTRACTThe availability of large scholarly full‐text datasets with in‐text citations annotated opens the opportunity to investigate how articles have been cited in scientific literature at scale. However, duplicate documents may exist in a dataset, and these duplicates may impact downstream analysis such as calculating citation counts. Document conflation is the task of identifying documents that are nearly identical to each other. This study evaluates document conflation in the Semantic Scholar Open Research Corpus (S2ORC), a dataset containing over 12 million scholarly articles. The evaluation was based on 6,099,232 full‐text S2ORC documents with PubMed IDs (PMIDs) or PubMed Central IDs (PMCIDs). Our findings showed that a portion of S2ORC might contain duplicates. Of the 6,099,232 full‐text documents, 1,280,196 (20.99%) had the same PMIDs or PMCIDs as at least one other document. Pairwise comparisons of their full text found that at least 9.44% of the documents in S2ORC had duplicates.
If Cybersecurity Was… Pizza? A Visual and Rhetorical Approach to Exploring the Concept of Cybersecurity
Authors: Huang Yu‐Wen , Chen Wen‐Ning , Lin Yu‐Jie , Huang Pao‐Pei , Hu Hsin‐Yuan , Jeng Wei 
Published: October 2023

ABSTRACTUnderstanding and defining cybersecurity‐related concepts for the general public can often prove challenging due to their inherent complexity; consequently, visual imaginary emerges as an effective device for articulating and elucidating these abstract ideas. In this study, we leveraged an adapted version of the existing iSquare approach to explore people's understanding of cybersecurity. We collected 499 iSquares from a broad‐spectrum backgrounds of participants attending a prominent international cybersecurity exhibition in Taiwan. Our preliminary findings revealed that metaphors of physical security and warfare were the most frequently employed in participants' conceptualizations of cybersecurity. Participants' work roles were also observed to influence their respective attitudes and perspectives as expressed in their pictorial representations of cybersecurity.
College Students’ Perceived Credibility of Health Information on YouTube
Authors: Hwang Barun , Oh Sanghee 
Published: October 2023

ABSTRACTThis work‐in‐progress study explores users' perceived credibility of health‐related YouTube videos and proposes a credibility evaluation framework consisting of twelve criteria across four levels: source, content, creator, and interaction. College students who use YouTube for health information were invited to participate in an online survey. A pilot study was carried out with a small sample size. The findings from the pilot study showed that participants frequently accessed health videos, mainly for specific diseases, treatments, mental health, nutrition, and fitness. There were statistically significant associations between source and interaction, as well as source and creator. Further analyses with a larger sample size will be performed and reported at the 2023 ASIS&T annual meeting. We believe the findings from this study could enhance the understanding of users' attitudes and behaviors of seeking and sharing health information on YouTube.
The Impacts of Changes in Journal Data Policies: A Cross‐disciplinary Survey
Authors: Ikeuchi Ui 
Published: October 2023

ABSTRACTJournal policies play a crucial role in facilitating the sharing of research data. This study examined the Data Sharing Policies (DSP) and Supplemental Materials Policies (SMP) of ten journals from 22 disciplines in 2023, comparing the findings to those of previous surveys conducted in 2014 and 2019. Among the 220 journals analyzed, 91.4% implemented DSP, whereas 95.0% adopted SMP. Compared with the surveys conducted in 2014 and 2019, a greater number of journals exhibited more stringent requirements for DSP, particularly in the fields of Engineering, Economics & Business, and Computer Science. Although the percentage of journals that accepted supplemental materials increased, only 12.7% strongly required their submission. Furthermore, this study compared the changes in Journal Impact Factors (JIF) between journals that adopted DSP (either requiring or recommending it) and those that did not have DSP in 2019. These findings suggest that DSP has a significant effect on JIF in the Economics & Business and Psychiatry/Psychology fields.