bluuebunny/crossref_metadata_2025_split huggingface dataset:
Augmented and virtual reality technologies: Bridging practice and research in the academic library
Authors: Colegrove Patrick Tod 
Published: February 2019

ABSTRACTThis paper offers practical insights and lessons learned from over five years of direct experience provisioning and supporting augmented and virtual reality equipment as lendable technology. A pragmatic exploration of one academic library's experience in the development, sustainability, and evolution of augmented and virtual reality technology and associated services. Analyzed and critiqued in comparison to traditional library materials and services, the novel library collection is bridging the gap between learning, research, and practice. Library support is proving to be critical path: from the initial development of the lending technology collections, through the collaborative development of mixed reality equipment, spaces, and software. Specific details associated with the library's current state of practice are shared, including specifics as to working systems for both the HTC Vive and Oculus Rift equipment on dedicated mobile workstations available throughout the library. Collaborations with departments including Computer Science & Engineering, as well as the School of Journalism, have proven to be a natural outcome of the library's support: joint effort resulting in the development of numerous dedicated mobile augmented and virtual reality software development stations throughout the library, and resultant exhibit development.
Radical inclusion: immersive 360‐degree video capture, dissemination, and use of emerging technology in support of traditional archival roles at a university library
Authors: Colegrove Patrick Tod , Mikel Michael 
Published: February 2019

ABSTRACTThis paper presents preliminary findings of a work‐in‐progress, a project operating in the overlap of virtual reality technology and the traditional role of libraries, archives, and museums in the preservation of archives, records, and cultural heritage materials. Currently in its third year of operation, the Radical Inclusion project has been utilizing consumer grade technology to capture, preserve, and disseminate unique cultural and historical experiences in immersive VR & 360‐degree video format. Presented as a case study, detailed examples include workflows associated with the capture, post‐processing, and dissemination of content associated with large‐scale artwork installations: from in‐depth exchanges and documentation of projects in the process of construction, to experiential vignettes from the Burning Man event that occurs in the Black Rock Desert. Archival collections are shared more broadly to “radically include” individuals and to preserve the experience for the future so that people can study and better understand thoughts and inspirations of the artists and fellow participants. Associated detail includes specific workflows developed and software; ethical considerations and practice surrounding the capture, sharing, and sustainability of the collection; and the potentially novel hybrid use of use of Islandora and Kaltura as web platform for distribution.
#Supporting the cause: An analysis of how government agencies use Twitter hashtags
Authors: DePaula Nic 
Published: February 2019

ABSTRACTOne of the main characteristics of social media is the use of hashtags, and one of the growing and important group of actors in this environment are government agencies. However, how government agencies use hashtags has not been addressed in the scholarly literature. By definition, hashtags always serve to help index content. However, they are also reflective of information campaigns, perspectives on social issues as well as explicit calls for action. In this preliminary study I explore how U.S. federal government agencies have used Twitter hashtags during 2016 and 2017, under the Obama and Trump administrations. I present empirical results on the most used hashtags across both administrations as well as the purposes for which they wore adopted.
Digital humanities, libraries, and crowdsourcing: Foundations of digital textual technologies
Authors: Gibson Twyla , Murray Stuart J. , Erdelez Sanda , Disney Bridget A. , Greenspan Brian 
Published: February 2019

ABSTRACTThe Greek Key is a prototype Virtual Research Environment (VRE) for the analysis of patterns in ancient texts and manuscripts. A Powerpoint presentation demonstrates how the VRE functions through a comparative case study of the organization of information in Plato and Aristotle. The interdisciplinary method combines historical, philological, and philosophical techniques with approaches from the digital humanities. The Greek Key is a collaborative, scalable, multidisciplinary project that has the potential to engage librarians in participatory strategies such as crowdsourcing (or “Citizen Science”). The Greek Key tools for visualizing textual data have the potential to: reveal previously undetected patterns in books and collections; make connections among different works; help users bring new information to bear on interpretation; demonstrate the significance of findings; and generate fresh insights about works of literature that have had a central and enduring influence on both our scholarly traditions and the history of libraries and librarianship. The VRE will make it possible for academic researchers and librarians to pursue perennial questions in innovative ways, and respond to questions that do not lend themselves to more traditional methods.
Bibliomaps ‐ a software to create web‐based interactive maps of science: The case of UX map
Authors: Grauwin Sebastian , Sperano Isabelle 
Published: February 2019

ABSTRACTMaps of science, allowing the exploration of large‐scale bibliographical datasets, are meeting an increasing interest across a broad range of audiences: students, educators, researchers, policy makers, technology developers, etc. This paper presents BiblioMaps, a freely available software that can be used to create web‐based interactive maps of science. Our toolkit uses a mixture of statistical techniques and similarity measures on bibliographic metadata extracted either from the Web of Science or Scopus. After processing, the data is used in web‐based interactive visualizations. The main visualization is a map of topical clusters ‐ gathering publications based on shared references ‐ whose characteristics can be easily explored in detail. As an example, we discuss some insights gained by exploring maps based on a corpus of about 10,000 “User Experience Design” research publications.
(How) should information world maps be visually analyzed?
Authors: Greyson Devon , O'Brien Heather , Shankar Saguna 
Published: February 2019

ABSTRACTInformation world mapping (IWM) is a participatory, arts‐based elicitation method for use in interviews about information behaviours or practices. The participant‐drawn maps that result from this technique are typically used as ancillary data sources to aid in analysis of interview transcripts; however it may be possible, and even useful, to analyze these maps as data independent of the interviews, using methods suited to image analysis. This brief paper and accompanying visual presenta‐ tion describe results of analyses of information world maps using four different and contrasting methods with accompanying examples, and issue recommendations regarding the use of qualitative content analysis, compositional analysis, conceptual analysis, and visual discourse analysis, for analysis of information world maps. These insights may be generalized to other objects (e.g., photos) created through arts‐based elicitation interviewing.
Information practice, responsibility, and the ability to respond
Authors: Kaczmarek Michelle , Shankar Saguna , Nathan Lisa P. 
Published: February 2019

ABSTRACTIn situations when digital systems exacerbate bias and injustice, who should be held responsible? Who is in a position to respond effectively? This poster 1) critiques dominant rhetoric concerning responsibility and the ability to respond to the influence of digital information systems; 2) argues for the field of information science to contribute to this discussion beyond a focus on policy; and 3) calls for information scientists to draw upon and extend information practice scholarship by applying it as a generative lens for conceptualizing responsibility in relation to ethical data stewardship.
Implications for LIS from an embedded chronological case study of a vaccine avoidant mommy blogger
Authors: Kaplan Samantha 
Published: February 2019

ABSTRACTIn this poster, I review vaccine avoidance and how it is typically studied. I then describe how I conducted my dissertation research and present some implications for library and information science. This research, an embedded chronological case study of a vaccine‐avoidant mommy blogger, utilized multiple methods to understand why some people view vaccine avoidance as normative and desirable and how they engage with a mainstream world which disagrees. The findings from this research hold important theoretical and practical implications for library and information science, particularly how we study and work with communities we consider stigmatized or vulnerable to problematic information.
Analyzing library and information science full‐text articles using a topic modeling approach
Authors: Kurata Keiko , Miyata Yosuke , Ishita Emi , Yamamoto Michimasa , Yang Fang , Iwase Azusa 
Published: February 2019

ABSTRACTThe topic modeling approach can indicate hidden relationships between articles in a particular academic discipline. This study aims to examine topics in library and information science (LIS) using the latent Dirichlet allocation method. From representative five journals, 1,648 full‐text articles were analyzed. We labeled 30 identified topics based on the top 10 highly weighted terms for each topic, title, and body of articles. From the topic mapping, commonly used methods and shift of research issues in LIS were found.
Embracing semantic ambiguity to enhance interpretability of complex unstructured machine learning problems.
Authors: Lee James , Wang Zuemao , Johnson Arlene 
Published: February 2019

ABSTRACTAmbiguity is frequently seen as an impediment to the recovery of a unique interpretation and meaning in texts. Machine learning algorithms have recently been deployed as an effective way to automate the process of semantic disambiguation. However, a growing body of literature has raised questions about problems of reduced accuracy and interpretability that come with disambiguation defined in terms of optimization at large data scales. We propose a hybrid methodology that can take advantage of the increased expediency of optimization (i.e. how a machine learning algorithm efficiently identifies semantic patterns within a corpus), while rethinking ambiguity as a semantically meaningful and interpretively useful feature of linguistic corpora. Our method examines why ambiguity occurs within a natural language corpus and the consequences of ambiguous meanings. Combining the “how” and the “why” dimensions of ambiguity requires a team science approach of researchers trained to study language from different disciplines, and we demonstrate how transdisciplinary digital scholarship centers located in academic libraries can create a space to foster precisely such collaborations purposefully created to analyze ambiguous datasets in more nuanced ways.
The narrative structure as a citation context in data papers: A preliminary analysis of Scientific Data
Authors: Li Kai , Chen Pei‐Ying 
Published: February 2019

ABSTRACTThe data paper is a new type of scientific publication aiming to describe data objects per se and bridge the gaps between scientific writing and data‐driven scientific practice. Despite its importance, we are still largely in the dark as to the narrative structure of this emerging genre of scientific writing. In this poster, we presented and discussed some preliminary empirical evidence of the narrative structure of data papers and the distribution of cited sources in relation to this structure, based on a manual examination of 40 data papers from the journal of Scientific Data. Our findings suggest that even though data papers have a different structure from research papers, their paper sections bear distinct narrative functions as illustrated by the pattern of citation distribution. Moreover, some of these sections have similar functions to their counterparts in research papers. The implications of our initial findings and the next step of our project were explained in conclusion.
Challenges and opportunities in data curation for a social sciences data archive: An institution theory inspired analysis framework
Authors: Lin Chi‐Shiou , Jeng Wei 
Published: February 2019

ABSTRACTIn this paper we describe an analysis inspired by institution theory on the collection development of social sciences data ar‐ chives. The theory introduces three dimensions that together support enduring social practices, i.e., regulative, normative, and cultural‐cognitive dimensions. We use the concepts to understand the nature and the relationships among the observed prob‐ lems in a case archive so as to better describe and understand the problems and possible solutions.
Improving corpus reproducibility through modular text transformations and connected data set
Authors: Pulliza Jonathan , Shah Chirag 
Published: February 2019

ABSTRACTThe Enron Email Corpus is one of the most utilized collections of documents in Natural Language Processing, Machine Learning, and Network Analysis. Different groups of researchers have transformed the corpus, changing the content and format to meet their needs. The many distinct versions can all claim to be the Enron Email Corpus, though they are as distinct from the original publicly available collection as they are from each other. Researchers then have to determine the usefulness of a particular version in comparison to the many others available, as well as ascertain what has been done to the collection and how it would affect their specific research goal. This is especially important for reproducing a particular research method onto a different corpus, as transposing a method necessitates a deep understanding of the original data in the experiment. This project models the various transformations performed on different versions of the collection to form a network of connected datasets, highlighting the most important nodes as well as the most common transformations. Traversing different paths between nodes offers the community a way to model and reproduce the necessary data work performed on one collection that can be transposed onto other collections.
Text data mining beyond the open data paradigm: Perspectives at the intersection of intellectual property and ethics
Authors: Senseney Megan , Dickson Koehl Eleanor 
Published: February 2019

ABSTRACTThis poster highlights outcomes from an IMLS‐funded National Forum project on text data mining with content that is subject to use conditions due to intellectual property rights. It argues that developing strong frameworks for conducting text mining with IP‐limited data is an urgent priority for supporting responsible, sustainable research in the twenty‐first century.
Learning visual communication: A preliminary analysis of HCI/UX curricula
Authors: Sosebee July , MacDonald Craig M. 
Published: February 2019

ABSTRACTBoth the significant impact of visual design on users' perceptions of products and the industry‐demand for employees with well‐developed visual design skills in the HCI/UX fields has been well‐documented. However, the question remains: are HCI/UX graduates prepared to address the visual design challenges they will face in their future careers? To answer this question, we have collected and analyzed program outcomes and titles, descriptions, and syllabi for courses relating to visual design and communication. Currently we have looked at 24 universities in North America that offer graduate‐level HCI/UX programs and plan to expand our search to include other countries and undergraduate programs. This visual presentation provides an overview of the current visual design courses being offered to HCI/UX students and introduces a new typology to develop a more comprehensive approach to visual design instruction in this field.
Exploring dynamic change of users' cross‐device search performance
Authors: Wu Dan , Yuan Fang 
Published: February 2019

ABSTRACTThis paper conducted a user experiment to explore dynamic changes of users' cross‐device search performance. By analysing the experiment results, the change of users' search performance was presented and the impact of directions of device‐switch on users' search performance was explored. This paper also provided suggestions for improving cross‐device search system.
Ontology‐based analysis of the large collection of historical Hebrew manuscripts
Authors: Zhitomirsky‐Geffe Maayan , Prebor Gila , Miller Yitzchak 
Published: February 2019

ABSTRACTIn this study we proposed and implemented a new research framework based on the data‐driven approach that aims to quantitatively analyse the largest catalogue in the world of Hebrew manuscripts' metadata records. We used an event‐based ontology model which captures the information on the main types and relationships of manuscript metadata. Then, we utilized the ontology‐based inference to automatically complete and expand the data on Hebrew manuscripts recorded in the catalogue and further mine and analyse this data at the large scale. As part of the quantitative analysis we applied statistical and data visualisation techniques in order to compare the effect of time and place on the manuscripts' characteristics and distribution, to discover previously unknown distant relationships between entities and events, to reveal global phenomena and trends, and better appreciate their impact on the Hebrew writing and its different manifestations.
Cyanoacetaldehyde as a building block for prebiotic formation of pyrimidines
Authors: Kaur Sarabjeet , Sharma Purshotam 
Published: February 2019

AbstractThe present study uses density functional theory to investigate the possible free radical pathways for cytosine and uracil formation from cyanoacetaldehyde in the presence of urea and ammonia. Our proposed mechanisms are characterized by a smaller number of precursors and relatively lower barriers compared to previously reported reactions with other prebiotic precursors. Thus, the proposed mechanisms are more plausible in environments like prebiotic earth and present‐day Titan. Overall, this study suggests a kinetically accessible route to pyrimidine formation and will hopefully contribute toward understanding the relevance of these precursors in prebiotic reactions.
An appreciation of the scientific researches of Dr Peter H. Dawson
Authors: Todd John F.J. , March Raymond E. 
Published: February 2019

Upon the death of Peter H. Dawson in 2015, mass spectrometry lost a major figure. Within the area of radiofrequency quadrupole electric fields applied to mass spectrometry, Dawson stands alongside its pioneers Wolfgang Paul, Nobelist and inventor of the technology, and Wilson Brubaker, who identified and overcame the deleterious effects of fringing electric fields on quadrupole mass filter performance. Seventy‐one of Dawson's 97 scientific publications are concerned with quadrupole mass analysers, ion traps and monopole mass spectrometers. Of especial note are his book and review articles in which he disseminated information on the theoretical fundamentals and practicalities of these systems to a wider audience, thereby having a major impact on the development of this important field of endeavour.The scientific researches of Dr Dawson, and his advice and counsel, influenced to a major degree, and to the better, the research careers, teachings and the lives of the authors of this piece. Their combined researches on quadrupole devices led to the commercialization of the ion trap as a mass spectrometer by which mass spectral information became available at greatly reduced cost. Thus, the advent of commercial ion trapping instruments permitted a greater use of mass spectrometry in both technically advanced countries and those less well advanced. The greatest impact in health services was mass spectrometric analysis of environmental problems, well and stream water, food free of pesticides, etc., and forensic sciences. Our combined indebtedness to Dr Dawson is manifested by this appreciation of his scientific work, the highlighting of his main contributions, and creation of a substantive reference source to his work that can be used by other scientists. A comprehensive list of Dr Dawson's publications, including abstracts or summaries, has been arranged in chronological order of date of submission.
The affect heuristic and stock ownership: A theoretical perspective
Authors: Luo Jiang , Subrahmanyam Avanidhar 
Published: February 2019

AbstractWe consider asset prices and informational efficiency in a setting where owning stock confers direct utility due to an affect heuristic. Specifically, holding equity in brand name companies or those indulging in “socially desirable” activities (e.g., environmental consciousness) confers positive consumption benefits, whereas investing in “sin stocks” yields the reverse. In contrast to settings based on wealth considerations alone, expected stock prices deviate from expected fundamentals even when assets are in zero net supply. Stocks that yield high direct utility are, on average, more informationally efficient as they stimulate more entry into the market for these stocks and, consequently, more information collection. The analysis also accords with a value effect, high valuations of brand‐name stocks, abnormally positive returns on “sin stocks,” volume premia in the cross‐section of returns, proliferation of mutual funds and ETFs, and yields untested implications. If, as psychological literature suggests, agents derive greater utility from successful companies by “basking in reflected glory,” then asset prices react to public signals non‐linearly, leading to booms and busts, as well as crashes and recoveries.
Sustainability priorities, corporate strategy, and investor behavior
Authors: Espahbodi Linda , Espahbodi Reza , Juma Norma , Westbrook Amy 
Published: February 2019

AbstractUsing a sequential experiment, this study examines whether integration of material environmental, social, and governance (ESG) priorities into corporate strategy impacts investors’ short‐ and long‐term stock price assessments and investment allocation. In our examination, we consider the potential moderating effect of financial performance. We find that integration of ESG priorities into strategy does not have a significant effect on investors’ price assessments or investment allocation. This is true regardless of the trend in the company's financial performance. Our results hold across various demographics and the levels of investment knowledge and investment experience. Investors’ perception of relevance and reliability of material ESG information, however, has a mediating effect on their long‐term price assessment and investment allocation. Overall, our findings suggest that any future requirements on disclosure of ESG information by regulators and standard setters should aim to improve investors’ perception of the relevance and reliability of that information.