bluuebunny/crossref_metadata_2025_split huggingface dataset:
Paradigmatic relations and syntagmatic relations: How are they related?
Authors: Chiu Wanying , Lu Kun 
Published: February 2016

ABSTRACTThis study investigates the relationship between syntagmatic and paradigmatic relations. MeSH (Medical Subject Headings) descriptors assigned to the same document are chosen to represent the syntagmatic relations and their paradigmatic relations are determined using the structure of the MeSH thesaurus. With the help of MeSH tree structure, we determined the paradigmatic relations between each pair of assigned descriptors for each document (if there is any). The results show that paradigmatic relations and syntagmatic relations can coexist, but it is not very common. Only 13.56% of the pairs of descriptors are connectable on the MeSH tree, and thus can be said to have some paradigmatic relations. It generally takes 3 to 5 steps on the tree for these pairs of descriptors to reach each other. The results also show that the strength of the paradigmatic relations depends on the specificity of the descriptors. The more specific a pair of descriptors are, the stronger paradigmatic relations they are likely to have. When the assigned descriptors are very general, they are less likely to have strong paradigmatic relations (e.g. parent‐child or siblings relations). The findings of this study can help better use of sematic relations for different applications such as ontology construction, information extraction, information retrieval, question‐answering, and text summarization.
Evaluating popularity data for relevance ranking in library information systems
Authors: Plassmeier Kim , Borst Timo , Behnert Christiane , Lewandowski Dirk 
Published: February 2016

ABSTRACTIn this poster, we present our work in progress to develop a relevance model for library information systems, which takes non‐textual factors into account. Here we focus on popularity data like citation or usage data. These data contain various biases that need to be corrected so as not to degrade the performance of the relevance model. Further, the different data might be to some extent incommensurable. We make use of the Characteristic Scores and Scales method to achieve two goals: first, remove biases from the raw data, and second, establish a common scale for the different data to support weighing the data against each other.
Significant features of thematic research collections
Authors: Fenlon Katrina 
Published: February 2016

ABSTRACTIn order to support innovative scholarship, digital library development must be informed by an understanding of new modes of scholarly production. This paper considers an emergent genre of scholarly publication in the humanities: the digital thematic research collection. While thematic research collections have grown in number and academic significance over the past decade, and this is reflected in the literature on scholarly practice, we do not have a definitive grasp on this exciting phenomenon. What significant features distinguish thematic research collections as a mode of scholarly production? This paper describes a pilot study conducted as part of a project investigating the significant features of thematic research collections. A stronger understanding of thematic research collections will contribute to evolving scholarly evaluation processes for tenure and promotion and the advancement of digital libraries to support new modes of research.
Topical scopes of digital and data curation curricula
Authors: Yang Seungwon 
Published: February 2016

ABSTRACTWe analyzed topical scopes of two digital and two data curation curricula offered as (post)graduate certificates or specializations. We investigated a question of what the topical similarities and differences are between the curricula. To address this question: first, we identified topics from individual course and curriculum descriptions; second, we compared the topics from curriculum descriptions with each other; and third, we compared the topics from course descriptions that are part of a curriculum. We found several topics which were acting as least common denominators between two digital curation and between two data curation curricula. Such topics illustrated the fundamental components within the same type of curricula. The two common topics among all curricula were ‘standards’ and ‘management.’ This may indicate the importance of following the standards in preparation of digital (data) objects and in curatorial processes, as well as the importance of continued management of such resources in a repository. Our approach may be applicable to other types of educational opportunities such as workshops, MOOCs, and webinars. As we analyze more curation curricula, we may be able to develop a more accurate and comprehensive topical framework for the domain of digital and data curation, further enhancing the education for future digital and data curators.
Health information triangulation: A complex and agentic practice among young parents
Authors: Greyson Devon 
Published: February 2016

ABSTRACTIn situations of contested knowledge, information seekers may engage in triangulation practices in order to assess which information is right to meet their needs. Triangulation has been much discussed among researchers, but less so among lay populations. This poster presents results related to the triangulation practices of a group of young parents seeking health and parenting information in the Greater Vancouver region of Canada. Young mothers and fathers in this study described and demonstrated multiple types of triangulation in order to assess and make sense of both authoritative and non‐authoritative information. Seeking pathways were varied but could be classified as one of: a) escalating authoritativeness, b) second opinions, c) medical/non‐medical perspective, or d) inclusive triangulation. Engagement in triangulation practices was used both in deference to and as a mode of challenging medical authority. The dominant cultural emphasis on intensive parenting, coupled with widespread access to the Internet, made it possible and in some cases necessary for lay people to engage in “scientific” information practices such as triangulation.
“A gutenberg moment”: The do‐it‐yourself world of online literary publishing
Authors: Fleming‐May Rachel A. , Green Harriett 
Published: February 2016

ABSTRACTThe Internet has changed the publishing industry irrevocably; this phenomenon has affected the print‐centric sphere of literary publishing as well as those fields that have typically accepted change more readily. This poster presents findings from a study of the opinions and practices of editors and publishers of literary journals published online either in part or exclusively. In a survey and follow‐up interviews, we asked respondents to describe the benefits and drawbacks of publishing literature using web‐based platforms as well as their perceptions of the larger impact online publishing is having on literature. This study represents a unique attempt to explore the creative field of literature through the theoretical lens of information science.
DisasterBox: Designing social media for disaster relief
Authors: Parham Krista , Wong Jessica , Cang Laura , Shash Yasmin , Frazier T. Zachary , McGrenere Joanna 
Published: February 2016

ABSTRACTNatural disasters are a period of uncertainty and instability for those affected. It becomes important for members of the public in a disaster zone to access up‐to‐date information about their environment. Currently, solutions are only set up for information from official sources to flow through existing infrastructure to members of the public. This approach has been criticized for being incomplete and slow to respond. The authors propose an integrated communications solution that would leverage the networked potential of localized actors, whether they are affected members of the public, aid workers, or official agencies sent to provide support.
Building data expertise into research institutions: Preliminary results
Authors: Thompson Cheryl A. 
Published: February 2016

ABSTRACTData‐intensive research promises advancements in scientific knowledge and brings with it new demands for staff that can manage large and complex data, design user services, and facilitate open access. Research institutions are extending their services to scientific data management. As more organizations extend their operations to research data, an understanding of how to build data expertise into staff and service models is needed. Understanding the unique expertise required and various data roles is key to providing a well‐trained workforce that can support data‐intensive science. This study examines how an exemplar data center, the National Center for Atmospheric Research, develops and supports their data expertise. This poster reports preliminary results.
Visualizing teacher tweets: Finding professional learning networks in topical networks
Authors: Handel Dinah , Hochman Jessica , Santoro Doris 
Published: February 2016

ABSTRACTThe data for this study is part of #teachertweets, an interdisciplinary quantitative and qualitative study that examines the networks that US‐based teachers form on Twitter, the conversations they are having there, and the content of individual tweets. This poster uses data visualization to explore teachers tweeting about teaching as a topical network toward more understanding of the ways that teachers engage in professional learning on Twitter.
SOCRATES 2.0: Bridging the gap between researchers and social media data through natural language interactions
Authors: Choi Dongho , Matni Ziad , Shah Chirag 
Published: February 2016

ABSTRACTIn order to help researchers who have to resort to time‐consuming work on collecting, analyzing, and visualizing social media data, we have developed a system, called the Social and Crowdsourced Activity Extraction System (SOCRATES). This tool supports researchers utilize a single, modularly architected, open‐sourced, and standardized platform for collecting, analyzing, and visualizing social media data. In this demonstration, a follow‐up to one we presented at ASIST 2014 (Matni, Choi, & Shah, 2014), we present “SOCRATES 2.0” with improved functionalities, more precisely, those that help users focus on their research problem(s) without spending time and effort dealing with details in data processing. Through a process of asking questions related to the users’ interests and requests for certain analyses, the system generates one sentence about a possible research statement and provides the collected data and analysis results with one click.
Health information and health literacy: Public library practices, challenges and opportunities
Authors: Rubenstein Ellen L. 
Published: February 2016

ABSTRACTThis poster reports on a study of 18 libraries in two public library systems in central Oklahoma. The project sought to gain an in‐depth understanding of how libraries are contributing to health information access and health literacy. The poster reports on preliminary results in regard to three aspects of the study: library personnel's perspectives on the roles and responsibilities of libraries in reference to health information and literacy, how staff assisted patrons with health questions, and how they defined “health literacy.” This research highlights disparities in library staff's understanding of health literacy, as well as some of the problems they encounter as they disseminate health information.
Exploring openness in data and science: What is “open,” to whom, when, and why?
Authors: Pasquetto Irene V. , Sands Ashley E. , Borgman Christine L. 
Published: February 2016

ABSTRACT“Open data” is a popular phrase in research practice and science policy. While stakeholders agree on some aspects of this concept, many others remain hotly debated. As a means to identify the main themes and arguments surrounding open data, we analyzed highly cited publications from the last 10 years that address data sharing or open access to research data. We identify and synthesize eight components of open data that vary among policies, studies, and initiatives, and present problematic arguments worthy of further investigation.
Enhancing user search experience in digital libraries with rotated latent semantic indexing
Authors: Polyakov Serhiy 
Published: February 2016

ABSTRACTThis study investigates a semi‐automatic method for creation of topical labels representing the topical concepts in information objects. The method is called rotated latent semantic indexing (rLSI). rLSI has found application in text mining but has not been used for topical labels generation in digital libraries (DLs). The present study proposes a theoretical model and an evaluation framework which are based on the LSA theory of meaning and investigates rLSI in a DL environment. The proposed evaluation framework for rLSI topical labels is focused on human‐information search behavior and satisfaction measures. The experimental systems that utilize those topical labels were built for the purposes of evaluating user satisfaction with the search process. A new instrument was developed for this study and the experiment showed high reliability of the measurement scales and confirmed the construct validity. Data was collected through the information search tasks performed by 122 participants using two experimental systems. A quantitative method of analysis, partial least squares structural equation modeling (PLS‐SEM), was used to test a set of research hypotheses and to answer research questions. The results showed a not significant, indirect effect of topical label type on both guidance and satisfaction. The conclusion of the study is that topical labels generated using rLSI provide the same levels of alignment, guidance, and satisfaction with the search process as topical labels created by the professional indexers using best practices.
Metadata change in traditional library collections and digital repositories: Exploratory comparative analysis
Authors: Zavalina Oksana L. , Kizhakkethil Priya , Shakeri Shadi 
Published: February 2016

ABSTRACTThis paper reports preliminary results of a comparative study of metadata change over time in two different environments – digital repository and bibliographic utility used for cooperative cataloging – and with two different metadata schemes – a local version of Dublin Core and Machine Readable Cataloging (MARC). The findings with regards to metadata change types and subtypes observed, as well as the most frequently occurring change categories and metadata fields in which the change occurs most frequently are presented, and the implications are discussed.
Self‐Presentation in academia today: From peer‐reviewed publications to social media
Authors: Bar‐Ilan Judit , Bowman Timothy D. , Haustein Stefanie , Milojević Staša , Peters Isabella 
Published: February 2016

ABSTRACTThe panel explores the theoretical, practical, and policy aspects of self‐presentation in academia given the rapidly changing world of knowledge creation, dissemination and consumption. It offers insights into both the potential and challenges of social media in academia and highlights future directions regarding scholarly communication. The goal of the panel is to start an interactive discussion based on a number of important themes related to social media use and appearance of various stakeholders in academia that will be of interest to scholarly communication researchers, information professionals, librarians and administrators.
Observing serendipity in digital information environments
Authors: Makri Stephann , Bhuiya Jaffor , Carthy Jermaine , Owusu‐Bonsu Jermaine 
Published: February 2016

ABSTRACTWe often interact with digital information environments to find useful information. But sometimes useful information finds us unexpectedly, propelling us in new and exciting directions. We might come across information serendipitously when looking for information on something else, or when we are not looking for anything in particular. In previous studies, people have self‐reported that they come across information serendipitously. However, there has been limited success in directly observing people doing so. To see if we could have more success, we conducted naturalistic observations of 45 users interacting with different types of digital information environments. Without priming them about serendipity, we asked the users to conduct self‐chosen naturalistic information tasks, which varied from broad tasks such as browsing online news to narrow tasks such as finding a particular product to buy. We noted several examples where users either 1) stated they were looking for information on a particular topic or product and unexpectedly found useful/potentially useful information about something else or 2) unexpectedly found useful/potentially useful information when not looking for anything in particular. Our findings suggest that, with a carefully‐considered approach, serendipity‐related information interaction behaviour can be directly observed. Direct observation allows designers of digital information environments to better understand this behaviour and use this understanding to reason about ways of designing new or improving existing support for serendipity.
Analyzing MOOC discussion forum messages to identify cognitive learning information exchanges
Authors: Wong Jian‐Syuan , Pursel Bart , Divinsky Anna , Jansen Bernard J. 
Published: February 2016

ABSTRACTWhile discussion forums in online courses have been studied in the past, no one has proposed a model linking messages in discussion forums to a learning taxonomy, even though forums are widely used as educational tools in online courses. In this research, we view forums as information seeking events and use a keyword taxonomy approach to analyze a large amount of MOOC forum data to identify the types of learning interactions taking place in forum conversations. Using 51,761 forum messages from 8,169 forum threads from a MOOC with a 50,000+ enrollment, messages are analyzed based on levels of Bloom's Taxonomy to categorize the scholarly discourse. The results of this research show that interactions within MOOC discussion forums are a learning process with unique characteristics specific to particular cognitive learning levels. Results also imply that different types of forum interactions have characteristics relevant to particular learning levels, and the volume of higher levels of cognitive learning incidents increase as the course progresses.
Seeking common ground: Coffee shops as information grounds in the context of conflict
Authors: Rohman Abdul , Pang Natalie 
Published: February 2016

ABSTRACTUsing coffee shops as information grounds in the context of Christians and Muslim violent conflicts in Indonesia, this paper explores and explicates the emergence of information grounds in the context of conflicts. In a polarized society, coffee shops are constructed as a venue for social reliefs and rituals. They function as social magnets, attracting conflicting actors to put off their differences in lieu of community building. As information grounds, coffee shops allow human actors to cultivate trust and develop networked individuals. Individuals’ capabilities are connected within the communitarian spectrum. Diverse information is shared and exchanged but searching for a common ground is the main goal. As information grounds, the coffee shops reported in this paper are spaces where social capital flourish and increase in value with greater levels of trust. Through the discussion, we posit information grounds as spaces for conflict transformation.
Signal architectures of US public libraries: Resolving legitimacy between public and private spheres
Authors: Widdersheim Michael M. , Koizumi Masanori 
Published: February 2016

ABSTRACTPublic library systems intersect with both public and private spheres of social life, but how they do so remains a mystery. Many believe private influences distort the public sphere in public libraries, and if so, then library legitimacy suffers, raising normative and material concerns for library systems. To better understand how libraries negotiate public legitimacy and private influence, we approached the problem using a communications system framework. We used qualitative content analysis to examine data from three US public library systems: Carnegie Library of Pittsburgh, New York Public Library, and Cary Memorial Library in Lexington, Massachusetts. We recorded the many ways private actors communicate with and through public library systems. Then, we analyzed the signals in terms of their components: transmitter, receiver, medium, and message. We found two dimensions: in the Public Sphere dimension, private actors govern, legitimate, and use the library, and in the Private Sphere dimension, private actors exchange personal services and exert economic power. We describe the communication channels shared by private actors and public library systems, identify signals associated with governance, influence, and legitimacy, and consider how these signals relate. This study explores the signal architectures of social life in public libraries.
Acceptance of knowledge management concepts in religious organizations: The impacts of information and willful disengagement from productive inquiry
Authors: Freeburg Darin 
Published: February 2016

ABSTRACTThis study analyzed how churches create cultures in which the recirculating of the same information is encouraged, or cultures in which new information is introduced regularly. It then analyzed how these cultures impact engagement with important knowledge management (KM) principles. Particular attention was paid to the factors that contribute to a church's decision to engage in a critical questioning of assumed beliefs—productive inquiry (PI)—shown to be an important behavior in successful organizations. In eight, 90‐minute focus groups, 28 congregants from Mainline Protestant churches were asked to discuss the information behavior surrounding their religious beliefs. Qualitative coding and analysis revealed that the introduction of shared information produced barriers to PI, and the introduction of unique information encouraged PI. However, congregations were purposive in their decision to either engage or disengage in this inquiry based on organizational goals. Analysis showed that the decision to engage with PI was dependent upon a number of variables. A model is provided that outlines the necessary conditions for a congregation with a goal of either PI, or its conceptual opposite—reaffirmation of existing information and beliefs. This reaffirmation tended to result from a relationship goal, but it is suggested that this relationship goal might be better achieved through PI. This study has important implications for organizations that could benefit from the implementation of KM but are less receptive to its requirements.
If you build it, will they come? – A discussion of use cases and barriers of using the knowledge organization systems (KOS) available as linked open data (LOD)
Authors: Zeng Marcia Lei , Hlava Marjorie , Busch Joseph A. , Buchel Olha , Žumer Maja 
Published: February 2016

ABSTRACTThe publishing of knowledge organization systems (KOS) as Linked Open Data (LOD) has become a well‐accepted practice during the last five years. More than 1,000 thesauri, classifications, taxonomies, ontologies, term lists, and other types of KOS are available as LOD datasets. However, there are still visible and invisible barriers for the real end‐users (i.e., those other than the creators and publishers of KOS products) to access and use the LOD KOS. More importantly, the question arises as to how the LOD KOS can be used as more than traditional “controlled vocabularies” or function as more than just “value vocabularies” in the Semantic Web. Of course, the new functions are made possible because of the use of Semantic Web standards such as SKOS, OWL, RDFS, and SPARQL, but what are the appropriate practices for the implementation, extension, access, and use of these standards in the final deliverables? This panel will cover the use cases of the LOD KOS while also address the barriers and issues of using them.